MX2008009206A - Apparatuses and methods for transmitting and receiving uncompressed av data - Google Patents

Abstract

Apparatuses and methods are provided for transmitting and receiving uncompressed audio or video (AV) data by applying a different coding rate to each bit or each group of bits included in the uncompressed AV data according to significance of each bit or each group of bits. The apparatus for transmitting the uncompressed AV data includes a grouping unit which classifies bits of each pixel included in the uncompressed AV data into at least two groups of bits according to a significance of the bits;an encoding unit which performs error correction encoding on each of the at least two groups using a different coding rate;and a radio frequency (RF) processing unit which transmits the encoded, uncompressed AV data, which includes the pixels on which the error-correction encoding was performed, using a communication channel.

Description

APPARATUS AND METHODS FOR TRANSMITTING AND RECEIVING AV DATA NOT COMPRESSED FIELD OF THE INVENTION The methods and apparatus consistent with the present invention relate to the transmission and reception of uncompressed audio or video (AV) data, and more particularly, to the transmission and reception of uncompressed AV data over a wireless network. applying a different coding rate to each bit or each group of bits included in the uncompressed AV data according to the importance of each bit or each group of bits.

BACKGROUND OF THE INVENTION When networks become wireless and the demand for large multimedia data transmission increases, there is a need for studies in an effective transmission method in a wireless network environment. In particular, the need for several home devices to wirelessly transmit high-quality videos, such as digital video disk (DVD) images or high-definition television images, is growing.

(HDTV). An IEEE 802.15.3c task group is developing a technology standard for transmitting high volume REF data. : 194687 on a wireless home network. The technological standard, which is called a millimeter wave (mmWave), uses an electrical wave that has a physical wavelength of one millimeter (that is, an electrical wave that has a frequency band of 30 300 GHz) to transmit large data. volume. This frequency band, which is a non-licensed band, has conventionally been used by communication service providers or used for limited purposes, such as electric wave observation or vehicle collision avoidance. Figure 1 is a diagram which compares the serial frequency bands of standards IEEE 802.11 and mra ave. With reference to Figure 1, an IEEE 802.11b or IEEE 802. llg standard uses a carrier frequency of 2.4GHz and has a channel bandwidth of approximately 20 MHz. In addition, an IEEE 802.11a or IEEE 802. lln standard uses a frequency 5 GHz carrier and has a channel bandwidth of approximately 20 MHz. On the other hand, mmWave uses a carrier frequency of 60 GHz and has a channel bandwidth of approximately 0.5 2.5 GHz. Therefore, it can be understood that mmWave has a very large channel bandwidth and carrier frequency than the IEEE 802.11 series of standards of the related art. When a high frequency signal (a millimeter wave) having a millimeter wavelength is used, a very high transmission speed of several Gbps can be achieved. Since the size of an antenna can also be reduced to less than 1.5 mm, a single chip which includes the antenna can be implemented. In addition, interference between devices can be reduced due to a very high attenuation ratio of the high frequency signal in the air. Recently, a method of transmitting uncompressed audio and video data (later, referred to as uncompressed AV data) between wireless devices using a high bandwidth of one millimeter wave has been studied. The uncompressed AV data is generated after lossy compression processes which include motion compensation, discrete cosine transform (DCT), quantization, and variable length coding (VLC) processes. In doing so, the portions of the compressed AV data, to which the human auditory and visual senses are less sensitive, are removed. On the other hand, uncompressed AV data includes digital values indicating pixel components (e.g., red (R), green (G), and blue (B) components). Therefore, the bits included in the uncompressed AV data have different degrees of importance as long as there is no difference in the importance of the bits included in the compressed AV data. For example, with reference to Figure 2, a pixel component of an eight-bit image is represented by eight bits. Of the eight bits, a bit that represents the highest order (the highest level bit) is the very significant bit (MSB), and a bit that represents the lowest order (the lowest level bit) is the least significant bit (LSB) ). In other words, each of the eight bits that form a byte of data has a different importance in the restoration of an image or audio signal. An error that occurs in a bit of high importance during the transmission of data can be more easily detected than an error that occurs in a bit of low importance. Therefore, high-importance bit data need to be better protected against errors that occur during wireless transmission than bit data of minor importance. However, an error correction method has been used, in which the same coding rate is applied to all bits that will be transmitted as in the transmission method of the related art used by the IEEE 802.11 series of standards. Figure 3 is a diagram illustrating the structure of a physical layer protocol data unit (PHY) (PPDU) 30 of the IEE 802.11a standard. With reference to Figure 3, the PPDU 30 includes a preamble, a signal field, and a data field. The preamble, which is a signal for channel estimation and PHY layer synchronization, includes a plurality of short training signals and a long training signal. The signal field includes a SPEED field indicating a transmission rate and a LENGTH field indicating the length of the PPDU 30. Generally, the signal field is encoded by a symbol. The data field includes a physical layer service data unit (PSDU), a tail bit, and a padding bit. The data that is transmitted is included in the PSDU. The data recorded in the PSDU are composed of codes that are encoded using a convolution encoder. The bits that form data, such as compressed AV data, are not different in terms of importance. In addition, since the bits are encoded using the same error correction coding method, an equal error correction capability is applied to each bit.

BRIEF DESCRIPTION OF THE INVENTION This method of transmitting data of the related art can be effective for transmission of general data. However, if each portion of data to be transmitted has a different importance, it is required to perform higher error correction coding in portions of greater importance to reduce the probability of error occurrence. To prevent the occurrence of error, a transmission end performs error correction coding on the data. Even if an error occurs while the encoded error correction data is transmitted, the encoded error correction data can be restored as long as the error is within a correctable range. There is a variety of error coding algorithms, and each error correction coding algorithm has a different error correction capability. Even the same error correction coding algorithm can show different operations depending on a coding rate used. In general, when the coding speed increases, the efficiency of data transmission is improved, but the error correction capability is reduced. Conversely, when the correction speed decreases, the data transmission efficiency is reduced, but the error correction capability is improved. As described above, since the uncompressed AV data includes bits that have different degrees of importance different from the compressed AV data, the upper bits, which are more significant than the lower bits, need to be better protected against errors during transmission of data. The methods of the related art to ensure stable wireless data transmission includes a method for restoring the data using error correction coding and a method for retransmitting data that has an error from a transmitting end to a receiving end. In particular, the present invention relates to a method for applying differential error correction coding to bits that form uncompressed AV data according to the importance of the bits. The present invention provides apparatuses and methods which apply a different coding rate to each bit or each group of bits included in uncompressed audio or video (AV) data according to the importance of each bit or each group of bits when transmit and receive the uncompressed AV data over a wireless network. In accordance with one aspect of the present invention, an apparatus for transmitting uncompressed AV data is provided. The apparatus includes a grouping unit that classifies the bits of each pixel included in the uncompressed AV data in at least two groups of bits according to the importance of the bits; a coding unit that performs error correction coding in each of at least two groups using a different coding rate; and a radio frequency (RF) processing unit that transmits the uncompressed encoded AV data, which includes the pixels in which the error correction coding is performed, using a communication channel. In accordance with another aspect of the present invention, an apparatus for receiving uncompressed AV data is provided. The apparatus includes an RF processing unit that receives, through a communication channel, the uncompressed AV data comprised of pixels that include bits which were classified into at least two groups of bits according to the importance of the bits already each group of which a different coding rate was applied; a decoding unit performing different error correction decoding in each group using the different coding rate; and a bit combining unit combining at least two groups in which the error correction decoding was performed and generating decoded uncompressed AV data. In accordance with another aspect of the present invention, a method for transmitting uncompressed AV data is provided. The method includes classifying the bits of each pixel included in the uncompressed AV data into at least two groups of bits according to the importance of the bits; performing error correction coding in each of at least two groups using a different coding rate; and transmitting the encoded uncompressed AV data, which includes the pixels in which the error correction coding was performed, using a communication channel. In accordance with another aspect of the present invention, a method for receiving uncompressed AV data is provided. The method includes receiving, through a communication channel, uncompressed AV data comprised of pixels that include bits which are classified into at least two groups of bits according to the importance of the bits and to each group of which a different one. coding speed was applied; perform different error correction decoding in each group using the different coding speed; and combining at least two groups in which the error correction decoding was performed and generating decoded non-compressed AV data.

BRIEF DESCRIPTION OF THE FIGURES The foregoing and other aspects of the present invention will become more apparent by describing in detail certain exemplary embodiments thereof with reference to the accompanying figures, in which: Figure 1 is a diagram comparing the bands of frequency series IEEE 802.11 and mmWAve standards; Figure 2 is a diagram illustrating a plurality of bit levels of a pixel component; Figure 3 is a diagram illustrating the structure of a PPDU of an IEEE 802.11a standard; Figure 4 is a diagram illustrating an error correction coding method of the related art; Fig. 5 is a diagram illustrating an error correction method according to an exemplary embodiment of the present invention; Figure 6 is a block diagram of an apparatus for transmitting uncompressed AV data in accordance with an exemplary embodiment of the present invention; Figure 7 is a detailed block diagram of a channel coding unit illustrated in Figure 6; Figure 8 is a diagram illustrating the configuration of the first and second convolution coding units having a basic coding rate of 1/2; Figure 9 is a diagram illustrating a selective removal process according to an exemplary embodiment of the present invention; Figure 10 is a block diagram of an apparatus for receiving uncompressed AV data in accordance with an exemplary embodiment of the present invention; and Figure 11 is a detailed block diagram of a channel decoding unit illustrated in Figure 10.

DETAILED DESCRIPTION OF THE INVENTION The present invention will now be described more fully with reference to the accompanying figures, in which exemplary embodiments of the invention are shown. The invention, however, can be included in many different forms and should not be constructed by being limited to the exemplary embodiments described herein; rather, these exemplary embodiments are provided so that this description will be complete and complete, and will completely convey the concept of the invention to those skilled in the art. Similar reference numbers in the figures denote similar elements, and therefore their description will be omitted. The embodiments of the present invention will be described later in detail with reference to the accompanying figures. Fig. 4 is a diagram illustrating an error correction coding method of the related art, and Fig. 5 is a diagram illustrating an error correction method according to an exemplary embodiment of the present invention.

The compressed AV data is generated after the processes to improve a compression rate, such as quantification and entropy coding. Therefore, there is no difference in the priority or importance between the bits that make up each pixel of the compressed AV data. In this regard, with reference to Figure 4, the compressed AV data of the related art is encoded for error correction using a fixed coding rate. Even if the compressed AV data of the related art is encoded for error correction using a variable coding rate, such error correction coding is based on external conditions such as communication environments, but is not based on the importance of each data bit. However, as described above with reference to Figure 2, each bit of uncompressed AV data has a different importance according to a bit level. Therefore, it may be desirable to encode error correction a plurality of bits included in each pixel of the uncompressed AV data using different coding rates according to bit levels as illustrated in FIG. 5. However, if all the bits are encoded for error correction using different coding rates, the amount of computing required of a transmission device and a receiving device may increase. Therefore, a plurality of bits are divided into several groups according to the bit levels, and each group can be encoded for error correction using a different coding rate. In this case, a lower coding rate is applied to the bits included in the groups of significantly greater importance. As described above, the present invention seeks to improve the transmission efficiency of non-compressed AV data by applying different bit-rate coding rates according to the importance of the bits. It will be understood that each block in the block diagrams, and combinations of blocks in flowchart illustrations, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, so that the instructions, which are executed via the processor of the computer or other programmable data processing apparatus, create means to implement the specific functions in each block of the block diagrams or each block of flowchart of the flowchart illustrations. These computer program instructions may also be stored in a computer-readable or computer-readable memory which may direct a computer or other programmable data processing apparatus to operate in a particular manner, so that the instructions stored in the readable memory computer-generated or computer-useable they produce an article of manufacture that includes instructional means that complement the function specified in each block of the block diagrams or each block of flowchart of the flowchart illustrations. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a process implemented on the computer so that the instructions which are executed on the computer or other programmable apparatus provide steps to implement the functions specified in each block of the block diagrams or each block of flow chart of the flow chart illustrations. And each block or each block of flowchart may have a module, segment, or portion of code, which comprises one or more executable instructions to implement the specific logic functions. It should also be noted that in some alternative implementations, the functions indicated in the flow diagram blocks or blocks may occur out of order. For example, two blocks or flow diagram blocks shown in succession can be executed substantially concurrently. Alternatively, some flow chart blocks or blocks can be executed in the reverse order, depending on the functionality involved. Figure 6 is a block diagram of an apparatus 600 for transmitting uncompressed AV data in accordance with an exemplary embodiment of the present invention. With reference to Figure 6, apparatus 600 includes a storage unit 610, a bit separation unit 620, a plurality of channel coding units 630, a plurality of modulation units 640, a plurality of digital converters to analog (DA) 650, an RF processing unit 660, a system clock generation unit 670, and a frequency generating unit 680. The storage unit 610 stores uncompressed AV data. If the uncompressed AV data is video data, the sub pixel values of each pixel are stored in the storage unit 610. Several sub pixel values can be stored according to a used color space (for example, a RGB color space or a color space YCbCr). The description of the present invention will be made based on the assumption that each pixel is composed of three sub-pixels, that is, sub-pixels R, G and B, according to a RGB color space. If the video data is a gray image, there is only one sub-pixel component. Therefore, a pixel can be composed of one sub-pixel, or two or four sub-pixel components. The bit separation unit 620 separates the sub-pixel values (binary values) provided by the storage unit 610 in the highest order (level) to lowest order (level) bits. For example, since the 8-bit video data has an order that varies from 27 to 2o, the sub-pixel values can be divided into 8 bits. The bit separation process is performed independently for each sub-pixel. In the bit separation process, the bit separation unit 620 can divide the input RGB data into a number of groups and uniformly distribute the RGB data groups to a plurality of frequency channels. For example, it is assumed that three frequency channels (first to third frequency channels) are supported and that the R data is placed on the first frequency channel, the G data is placed on the second channel, and the B data is placed on the second channel. in the third channel. In this case, there is a problem with a first channel, a video displayed by an apparatus for receiving uncompressed AV data may not be able to properly express red. Therefore, the bit separation unit 620 places an equal number of pieces of RGB data in each frequency channel. Consequently, even if one of the frequency channels has a problem, the video displayed by the apparatus can maintain a uniform color in general. For each frequency channel, the channel coding units 630 encode error correction bits, which were separated by the bit separation unit 620, using appropriate coding rates according to the importance of the bits and generate a Useful load. To this end, the channel coding units 630 can be implemented for each frequency channel. The error correction coding performed by the channel coding units 630 is largely divided into block coding and convolution coding. Block coding (for example, Reed-Solomon coding) is a technology which encodes data in units of certain blocks, and convolution coding is a technology which performs coding by comparing the previous data with the current data using a memory with a certain length. Block coding is known to be inherently resistant to burst errors, and convolution coding is known to be inherently resistant to random errors. Generally, in the error coding, the input bits k are converted into an n-bit password. In this case, the coding rate is given by k / n. When the coding rate decreases, the input bits are encoded in a password that has bits larger than the input bits. Therefore, the error correction efficiency can be improved. The channel coding units 630 will be described in detail later with reference to Figure 7. Modulation units 640 modulate the encoded data with error correction. In this case, the modulation units 640 can perform orthogonal frequency division multiplexing (OFDM) modulation in the encoded data with error correction. The modulation of OFDM will now be described. In the OFDM modulation, the input data is classified into NM array data symbols parallel to each other, and the data symbols are modulated by corresponding sub-carriers, respectively. Then, the modulated results are added together to form an OFDM symbol. At this point, the subcarriers are orthogonal to each other.

The D / A converters 650 convert the digital data modulated by the modulation units 640 into analogous data. The RF processing unit 660 performs the RF over-conversion on the analog data received from the D / A 650 converter, generates a certain RF signal, and transmits the certain RF signal to a wireless medium. In other words, the RF processing unit 660 transmits the uncompressed, encoded AV data which includes pixels to which the error correction coding has been applied. The communication channels used by the RF processing unit 660 include a 60 GHz communication channel. In FIG. 6, the apparatus 600 includes the channel coding units 630, the modulation units 640, and the D / D converters. At 650. However, the apparatus 600 may include a channel coding unit 630, a modulation unit 640, and a D / A converter 650 by inserting a separate multiplexing unit (not shown). The system clock generation unit 670 generates a system clock of the apparatus 600. The channel coding units 630 perform their operations in response to the generated system clock. The frequency generating unit 680 generates a frequency used by the channel coding unit 630 and the modulation unit 640. Accordingly, the channel coding units 630 can perform error correction coding for each frequency channel in response to the same system clock, and the modulation units 640 can perform a modulation operation using the frequency generated by the frequency generating unit 680 as a carrier wave. The system clock and the frequency respectively generated by the system clock generation unit 670 and the frequency generating unit 680 can be transmitted to the apparatus through the uncompressed AV data, which is transmitted by the processing unit. RF 660, or separate control package. Accordingly, the apparatus maintains the same system clock and frequency phase as the error correction and modulation coding performed by the apparatus 600 to perform the error correction and demodulation decoding. Figure 7 is a detailed block diagram of each of the channel coding units 630 illustrated in Figure 6. With reference to Figure 7, each of the channel coding units 630 includes a grouping unit 710, first and second parallel to series (P / S) converters 721 and 722, first and second convolution coding units 731 and 732, first and second selective elimination units 741 and 742, and a combination unit 750. The grouping unit 710 classifies the bits of each pixel included in the uncompressed AV data in at least two groups according to the importance of the bits. For example, the grouping unit 710 can classify eight bit levels into three groups, i.e., a group of two bit levels and two groups of three bit levels from the highest to the lowest bit levels, and a different one. Coding speed can be applied to each group. Alternatively, the highest bit levels can be classified into two groups of four upper bit levels and four lower bit levels, respectively. In addition, the eight bit levels can be classified into eight groups as illustrated in FIG. 5. The classification method may vary according to the attributes of the uncompressed AV data to be transmitted and a transmission network environment. For example, when uncompressed AV data will be transmitted to a large display device, a ratio of one coding rate of a bit level group higher than that of a lower bit level group may be 4: 4 for Focus on a relatively improved image representation. When uncompressed AV data will be transmitted to a device using a small size display, such as a mobile device, the ratio of the coding rates of the two groups can be 2: 6 or 3: 5 to focus on an improved restoration capability of the upper bit level group. Then, a case where the grouping unit 710 classifies raw data into a group of four higher bit levels and a group of four lower bit levels will be described as an example. The upper bits included in the group of four upper bit levels, which are classified by the grouping unit 710, are input to the first P / S converter 721, and the lower bits included in the group of four lower bit levels are introduce the second P / S converter 722. The first and second P / S converters 721 and 722 convert the data in parallel of the four upper bit levels and those four lower bit levels in serial data for error correction coding. The first and second convolution coding units 731 and 732 perform error correction coding in the serial data using first and second coding rates, respectively. The error correction coding includes block coding and convolution coding. In the present invention, convolution coding will be used as an example. The first coding rate is less than the second coding rate applied to the four lower bit levels. For example, the first coding rate may be 1/3, and the second coding rate may be 2/3. Figure 8 is a diagram illustrating the configuration of the first and second convolution coding units 731 and 732 that have a basic coding rate of 1/2. With reference to Figure 8, the first and second convolution coding units 731 and 732 include two adders 821 and 822 and six registers 831 through 836. The first and second convolution coding units 731 and 732 require recorders 831 through 836. since a convolution coding algorithm compares the previous data with current data. Generally, the sum of the number of registrars and the number of input raw data, that is, a value obtained after 1 is added to the number of registrars is called a restriction length. The raw data 810 is input to the first and second convolution encoding units 731 and 732, and the encoded data X and Y are produced. The first and second selective elimination units 741 and 742 selectively remove some of the encoded bits with error correction. Selective deletion denotes removing some of the bits encoded by the first and second convolution encoding units 731 and 732 to increase the transmission rate of the encoded bits. In this case, the removed bits are not transmitted. Since the selective elimination process increases the transmission speed, more data can be transmitted. However, there is a higher probability of error occurrence when the bits removed selectively by the first and second convolution coding units 731 and 732 are received. When the convolution coding is used for error correction coding, a different coding rate is generated for each group of bit levels by removing a different number of bits from a plurality of bits included in each group. Figure 9 is a diagram illustrating a selective removal process according to an exemplary embodiment of the present invention. With reference to Figure 9, the bits or groups of bits classified according to the bit levels are converted by the first and second convolution coding units 731 and 732 having a basic coding rate of 1/2 in passwords of bits X0 through X7 and YO through Y7, which are twice the raw data DO up to D7. In figure 9, DO up to D3 indicate higher bits, and D4 through D7 indicate lower bits. The upper bits DO to D3 are converted into the XO to X3 and YO to Y3 bits, and the lower bits D4 to D7 are converted into the X4 to X7 and Y4 to Y7 bits. In other words, the bits produced from the first convolution coding unit 731 are XO through X3 and YO through Y3, and the bits produced from the second convolution coding unit 732 are X4 through X7 and Y4 through Y7. The first and second selective elimination units 741 and 742 simultaneously perform the selective elimination process through a switching operation. The first selective elimination unit 741 removes some, that is, a 911 bit, from the XO to X3 and YO to Y3 bits, thereby converting the coding rate from 2/1 to 4/7. In other words, since the number of pieces of the input raw data is four (DO to D3) and the number of pieces of output data is seven (XO to X3 and YO to Y2), the coding rate applied to the upper bits is 4/7. In Figure 9, the bits marked by X denote selectively deleted bits. The second selective elimination unit 742 also removes some 921 to 923 of the bits X4 through X7 and Y4 through Y7, thereby converting the coding rate from 2/1 to 4/5. In other words, since the number of pieces of input raw data is four D4 through D7, and the number of pieces of output data is five (X4, X5, X7, Y4 and Y7), the coding rate applied to the lower bits is 4/5. The processes of selective elimination carried out by the first and second units of selective elimination 741 and 742 can be stored as a series of algorithms and can be applied to all input bits so that an identical encoding rate can occur. For example, the first selective elimination unit 741 can remove bit 911 at the Y3 position of the upper bits as illustrated in FIG. 9 or another bit. By doing so, the first selective deletion unit 741 can convert the coding rate of the upper bits to 4/7. The second selective elimination unit 742 can remove bits 921 through 923 at the X6, Y5, and Y6 positions of the lower bits as illustrated in Figure 9 or other bits. By doing so, the second selective elimination unit 742 can convert the coding rate of the lower bits to 4/5. In other words, the first and second selective elimination units 741 and 742 can remove the bits at particular positions to produce an identical coding rate.

If the first and second coding rates (eg, 4/7 and 4/5, respectively) can be obtained directly by the first convolution coding unit 731 and the second convolution unit 723, the selective deletion process described above it can be omitted. To this end, each of the channel coding units 630 may include a coding rate determination unit 760. The coding rate determination unit 760 determines a coding rate with reference to the number of groups generated by the unit of grouping 710. For example, if the error correction coding is convolution coding and there are two groups of bits, the coding rate determination unit 760 determines that a coding rate of either of the two groups is more than means that be 4/7 and a coding rate of either of the two groups is less significant than 4/5 by adjusting an input / output speed of the first and second convolution coding units 731 and 732 or by adjusting the selective deletion process of the first and second selective elimination units 741 and 742. In addition, if the correction coding Error code is block coding, the first and second coding rate can be generated differently for a bit or a group of bits of each bit level by setting a different parity byte size for the bit or group of bits of each bit level. Finally, the combination unit 750 combines the coded data of the upper bit levels and the coded dices of the lower bit levels and generates a payload, i.e., a MAC protocol data unit (MDPU). Given the number of bits entering the channel coding unit 630 and the number of bits leaving the first and second convolution coding units 731 and 732, since the number of bits that initially enters the coding unit of channel 630 is 8, and the number of bits that come out of the first and second convolution coding units 731 and 732 is 12 (= 7 + 5), the total coding rate is 2/3 (= 8/12) . In other words, the performance of the error correction coding using the total coding rate of 2/3 according to the present embodiment may appear identical to the embodiment of the error correction coding using a coding rate of 2/3. However, since different coding rates are applied to the bits according to the importance thereof, the error correction coding method according to the present exemplary embodiment shows superior error correction capabilities with the coding method. of error correction of the related art using simply the 2/3 coding rate. Figure 10 is a block diagram of the apparatus 100 for receiving uncompressed AV data in accordance with an exemplary embodiment of the present invention. With reference to Figure 10, the apparatus 100 includes an RF processing unit 1010, a plurality of analog-to-digital (A / D) converters 1020, a plurality of demodulation units 1030, a plurality of channel decoding units 1040. , a bit combination unit 1050, a reproduction unit 1060, and a synchronization unit 1070. The RF processing unit 1010 receives, although a certain communication channel, uncompressed AV data that are composed of pixels that include bits which were classified into at least two groups according to the importance of the bits and each group of which a different coding rate was applied. The communication channels used by the RF processing unit 1010 include a communication channel of 60 GHz. The A / D converters 1020 convert the analog data received from the RF processing unit 1010 into digital data.

The demodulation units 1030 perform the demodulation of OFDM in the digital data received from the A / D converters 1020. The channel decoding units 1040 perform the decoding of error correction in data of each group, which were encoded using a different one. coding speed, using the corresponding coding rate. This error correction decoding is a reverse process of the error correction coding performed by the channel encoding units 630. In the error correction decoding, an n-bit password is restored in raw data of k- bit. The channel decoding units 1040 can verify a field of a PHY header to identify a coding rate applied to the encoded data. For example, if the first and second encoding rates used by the apparatus 600 and the apparatus 1000 are fixed, the channel decoding units 1040 may perform error correction decoding using the first and second fixed coding rates. However, if the first and second coding rates used by the two apparatuses 600 and 1000 are not fixed, the apparatus 600 inserts modes having different coding rates in a certain field of the PHY header. Therefore, the channel decoding units 1040 identify the modes in the field and perform the error correction decoding using the first and second coding rates corresponding to the identified modes. To this end, the apparatus 1000 may include a storage unit (not shown) that stores modes and coding rates corresponding to the modes. The bit combination unit 1050 combines the bits output from the channel decoding units 1040 according to bit levels (from MSB to LSB), restores each sub-pixel component, and generates decoded uncompressed AV data. Each sub-pixel component (e.g., a R, G or B component) restored by the bit combination unit 1050 is provided to the reproduction unit 1060. The reproduction unit 1060 collects each sub-pixel component, is say, pixel data, and, if a video frame is completed, displays the completed video frame on a displayed device (not shown), such as a cathode ray tube (CRT), a liquid crystal display (LCD) or a plasma display panel (PDP), in response to a reproduction timing signal. The synchronization unit 1070 identifies a system clock and a frequency of the apparatus 600 received via the uncompressed AV data or a separate control packet and generates a system clock and a frequency corresponding to the received system clock and frequency. The system clock and frequency generated by the synchronization unit 1070 are transmitted to the demodulation units 1030 and the channel decoding units 1040. Accordingly, the demodulation units 1030 and the channel decoding units 1040 maintain the same system clock and frequency phase when the error correction and modulation coding is performed by the apparatus 600 to perform the error correction and demodulation decoding. Figure 11 is a detailed block diagram of each of the channel decoding units 1040 illustrated in Figure 10. Each of the channel decoding unit 1040 includes a sorting unit 1110, first and second decoding units of convolution 1121 and 1122, first and second series-to-parallel (S / P) converters 1131 and 1132, a bit separation unit 1140. Sorting unit 1110 classifies a payload of a transmission packet into data of each group and provides the data of each group to the first and second convolution decoding units 1121 and 1122.

The first convolution decoding unit 1121 performs the convolution decoding in coded data of a first group, which is relatively more significant, using the first coding rate. The first coding rate is less than the second coding rate applied to the decoding performed by the second convolution decoding unit 1122. Because of this differential decoding, relatively more significant bits are more likely to be restored than relatively less bits. significant Even if the restoration of relatively less significant bits fails, it does not greatly affect the quality of restored content. The data decoded by the first convolution decoding unit 1121 is provided to the first S / P converter 1131. The first S / P converter 1131 converts the decoded serial data into data in parallel. Similarly, the decoded data of a second group, which was sorted by the sorting unit 1110, are provided to the bit separation unit 1140 via the second convolution decoding unit 1122 and the second S / P converter 1132 The bit separation unit 1140 temporarily stores the data in parallel received from the first S / P converter 1131 and the second S / P converter 1132 and produces bits Bit a Bitm_? for each bit level in a synchronized manner. The uncompressed video data has been used before as an example of AV data. However, it can be fully understood by those of ordinary skill in the art that the same transmission / reception method can be applied to uncompressed audio data such as a wave file.

Industrial Applicability As described above, apparatuses and methods for transmitting and receiving uncompressed AV data by applying a different coding rate to each bit or each group of bits included in the uncompressed AV data according to the importance of each bit or each group of bits when uncompressed AV data is transmitted and received over a wireless network. Therefore, the stability and efficiency of the data transmission can be improved. While the present invention has particularly been shown and described with reference to certain exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and detail can be made herein without departing from the spirit and scope of the present invention as defined by the following claims. Exemplary modalities should be considered in a descriptive sense only and not for purposes of limitation. It is noted that in relation to this date, the best method known to the applicant to carry out the aforementioned invention, is that which is clear from the present description of the invention.

Claims (34)

CLAIMS Having described the invention as above, the contents of the following claims are claimed as property:

1. Apparatus for transmitting uncompressed audio and video (AV) data, characterized in that it comprises: a grouping unit which classifies the bits of each pixel included in the uncompressed AV data in at least two groups of bits according to an importance of the bits, a coding unit which performs error correction coding in each of at least two groups using a different coding rate; and a radio frequency (RF) processing unit which transmits the uncompressed encoded AV data, which includes the pixels in which the error correction coding was performed, using a communication channel. Apparatus according to claim 1, characterized in that the importance of the bits is determined based on the bit levels of the bits. Apparatus according to claim 1, characterized in that the error correction coding comprises at least one of convolution coding and block coding. 4. Apparatus according to claim 3, characterized in that, if the error correction coding is the convolution coding, a different coding rate is generated for each of at least two groups of bits by removing a different number of bits from each other. a plurality of bits included in each of at least two groups. Apparatus according to claim 3, characterized in that, if the error correction coding is block coding, a different coding rate is generated for each of at least two groups of bits by setting a different byte size of parity for each of the two groups. Apparatus according to claim 1, characterized in that it additionally comprises a coding rate determination unit which determines the coding rate with reference to a number of groups. Apparatus according to claim 6, characterized in that, if the error correction coding is the convolution coding and if there are two groups of bits, the coding rate determination unit determines that a coding rate of any one of the two groups are more significant than 4/3 and the coding speed of either group is less significant than 4/5. Apparatus according to claim 1, characterized in that it additionally comprises: a system clock generation unit which generates a system clock used for the error correction coding, and a frequency generating unit which generates a frequency used for the error correction and modulation coding that is performed to transmit the uncompressed encoded AV data. Apparatus according to claim 8, characterized in that an apparatus for receiving the uncompressed AV data performs decoding of error correction and demodulation, which is a reverse process of modulation, maintaining the system clock and a frequency phase. . Apparatus according to claim 1, characterized in that the communication channel comprises a 60 GHz communication channel. 11. Apparatus for receiving non-compressed audio or video (AV) data, characterized in that it comprises: radiofrequency (RF) which receives, through a communication channel, uncompressed AV data comprising pixels that include bits which were classified into at least two groups of bits according to an importance of the bits, wherein each one of at least two groups has a different coding speed; a decoding unit which performs different error correction decoding in each of at least two groups using the coding rate; and a bit combining unit which combines at least two groups in which the error correction decoding was performed and generates decoded non-compressed AV data. Apparatus according to claim 11, characterized in that the importance of the bits is determined based on the bit levels of the bits. 13. Apparatus in accordance with the claim 11, characterized in that the error correction decoding comprises at least one of convolution decoding and block decoding. 14. Apparatus according to claim 11, characterized in that the bit combination unit combines the bits included in at least two groups, in which the error correction decoding was performed, according to the bit levels and generates data. Uncompressed AV decoded. Apparatus according to claim 11, characterized in that it additionally comprises a synchronization unit which generates a system clock and a frequency with reference to the information included in the uncompressed AV data. 16. Apparatus in accordance with the claim 15, characterized in that the decoding unit performs the error correction decoding keeping the system clock generated and one phase of the frequency. 17. Apparatus according to claim 11, characterized in that the communication channel comprises a 60 GHz communication channel. 18. Method for transmitting uncompressed audio or video (AV) data, characterized in that it comprises: classifying the bits of each pixel included in the uncompressed AV data in at least two groups of bits according to an importance of the bits; performing the error correction coding in each of at least two groups using a different coding rate; and transmitting the encoded uncompressed AV data, which includes the pixels in which the error correction coding was performed, using a communication channel. Method according to claim 18, characterized in that the importance of the bits is determined based on the bit levels of the bits. Method according to claim 18, characterized in that the error correction coding comprises at least one of convolution coding and block coding. 21. Method according to claim 20, characterized in that, if the error correction coding is the convolution coding, a different coding rate is generated for each of at least two groups of bits by removing a different number of bits from each other. a plurality of bits included in each of at least two groups. Method according to claim 20, characterized in that, if the error correction coding is block coding, a different coding rate is generated for each of at least two groups of bits by setting a different byte size of parity for each of the two groups. 23. Method according to claim 18, characterized in that it comprises determining the coding rate with reference to a number of groups. Method according to claim 23, characterized in that, if the error correction coding is the convolution coding and if there are two groups of bits, the coding rate determination comprises determining a coding rate of either of the two. groups to be more significant than 4/3 and determine the coding speed of either group to be less significant than 4/5. 25. Method according to claim 18, characterized in that it additionally comprises: generating a system clock used for the error correction coding; and generating a frequency used for the error correction and modulation coding that is performed to transmit the uncompressed encoded AV data. Method according to claim 25, characterized in that an apparatus for receiving the non-compressed AV data performs decoding of error correction and demodulation, which is a reverse process of modulation, maintaining the system clock and a frequency phase . 27. Method according to claim 18, characterized in that the communication channel comprises a 60 GHz communication channel. 28. Method for receiving non-compressed audio or video (AV) data, characterized in that it comprises: receiving, through a communication channel, the AV data not compresses comprised of pixels which include bits that were classified into at least two groups of bits according to an importance of the bits and to each group of which a different coding rate was applied; performing different error correction decoding in each of at least two groups using the different coding rate; and combining at least two groups in which the error correction decoding was performed and generating decoded non-compressed AV data. 29. Method according to claim 28, characterized in that the importance of the bits is determined based on the bit levels of the bits. 30. Method according to claim 28, characterized in that the error correction decoding comprises at least one of convolution decoding and block decoding. Method according to claim 28, characterized in that the combination of at least two groups and generation of the decoded uncompressed data comprises combining the bits included in at least two groups, in which the error correction decoding was performed, according to the bit levels and generate the uncompressed AV data decoded. 3

2. Method according to claim 28, characterized in that it additionally comprises a system clock and a frequency with reference to the information included in the non-compressed AV data. Method according to claim 32, characterized in that performing the different error correction decoding comprises performing the error correction decoding keeping the system clock generated and one phase of the frequency. 34. Method according to claim 28, characterized in that the communication channel comprises a communication channel of 60 GHz.