KR20070111296A - Method and apparatus for transmitting/receiving uncompressed av data - Google Patents

Abstract

A method and an apparatus for transceiving uncompressed AV(Audio Video) data are provided to apply individual error correction encoding by considering priority of data according to each bit position when uncompressed AV data is transmitted or received, thereby improving a transmission rate of uncompressed AV data. A method for transceiving uncompressed AV(Audio Video) data comprises the following steps of: classifying bits for constructing uncompressed AV data into a plurality of groups according to priority; determining an encoding rate according to the classified groups; applying error correction encoding corresponding to the determined encoding rate; and transmitting the groups to which the error correction encoding is applied. The priority corresponds to a bit level at which the bits are located.

Description

Method and apparatus for transmitting / receiving uncompressed AV data

1 is a diagram comparing frequency bands between the IEEE 802.11 family of standards and mmWave.

2 is a diagram illustrating one pixel component at a plurality of bit levels.

3 is a diagram illustrating a structure of a PPDU of the IEEE 802.11a standard.

4 is a diagram illustrating an error correction encoding technique according to the prior art.

5 is a diagram illustrating an error correction coding scheme according to an embodiment of the present invention.

6 is a block diagram showing the configuration of a transmission device for transmitting uncompressed AV data according to an embodiment of the present invention.

7 is a block diagram showing the configuration of a channel coding unit in more detail.

8 is a block diagram illustrating a configuration of a convolutional coding unit having a coding rate of 1/3.

9 shows an example of a drilling process.

10 is a diagram illustrating a configuration of a transport packet according to an embodiment of the present invention.

11 illustrates a configuration of a PHY header according to an embodiment of the present invention.

12 is a block diagram showing a configuration of a receiving device for receiving uncompressed AV data according to an embodiment of the present invention.

13 is a block diagram showing the configuration of a channel decoding unit in more detail.

TECHNICAL FIELD The present invention relates to wireless communication technology, and more particularly, to a differential encoding technique of uncompressed audio / video data.

Networks are becoming wireless and researches on effective transmission methods in wireless network environments have been required due to the increasing demand for large-capacity multimedia data transmission. In addition, there is a growing need to wirelessly transfer high-quality video such as digital video disk (DVD) video and high definition television (HDTV) video between various home devices.

Currently, a task group of IEEE 802.15.3c is pushing a technical standard for transmitting a large amount of data in a wireless home network. This standard, called mmWave (Millimeter Wave), uses radio waves with a physical wavelength of millimeters (i.e., radio waves with frequencies of 30 GHz to 300 GHz) for large data transmission. In the past, such a frequency band has been used as an unlicensed band for a limited number of purposes, such as for telecommunication carriers, radio astronomy, or vehicle collision prevention.

1 is a diagram comparing frequency bands between the IEEE 802.11 series standard and mmWave. IEEE 802.11b and IEEE 802.11g have a carrier frequency of 2.4 GHz and a channel bandwidth of about 20 MHz. In addition, IEEE 802.11a and IEEE 802.11n have a carrier frequency of 5 GHz and a channel bandwidth of about 20 MHz. In contrast, mmWave uses a carrier frequency of 60 GHz and has a channel bandwidth of approximately 0.5 to 2.5 GHz. Therefore, mmWave has a much larger carrier frequency and channel bandwidth than the existing IEEE 802.11 standard. As such, when a high frequency signal (millimeter wave) having a wavelength in millimeters is used, a very high transmission rate in the order of several gigabytes (Gbps) can be represented, and the antenna size can be 1.5 mm or less, so that a single chip including an antenna is used. Can be implemented. In addition, since the attenuation ratio in the air (attenuation ratio) is very high, there is an advantage that can reduce the interference between devices.

In particular, recent researches have been conducted to transmit uncompressed audio or video data (hereinafter, referred to as uncompressed AV data) between wireless devices using the high bandwidth of the millimeter wave. The compressed AV data is loss-compressed in such a manner as to remove portions less sensitive to human vision and hearing through processes such as motion compensation, DCT transform, quantization, variable length coding, and the like. On the other hand, uncompressed AV data includes digital values (eg, R, G, and B components) representing pixel components as they are.

Therefore, the bits included in the compressed AV data do not have a superiority for importance, but the bits included in the uncompressed AV data have a superiority. For example, as illustrated in FIG. 2, in the case of an 8-bit image, one pixel component is represented by 8 bits, among which the bit representing the highest order (the highest level bit) is the most significant bit (Most Significant). Bit (MSB), and the bit that represents the lowest order (lowest level bit) is the least significant bit (LSB). In other words, each bit of 8-byte 1-byte data has a different importance in recovering a video signal or an audio signal. If an error occurs on a bit that is of high importance during transmission, an error can be detected more easily when an error occurs on a bit that is not important. Therefore, bit data of high importance needs to be protected from errors in wireless transmission, compared to bit data of low importance. However, as in the conventional transmission scheme of the IEEE 802.11 series, an error correction scheme having the same coding rate is used for all bits to be transmitted.

FIG. 3 is a diagram illustrating a structure of a PHY Protocol Data Unit (PPDU) according to the IEEE 802.11a standard. The PPDU 30 is composed of a preamble, a signal field, and a data field. The preamble is a signal for synchronization and channel estimation of the PHY layer, and consists of a plurality of short training signals and a long training signal. The signal field includes a RATE field indicating a transmission rate, a LENGTH field indicating a length of a PHY Protocol Data Unit (PPDU), and the like. In general, a signal field is encoded by one symbol. The data field is composed of PSDU, tail bits, and pad bits. The data to be transmitted is included in the PSDU portion.

The data recorded in the PSDU is composed of codes encoded by a convolution encoder. Since the data have no difference in importance and are encoded by the same error correction encoding, each part of the data is corrected by the same error. Have the ability.

Such a conventional method can be said to be effective in general data transmission. However, if the importance of data to be transmitted differs, it is necessary to perform better error correction coding on more important bits to reduce the possibility of error.

In order to suppress the occurrence of an error, the transmitting side performs an error correction encoding step. The error-corrected coded data can be restored for an error within a certain range that can be corrected even if an error occurs during transmission. Such error correction coding techniques exist in various ways and have different error correction capabilities according to each error correction coding algorithm, and even the same error correction coding algorithm shows different performances depending on which coding rate is used.

In general, the higher the coding rate, the higher the data transmission efficiency, but the error correction capability tends to be lower, and the lower the coding rate, the lower the data transmission efficiency, the higher the error correction capability tends to be higher. However, as described above, the uncompressed AV data has a different importance for each bit constituting the data, unlike the compressed AV data, so that an error does not occur in transmission of higher-level bits of higher importance. There is a need.

In general, there are a method of ensuring stable transmission of data during wireless transmission, and a method of restoring data by using error correction encoding, and a method of retransmitting data once an error occurs from a transmitting side to a receiving side. In particular, the present invention relates to a technique for applying differential error correction coding according to the importance of bits constituting the data in uncompressed AV data transmission.

SUMMARY OF THE INVENTION The present invention has been made in an effort to provide a more efficient error correction encoding method and apparatus for ensuring stable transmission of uncompressed AV data.

Another object of the present invention is to provide a specific packet structure of the retransmitted data.

Other technical problems to be achieved by the present invention, the technical problems of the present invention is not limited to the above-mentioned technical problems, and other technical problems that are not mentioned will be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a method of transmitting uncompressed AV data, the method comprising: classifying the bits into a plurality of groups according to importance of bits constituting the uncompressed AV data; Determining a coding rate for each of the classified plurality of groups; Applying error correction encoding to each group at the determined coding rate; And transmitting the groups to which the error correction encoding is applied.

According to an aspect of the present invention, there is provided a method of receiving uncompressed AV data, the method comprising: receiving uncompressed AV data to which error correction encoding is applied at a different coding rate for each group; Determining a coding rate corresponding to each of the groups; Applying error correction decoding to each group according to the determined coding rate; And restoring uncompressed AV data by combining the groups to which the error correction decoding has been applied.

In order to achieve the above technical problem, an apparatus for transmitting uncompressed AV data includes: a unit for classifying the bits into a plurality of groups according to importance of bits constituting the uncompressed AV data; A unit for determining a coding rate for each of the classified plurality of groups; A unit for applying error correction encoding to each group at the determined coding rate; And a unit for transmitting the groups to which the error correction encoding is applied.

In order to achieve the above technical problem, an apparatus for receiving uncompressed AV data includes: a unit for receiving uncompressed AV data to which error correction coding is applied at different coding rates for each group; A unit for determining a coding rate corresponding to each of the groups; A unit for applying error correction decoding to each group according to the determined coding rate; And a unit for restoring uncompressed AV data by combining the groups to which the error correction decoding has been applied.

Advantages and features of the present invention and methods for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in various forms, and only the present embodiments are intended to complete the disclosure of the present invention, and the general knowledge in the art to which the present invention pertains. It is provided to fully convey the scope of the invention to those skilled in the art, and the present invention is defined only by the scope of the claims. Like reference numerals refer to like elements throughout.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

4 is a diagram illustrating an error correction encoding scheme according to the prior art, and FIG. 5 is a diagram illustrating an error correction encoding scheme according to an embodiment of the present invention.

Since the compressed AV data is generated through processes for improving the compression rate, such as quantization and entropy encoding, there is no difference between superiority and importance in bits constituting the data. Therefore, as shown in Fig. 4, conventional compressed AV data is usually subjected to error correction coding according to a fixed coding rate. Even if error correcting coding having a variable coding rate is applied to the conventional compressed AV data, this is only due to external conditions such as a communication environment, but not according to the importance of each data bit.

However, the uncompressed AV data differs in importance according to each bit level, as described above in FIG. Therefore, as shown in FIG. 5, a plurality of bit levels are classified into several groups, and error correction encoding is performed on the classified groups at different coding rates. The coding rate is applied to a lower coding rate to bits belonging to a group of relatively high importance. The present invention is intended to improve the transmission efficiency of uncompressed AV data by applying the differential coding rate according to the importance of the data.

6 is a block diagram showing the configuration of a transmission device 100 for transmitting uncompressed AV data according to an embodiment of the present invention. The transmission device 100 may include a storage unit 110, a bit separator 120, a channel coding unit 150, a header adder 160, and an RF (170) unit 170. .

The storage unit 110 stores uncompressed AV data. When the AV data is video data, sub-pixel values for each pixel are stored. The subpixel values may be stored in various values according to the color space (eg, RGB color space, YCbCr color space, etc.) used, but in the present invention, each pixel may be R (Red), G (Green) according to the RGB color space. ) And B (Blue) will be described as consisting of three subpixels. Of course, when the video data is a gray image, since only one subpixel component exists, one subpixel may form pixels as it is, and two or four subpixel components may form one pixel.

The bit separator 120 separates the subpixel values provided from the storage 110 from bits of high order (high bit level) to bits of low order (low bit level). For example, in the case of 8-bit video, since the order exists from 2 ⁷ to 2 ⁰ , it can be separated into a total of 8 bits. In Fig. 6, m represents the number of bits of the pixel, and Bit _m-1 represents the bits of the order of m-1. As such, the bit separation process is performed independently for each subpixel.

The channel coding unit 150 generates error payload by performing error correction encoding on the separated bits at an appropriate coding rate according to their importance.

Such error correction coding includes block coding and convolutional coding. In block coding (eg, Reed-Solomon coding), data is encoded and decoded in predetermined block units, and convolutional coding uses a predetermined length of memory. It is a technique that performs encoding by comparing previous data with current data. Fundamentally, block coding is known to be robust against burst errors, and convolutional coding is known to be resistant to random errors.

In general, error correction encoding is performed by converting an input k-bit into an n-bit codeword. At this time, the coding rate is expressed as "k / n". The lower the coding rate, the greater the probability of error correction because it is coded with a larger bit codeword than the input bit.

7 is a block diagram illustrating in detail the configuration of the channel coding unit 150. The channel coding unit 150 includes a classifier 151, a plurality of P / S converters 152 and 153, a plurality of convolutional encoders 154 and 155, a plurality of perforation units 156 and 157, and , A merge unit 158 may be configured.

The classifier 151 classifies the bits of each bit level into a predetermined number of groups. For example, as shown in FIG. 5, two, three, and three bit levels may be classified into three groups in order from the highest bit level among the eight bit levels. The groups classified as described above become units to which different coding rates are applied. Alternatively, it may be simply classified into two groups consisting of four upper bit levels and four lower bit levels. Such a classification method may be variously determined according to the nature of the uncompressed AV data to be transmitted, the transmission network environment, and the like.

For example, when transmitting to a large display device, the ratio of the coding rate between the group of the upper bit level and the group of the lower bit level is 4: 4 bit so that the emphasis can be placed on a relatively improved image representation. With respect to a device using, the ratio of coding rates between the groups may be focused on improving the reconstruction capability of a group of higher bit levels by setting a ratio of 2: 6 or 3: 5.

Hereinafter, as an example, the classifying unit 151 classifies the raw data into groups including four upper bit levels and groups including four lower bit levels.

The bits of the upper bit level classified by the classifying unit 151 are input to the P / S converter 152, and the bits of the lower bit level are input to the P / S converter 153.

Parallel / Serial (P / S) converter converts the parallel data of the upper four bit levels into serial data for error correction encoding.

The convolutional encoder 154 performs error correction encoding on the serialized data at a first coding rate. Such error correction coding includes block coding, convolutional coding, and the like. In the present invention, convolutional coding is used as an example. The first code rate is a smaller value than the second code rate applied to the lower four bit levels. For example, the first code rate may be 1/3 and the second code rate may be 2/3.

8 is a block diagram illustrating a configuration of a convolutional encoder 154 having a coding rate of 1/3.

The convolutional encoder 154 includes three adders 81, 82, 83, and six registers 84, 85, 86, 87, 88, 89. Here, the coefficients of the product polynomial used are 133, 171 and 145, respectively. The plurality of registers are required in the convolution encoder 154 as described above because the convolution encoding algorithm performs encoding by comparing the previous data with the current data. In general, the sum of the number of registers and the number of original data inputs, i.e., the number of registers plus one, is called the constraint length. As a result, raw data is input to the convolutional encoder 154, and the encoded data x, y and z are output.

The puncturing unit 156 punctures some data of the error correction coded data. The puncturing process is a process of removing some bits in order to increase the data rate of the data encoded by the convolutional encoder 154. This means not sending some bits. This puncturing process results in higher data rates than otherwise, but more data can be transmitted.

9, original data is converted into codewords three times as large as the original data by convolutional coding at 1/3 coding rate. The puncturing unit 156 may periodically convert a coding rate to 2/3 by periodically deleting some bits. Bits shaded in FIG. 9 mean punctured bits. Even if only the convolutional encoder 154 can directly adjust the first coding rate, the puncturing process may be omitted.

Table 1 below shows free distances and puncturing patterns according to various coding rates. One of the puncturing patterns means that the corresponding bit is transmitted, and 0 means that it is deleted without transmission.

Coding rate Free street Perforated pattern Transfer order 1/3 15 X: 1 Y: 1 Z: 1 X1 Y1 Z1 X2 Y2 Z2 4/7 7 X: 1 1 1 1 Y: 1 0 1 1 Z: 0 0 0 0 X1 Y1 X2 X3 Y3 X4 Y4 2/3 6 X: 1 1 Y: 1 0 Z: 0 0 X1 Y1 X2 X3 Y3 4/5 4 X: 1 1 1 1 Y: 1 0 0 0 Z: 0 0 0 0 X1 Y1 X2 X3 X4

At a coding rate of 1/3 of the coding rates shown in Table 1, since there is no 0 in the puncturing pattern, it is not necessary to perform the puncturing process. The free distance is a code rate dependent value, and a larger value has a higher error correction capability. From Table 1, it can be seen that the free distance decreases as the coding rate increases.

Meanwhile, the bits of the lower bit level provided from the classifying unit 151 also have the P / S converter 153, the convolutional coding unit 155, and the puncturing unit 157, similarly to the bits of the upper bit level. It is encoded at the second coding rate through.

Finally, the merger 158 merges the encoded upper bit level data (coded data of group 1) and lower bit level data (coded data of group 2), respectively, to payload, that is, MPDU (MAC). Protocol Data Unit).

As shown in FIG. 10, the header adding unit 160 includes a MAC header 73, a PHY header 72, and a preamble 71 in an MPDU (MAC Protocol Data Unit) 79 including a plurality of groups 74 and 75. ) To generate a transport packet 70 according to one embodiment of the invention. The preamble 71 is a signal for synchronization and channel estimation of the PHY layer (physical layer), and consists of a plurality of short training signals and long training signals.

Since the present invention uses a data rate of 3Gbps or more for transmitting uncompressed AV data, the PHY header 72 needs to be somewhat different from the PHY header of FIG. In this sense, the PHY header 72 may be referred to as a high rate PHY (HRP) header.

As shown in FIG. 11, the PHY header 72 includes an HRP mode index field 72a, an MPDU length field 72b, a beam tracking field 72c, an error protection field 72d, a UEP offset field 72e, and a reserved field ( 72f).

The HRP mode index field 72a indicates a coding rate, a modulation scheme, etc. used for the MPDU 79. In one embodiment of the present invention, the mode index (mode index), as shown in Table 2, it can be defined that can have a value from 0 to 6.

HRP mode index Encoding mode Modulation method Coding rate Raw data rate (Gb / s) High bit level Low bit level [7] [6] [5] [4] [3] [2] [1] [0] 0 EEP QPSK 1/3 0.97 One QPSK 2/3 1.94 2 16-QAM 2/3 3.88 3 UEP QPSK 4/7 4/5 1.94 4 16-QAM 4/7 4/5 3.88 5 re-send QPSK 1/3 infinite 0.97 6 16-QAM 1/3 infinite 1.94

Referring to Table 2, EEP (Equal Error Protection) is applied when the HRP mode index is 0 to 2, and UEP is applied when the HRP mode index is 0 to 2. If the HRP mode index is 3, QPSK is applied as a modulation method, and if 4, 16-QAM is applied. In this case, a coding rate of 4/5 is relatively low for the upper bit level, and 4/5 is relatively high for the lower bit level. However, even in this case, since the average coding rate for the entire bit level is 2/3, it can be seen that the size of data to be transmitted is the same as the case where the HRP mode indexes are 1 and 2.

Meanwhile, when the HRP mode indexes are 5 and 6, a transmission error occurs and retransmission is performed. In this retransmission, only the upper bit level of relatively high importance is retransmitted at a coding rate of 1/3, and the lower bit level of relatively low importance is not transmitted (the encoding rate is infinite).

Referring back to FIG. 11, the MPDU length field 72b indicates the size of the MPDU 79 in octet units.

The beam tracking field 72c is a 1-bit field, and is represented as 1 when beam tracking information is included in the transport packet and 0 otherwise. Since a millimeter wave supporting a transmission rate of several gigabytes (Gbps) has a high linearity of a signal, a directional array antenna may be used for the transmission device 100. In this case, beam tracking for finding the optimal directionality of the antenna is required, and the transmitting device 100 may need to transmit information about the antenna to the receiving device. The beam tracking field 72c indicates whether such information is included.

The error protection field 72d indicates whether EEP or UEP is applied to the bits included in the MPDU 79.

The UEP offset field 72e indicates the number of the symbol at which UEP coding starts when counting from the first symbol after the MAC header 73.

Meanwhile, the MAC header 73 is used for MAC media access control as in the IEEE 802.11 series standard or the IEEE 802.3 standard, and the MAC address, ACK policy, and fragment information of the transmitter and the receiver are used. Is recorded.

The RF unit 170 modulates the transmission packet provided by the header attaching unit 160 and transmits it through the antenna. Examples of specific modulation schemes include VSB8, VSB16, QPSK, 16-QAM, 32-QAM, and 64-QAM.

12 is a block diagram showing the configuration of a receiving device 200 for receiving uncompressed AV data according to an embodiment of the present invention. The receiving device 200 may include an RF unit 210, a header reader 220, a channel decoder 230, a bit combination unit 260, and a playback unit 270.

The RF unit 210 demodulates the received radio signal and restores the transport packet. The demodulation is performed in reverse in response to the modulation in the RF unit 170 of FIG. 6.

The header reading unit 220 reads the PHY header and the MAC header added by the header adding unit 160 of FIG. 6, and provides the channel decoding unit 230 with the payload from which the headers are removed.

The channel decoder 230 performs error correction decoding on each group of data 74 and 75 encoded at different code rates at the corresponding code rate. This error correction decoding is a reverse process of error correction coding in the channel coding unit 150, and is performed by restoring k-bit original data from n-bit codewords. The channel decoder 230 checks the HRP mode index field 72a of the PHY header 73 to know the coding rate applied to the encoded data. Referring to the value of this field, as shown in Table 2, the coding rate promised in advance for the data 74 and 75 of each group can be known.

13 is a block diagram showing the configuration of the channel decoding unit 230 in more detail. The channel decoder 230 includes a classifier 231, a plurality of convolutional decoders 232 and 233, a plurality of S / P converters 234 and 235, and a bit separator 236. Can be.

The classifier 231 classifies the payload of the transport packet into data of each group and provides the same to the plurality of convolutional decoders 232 and 233.

The convolutional decoder 232 performs convolutional decoding on the first group of encoded data having a relatively high importance at a first coding rate. The first code rate is smaller than the second code rate applied by the convolutional decoder 233 to decode. Such differential coding increases the possibility of reconstruction of bits of relatively high importance compared to bits of relatively low importance. Even if the bit of low importance does not restore, the impact on the quality of the restored content is not significant.

The data decoded by the convolutional decoder 232 is provided to the S / P (Serial / Parallel) converter 234. S / P converter 234 converts the decoded serial data into parallel data.

Meanwhile, the second group of encoded data classified by the classifier 231 is similarly provided to the bit separator 236 via the convolutional decoder 233 and the S / P converter 235.

The bit separator 236 temporarily stores the parallel data provided from the S / P converter 234 and the S / P converter 235, and synchronizes the bits for each bit level Bit ₀ to Bit _{m-1 in} synchronization. Output as.

Referring back to FIG. 12, a bit assembler 250 combines the output bits for each bit level (from the highest level to the lowest level) to restore each subpixel component. Each subpixel component (eg, R, G, and B components) restored by the bit combination unit 250 is provided to the reproduction unit 260.

The playback unit 260 collects each subpixel component, that is, pixel data, and when one video frame is completed, matches the video frame to a reproduction ray signal (CRT), a liquid crystal display (LCD), a PDP ( It is displayed on a display device (not shown) such as a Plasma Display Panel.

Although uncompressed video data has been taken as an example of AV data, it will be understood by those skilled in the art that the same method can be applied to uncompressed audio data such as a wave file.

Until now, each of the components of FIGS. 6, 7, 12, and 13 is a software such as a task, a class, a subroutine, a process, an object, an execution thread, a program performed in a predetermined area on a memory, or an FPGA ( It may be implemented in hardware such as a field-programmable gate array (ASC) or an application-specific integrated circuit (ASIC), or may be a combination of software and hardware. The components may be included in a computer readable storage medium or a part of the components may be distributed and distributed among a plurality of computers.

Although embodiments of the present invention have been described above with reference to the accompanying drawings, those skilled in the art to which the present invention pertains may implement the present invention in other specific forms without changing the technical spirit or essential features thereof. I can understand that. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive.

According to the present invention, when transmitting and receiving uncompressed AV data, transmission efficiency of the uncompressed AV data can be improved by applying individual error correction coding in consideration of the importance of data according to each bit position.

Claims (28)

Classifying the bits into a plurality of groups according to importance of bits constituting uncompressed AV data; Determining a coding rate for each of the classified plurality of groups; Applying error correction encoding to each group at the determined coding rate; And Transmitting the groups to which the error correction encoding has been applied. The method of claim 1, wherein the importance is And based on the bit level at which the bits are located. The method of claim 1, wherein the error correction encoding is A method for transmitting uncompressed AV data that is convolutional coding. The method of claim 3, And adjusting a coding rate by deleting some bits of the groups to which the error correction coding has been applied. The method of claim 1, The number of the plurality of groups is 2, wherein the coding rate of the first group having the highest importance is determined to be 4/7, and the coding rate of the second group having the low importance is determined to be 4/5. How to transfer. The method of claim 1, And transmitting the information indicative of the determined coding rate. Receiving uncompressed AV data to which error correction coding is applied at different coding rates for each group; Determining a coding rate corresponding to each of the groups; Applying error correction decoding to each group according to the determined coding rate; And Restoring uncompressed AV data by combining the groups to which the error correction decoding has been applied. The method of claim 7, wherein A relatively high importance group among the groups receives uncompressed AV data to which an error correction code is applied at a lower coding rate. The method of claim 8, wherein the importance is And receiving uncompressed AV data based on a bit level at which bits included in the group are located. The method of claim 7, wherein Receiving information indicating the coding rate; And determining the coding rate is based on the information. The method of claim 10, And the information is included in a physical header of the uncompressed AV data to which the error correction coding is applied. The method of claim 7, wherein the error correction decoding is A method for receiving uncompressed AV data, which is convolutional decoding. The method of claim 7, wherein the restoring step Combining bits included in the groups to which the error correction decoding has been applied, in bit level order. The method of claim 13, And the combined bits are one of a plurality of subpixel values constituting a pixel. A unit for classifying the bits into a plurality of groups according to the importance of the bits constituting the uncompressed AV data; A unit for determining a coding rate for each of the classified plurality of groups; A unit for applying error correction encoding to each group at the determined coding rate; And And a unit for transmitting the groups to which the error correction coding has been applied. The method of claim 15, wherein the importance is And transmit uncompressed AV data based on the bit level at which the bits are located. The method of claim 15, wherein the error correction encoding is An apparatus for transmitting uncompressed AV data, which is convolutional coding. The method of claim 17, And adjusting a coding rate by deleting some bits of the groups to which the error correction coding is applied. The method of claim 15, The number of the plurality of groups is 2, wherein the coding rate of the first group having the highest importance is determined to be 4/7, and the coding rate of the second group having the low importance is determined to be 4/5. Device for transmitting it. The method of claim 15, wherein the transmitting unit And further transmit information representing the determined coding rate. A unit for receiving uncompressed AV data to which error correction coding is applied at different coding rates for each group; A unit for determining a coding rate corresponding to each of the groups; A unit for applying error correction decoding to each group according to the determined coding rate; And And a unit for restoring uncompressed AV data by combining the groups to which the error correction decoding has been applied. The method of claim 21, A relatively high importance group among the groups is a device for receiving uncompressed AV data to which the error correction code is applied at a lower coding rate. The method of claim 22, wherein the importance is And receive uncompressed AV data based on a bit level at which bits included in the group are located. The method of claim 21, The receiving unit further receives information indicating a coding rate, And the determining unit determines the coding rate based on the information. The method of claim 24, And the information is included in a physical (PHY) header of the uncompressed AV data to which the error correction coding is applied. The method of claim 21, wherein the error correction decoding is An apparatus for receiving uncompressed AV data that is convolutional decoding. The method of claim 21 wherein the restoring unit is And combining the bits included in the groups to which the error correction decoding has been applied in bit level order. The method of claim 27, And the combined bits are one of a plurality of subpixel values constituting a pixel.

Images