CN105791202A - Synchronization data generation and analysis method for voice band compression system - Google Patents
Synchronization data generation and analysis method for voice band compression system Download PDFInfo
- Publication number
- CN105791202A CN105791202A CN201610184616.8A CN201610184616A CN105791202A CN 105791202 A CN105791202 A CN 105791202A CN 201610184616 A CN201610184616 A CN 201610184616A CN 105791202 A CN105791202 A CN 105791202A
- Authority
- CN
- China
- Prior art keywords
- symbolization
- data
- correlation
- voice band
- relevant peaks
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W56/00—Synchronisation arrangements
- H04W56/001—Synchronization between nodes
- H04W56/002—Mutual synchronization
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2647—Arrangements specific to the receiver only
- H04L27/2655—Synchronisation arrangements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2647—Arrangements specific to the receiver only
- H04L27/2655—Synchronisation arrangements
- H04L27/2662—Symbol synchronisation
- H04L27/2665—Fine synchronisation, e.g. by positioning the FFT window
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2647—Arrangements specific to the receiver only
- H04L27/2655—Synchronisation arrangements
- H04L27/2668—Details of algorithms
- H04L27/2669—Details of algorithms characterised by the domain of operation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/1066—Session management
- H04L65/1069—Session establishment or de-establishment
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/40—Support for services or applications
- H04L65/401—Support for services or applications wherein the services involve a main real-time session and one or more additional parallel real-time or time sensitive sessions, e.g. white board sharing or spawning of a subconference
Abstract
The invention relates to a synchronization data generation and analysis method for a voice band compression system. The method comprises that a pseudo random synchronization sequence is obtained; the pseudo random synchronization sequence is inserted into modulation data to obtain a transmission data flow, and the modulation data comprises non voice data; the voice band compression system compresses the audio frequency band of the transmission data flow to obtain a compressed transmission data flow, and the compressed transmission data flow is sent a second client via mobile communication network. The method also comprises that the compressed transmission data flow from a first client is received via the mobile communication network, and decompressed audio data is inserted to the tail of a transmission data flow to be analyzed; and synchronization analysis is carried out on the transmission data flow to be analyzed to obtain a synchronization position; and the non voice data is demodulated via the synchronization position. According to the method of the invention, the precision of the synchronization position of the data synchronization sequence can be ensured, the operand of the synchronization sequence analysis method can be reduced substantially, and the method is suitable for more types of processor platforms.
Description
Technical field
The present invention relates to moving communicating field, particularly relate to a kind of synchrodata for voice band compressibility and generate and analytic method.
Background technology
Voice call includes circuit domain transmission channel and packet domain transmission channel.The normal method of circuit domain transmission channel includes landline telephone and mobile phone etc.；The mode that packet domain transmission means is then chatted for the voice-over-net come into vogue nearly ten years.Circuit domain transmission channel is still the voice call transmission channel of present stage main flow, the transferring non-speech data reliable, efficient at circuit domain voice channel, must be introduced into data syn-chronization, it is ensured that communicating pair in data after voice band compression/decompression compression system, it is possible to accomplish alignment of data.Synchronizing sequence in directly being transmitted by block domain data introduces the voice channel of circuit domain and there will be a problem, it is exactly that this synchronizing sequence does not possess speech audio feature, band compression system linearity predictive filter cannot be penetrated, it is impossible to accomplish the accurate synchronization of both-end, it does not have practical value.
Summary of the invention
The technical problem to be solved is to provide a kind of synchrodata for voice band compressibility and compresses and analytic method.
The technical scheme is that a kind of synchrodata for voice band compressibility generates method, described method includes:
Step S1, obtains pseudorandom synchronizing sequence；
Step S2, is inserted into described pseudorandom synchronizing sequence in modulation data and obtains transmitting data stream, and described modulation data include non-speech data；
Step S3, carries out audio band compression by described transmitting data stream by voice band compressibility and obtains compressed transmission data stream, and be sent to the second client by mobile communications network.
Beneficial effects of the present invention: the tone signal that AFSS sequence is all differed by the frequency in a series of sound frequency ranges, amplitude, initial phase is formed by stacking, takes full advantage of the characteristic that all kinds of mobile voice band compression system all can better transmit the tone signal of gene frequency range；AFSS shows as zero crossing in time domain to be increased gradually, can cover again whole fundamental tone frequency range on frequency domain, and this characteristic ensure that can accomplish accurate synchronization based on AFSS sequence.
The technical scheme is that a kind of synchrodata analytic method for voice band compressibility, described method includes:
Step S4, receives, by mobile communications network, the compressed transmission data stream that the first client sends, and the voice data after decompression is inserted into the afterbody of transmitting data stream to be resolved；
Step S5, is undertaken described transmitting data stream to be resolved synchronizing parsing and obtains sync bit；
Step S6, is demodulated non-speech data by described sync bit.
Beneficial effects of the present invention: in the analytical algorithm of synchrodata, the mode of employing data stream stores acceptance but is the data resolved, it is ensured that the accuracy of resolution data；Data are carried out symbolization process and the correlation value calculation method of two-part, it is possible to significantly reduce operand, be conducive to improving the platform flexibility of algorithm；Two-part correlation value calculation method, it is possible to improve the parsing precision of sync bit, be possible to prevent again the generation of false synchronization situation.
Accompanying drawing explanation
A kind of synchrodata for voice band compressibility that Fig. 1 provides for the embodiment of the present invention generates method flow diagram；
A kind of synchrodata analytic method flow chart for voice band compressibility that Fig. 2 provides for the embodiment of the present invention；
The two-part correlation value calculation method flow diagram that Fig. 3 provides for the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing, principles of the invention and feature being described, example is served only for explaining the present invention, is not intended to limit the scope of the present invention.
A kind of synchrodata method flow diagram for voice band compressibility that Fig. 1 provides for the embodiment of the present invention.
With reference to Fig. 1, step S1, obtain pseudorandom synchronizing sequence.
Here, all kinds of mobile voice band compression systems all can better transmit the characteristic of the tone signal of sound audio fragment gene section, utilizes this feature, and what construct sound frequency range fundamental tone section meets single-tone sequence in order to accurate synchronization, is referred to as entirely to compose synchronizing sequence, is abbreviated as AFSS.AFSS shows as zero crossing in time domain to be increased gradually, can cover again whole fundamental frequency section on frequency domain.
Pseudo-random sequence is adopted to do the synchronizing sequence of non-speech data at circuit domain voice channel, it is ensured that after voice band compression/de-compression flow process, synchronizing sequence can reduce completely, it is ensured that the accuracy of subsequent synchronisation data parsing.
Step S2, is inserted into described pseudorandom synchronizing sequence in modulation data and obtains transmitting data stream, and described modulation data include non-speech data.
Here, the position of reserved synchrodata in the non-speech data of required transmission, uniform equally spaced insertion pseudorandom synchronizing sequence in non-speech data, does when resolving synchrodata and repeats to synchronize to search, it is ensured that the accurate data of whole transmitting procedure synchronizes.
Step S3, carries out audio band compression by described transmitting data stream by voice band compressibility and obtains compressed transmission data stream, and be sent to the second client by mobile communications network.
In the present embodiment, described step S2 includes:
It is inserted in described non-speech data obtains described transmitting data stream by uniformly equally spaced for described pseudorandom synchronizing sequence.
In the present embodiment, described pseudorandom synchronizing sequence is calculated according to formula (1) and formula (2):
AFSS (k)=cos (2 π * Fa*k*T+R0), k=0 ... N1-1(1)
T=1/Fs (2)
Wherein, AFSS (k) is described pseudorandom synchronizing sequence, and Fs is speech sample rate, and Fa is the frequency of voice gene frequency range, R0For initial phase, N1For natural number.
In the present embodiment, described pseudorandom synchronizing sequence is formed by stacking by multiple tone signals of different frequency, amplitude and initial phase.
A kind of synchrodata analytic method flow chart for voice band compressibility that Fig. 2 provides for the embodiment of the present invention.
With reference to Fig. 2, step S4, receive, by mobile communications network, the compressed transmission data stream that the first client sends, and the voice data after decompression is inserted into the afterbody of transmitting data stream to be resolved.
Here, the mode of employing data stream stores acceptance but is the data resolved, it is ensured that not easily repeated resolution data or loss data.
Step S5, is undertaken described transmitting data stream to be resolved synchronizing parsing and obtains sync bit.
Step S6, is demodulated non-speech data by described sync bit.
Further, as the refinement to implementation shown in Fig. 2, another embodiment of the present invention additionally provides two-part correlation value calculation method flow diagram.Concrete, as it is shown on figure 3, the method includes:
Step S5.1, chooses data point from described transmitting data stream to be resolved, described data point carries out symbolization, and the data point of symbolization is filled in FIFO forms.
Here, first data to be resolved are carried out symbolization process, it is possible to reduce operand to the full extent, be conducive to improving the platform flexibility of algorithm.Data after symbolization are put in FIFO forms, it is possible to be made directly follow-up correlation computing, it is possible to reduce operand to the full extent, are conducive to improving the platform flexibility of algorithm.
Described FIFO forms and the first reference sequences are calculated obtaining the first symbolization correlation, and are stored in the first First Input First Output by described first symbolization correlation by step S5.2.
Step S5.3, compares described first symbolization correlation respectively with the data in described first First Input First Output, and judges whether the first relevant peaks.
Step S5.4, if there is no described first relevant peaks, then repeated execution of steps S5.1-S5.3.
Step S5.5, if there is described first relevant peaks, then with the position of described first relevant peaks for benchmark, described FIFO forms and the second reference sequences are calculated obtaining the second symbolization correlation, and described second symbolization correlation is stored in the second First Input First Output.
Step S5.6, compares described second symbolization correlation respectively with the data in described second First Input First Output, and judges whether the second relevant peaks.
Step S5.7, if there is no described second relevant peaks, then repeated execution of steps S5.5 and S5.6, and be absent from described second relevant peaks within the specific limits, then search failure.
Here, with the first relevant peaks for benchmark, it is calculated within the specific limits, search the second relevant peaks, if the first relevant peaks finds, but within the scope of appointment, do not find the second relevant peaks, then think and do not find sync bit, so can ensure that the situation that will not produce false synchronization.
, if there is described second relevant peaks, then using the position of described second relevant peaks as sync bit in step S5.8.
In the present embodiment, described step S5.1 includes:
Judge that whether described data point is less than 0；
If described data point is less than 0, then the data point of described symbolization is 0；
If described data point is not less than 0, then the data point of described symbolization is 1.
In the present embodiment, described step S5.3 includes:
If described first symbolization correlation more than the data in described first First Input First Output, then judges that whether described first symbolization correlation is the first maximum symbolization correlation；
If described first symbolization correlation is the first maximum symbolization correlation, then determine described first relevant peaks according to described first symbolization correlation.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all within the spirit and principles in the present invention, any amendment of making, equivalent replacement, improvement etc., should be included within protection scope of the present invention.
Claims (8)
1. the synchrodata for voice band compressibility generates method, it is characterised in that being applied to the first client, described method includes:
Step S1, obtains pseudorandom synchronizing sequence；
Step S2, is inserted into described pseudorandom synchronizing sequence in modulation data and obtains transmitting data stream, and described modulation data include non-speech data；
Step S3, carries out audio band compression by described transmitting data stream by voice band compressibility and obtains compressed transmission data stream, and be sent to the second client by mobile communications network.
2. a kind of synchrodata for voice band compressibility according to claim 1 generates method, it is characterised in that described step S2 includes:
It is inserted in described non-speech data obtains described transmitting data stream by uniformly equally spaced for described pseudorandom synchronizing sequence.
3. a kind of synchrodata for voice band compressibility according to claim 1 generates method, it is characterised in that calculate described pseudorandom synchronizing sequence according to following formula:
AFSS (k)=cos (2 π * Fa*k*T+R0), k=0 ... N1-1
T=1/Fs
Wherein, AFSS (k) is described pseudorandom synchronizing sequence, and Fs is speech sample rate, and Fa is the frequency of voice gene frequency range, R0For initial phase, N1For natural number.
4. a kind of synchrodata for voice band compressibility according to any one of claim 1-3 generates method, it is characterised in that described pseudorandom synchronizing sequence is formed by stacking by multiple tone signals of different frequency, amplitude and initial phase.
5. the synchrodata analytic method for voice band compressibility, it is characterised in that being applied to the second client, described method includes:
Step S4, receives, by mobile communications network, the compressed transmission data stream that the first client sends, and the voice data after decompression is inserted into the afterbody of transmitting data stream to be resolved；
Step S5, is undertaken described transmitting data stream to be resolved synchronizing parsing and obtains sync bit；
Step S6, is demodulated non-speech data by described sync bit.
6. a kind of synchrodata analytic method for voice band compressibility according to claim 5, it is characterised in that described step S5 includes:
Step S5.1, chooses data point from described transmitting data stream to be resolved, described data point carries out symbolization, and the data point of symbolization is filled in FIFO forms；
Described FIFO forms and the first reference sequences are calculated obtaining the first symbolization correlation, and are stored in the first First Input First Output by described first symbolization correlation by step S5.2；
Step S5.3, compares described first symbolization correlation respectively with the data in described first First Input First Output, and judges whether the first relevant peaks；
Step S5.4, if there is no described first relevant peaks, then repeated execution of steps S5.1-S5.3；
Step S5.5, if there is described first relevant peaks, then with the position of described first relevant peaks for benchmark, described FIFO forms and the second reference sequences are calculated obtaining the second symbolization correlation, and described second symbolization correlation is stored in the second First Input First Output；
Step S5.6, compares described second symbolization correlation respectively with the data in described second First Input First Output, and judges whether the second relevant peaks；
Step S5.7, if there is no described second relevant peaks, then repeated execution of steps S5.5 and S5.6, and be absent from described second relevant peaks within the specific limits, then search failure；
, if there is described second relevant peaks, then using the position of described second relevant peaks as sync bit in step S5.8.
7. a kind of synchrodata analytic method for voice band compressibility according to claim 6, it is characterised in that described step S5.1 includes:
Judge that whether described data point is less than 0；
If described data point is less than 0, then the data point of described symbolization is 0；
If described data point is not less than 0, then the data point of described symbolization is 1.
8. a kind of synchrodata analytic method for voice band compressibility according to claim 6, it is characterised in that described step S5.3 includes:
If described first symbolization correlation more than the data in described first First Input First Output, then judges that whether described first symbolization correlation is the first maximum symbolization correlation；
If described first symbolization correlation is the first maximum symbolization correlation, then determine described first relevant peaks according to described first symbolization correlation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610184616.8A CN105791202A (en) | 2016-03-28 | 2016-03-28 | Synchronization data generation and analysis method for voice band compression system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610184616.8A CN105791202A (en) | 2016-03-28 | 2016-03-28 | Synchronization data generation and analysis method for voice band compression system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105791202A true CN105791202A (en) | 2016-07-20 |
Family
ID=56391445
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610184616.8A Pending CN105791202A (en) | 2016-03-28 | 2016-03-28 | Synchronization data generation and analysis method for voice band compression system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105791202A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1879431A (en) * | 2003-11-12 | 2006-12-13 | 皇家飞利浦电子股份有限公司 | Method and device for transferring non-speech data in voice channel |
| CN101873150A (en) * | 2009-04-21 | 2010-10-27 | 现代自动车株式会社 | Method for transmitting data over voice channel |
| CN101930587A (en) * | 2009-06-19 | 2010-12-29 | 株式会社理光 | Watermark information extended coding, embedding, evaluating and detection extracting method and device thereof |
| CN105071895A (en) * | 2015-07-20 | 2015-11-18 | 庞潼川 | Method of transmitting and receiving data capable of penetrating various vocoders and system |
-
2016
- 2016-03-28 CN CN201610184616.8A patent/CN105791202A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1879431A (en) * | 2003-11-12 | 2006-12-13 | 皇家飞利浦电子股份有限公司 | Method and device for transferring non-speech data in voice channel |
| CN101873150A (en) * | 2009-04-21 | 2010-10-27 | 现代自动车株式会社 | Method for transmitting data over voice channel |
| CN101930587A (en) * | 2009-06-19 | 2010-12-29 | 株式会社理光 | Watermark information extended coding, embedding, evaluating and detection extracting method and device thereof |
| CN105071895A (en) * | 2015-07-20 | 2015-11-18 | 庞潼川 | Method of transmitting and receiving data capable of penetrating various vocoders and system |
Non-Patent Citations (2)
| Title |
|---|
| 李中年: "《电力通信》", 31 May 2009 * |
| 陈韬伟: "《雷达辐射源信号脉内分选方法研究》", 31 January 2015 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR100711177B1 (en) | Broadcasting synchronization method and portable terminal | |
| TW200806024A (en) | Detection of presence of television signals embedded in noise using cyclostationary toolbox | |
| KR101773156B1 (en) | Communication method, system and device for optical network system | |
| JP2013534383A (en) | System and method for synchronous tracking in an in-band modem | |
| CN101494052B (en) | Method and apparatus for determining and using the sampling frequency for decoding watermark information embedded in a received signal sampled with an original sampling frequency at encoder side | |
| CN108964786B (en) | Method and device for coding and decoding sound wave signal | |
| CN105791202A (en) | Synchronization data generation and analysis method for voice band compression system | |
| CN105071895B (en) | The data transmission and reception method and system of all kinds of vocoders can be penetrated | |
| US8340656B2 (en) | Systems and methods for synchronizing data transmission over a voice channel of a telephone network | |
| KR101174386B1 (en) | Method and system for the extension of frequency offset estimation range based on correlation of complex sequences | |
| CN107045121A (en) | A kind of near field ultra-broadband signal phase difference ranging method and system | |
| US20070248193A1 (en) | Method for fine timing acquisition | |
| KR20090093206A (en) | Method of deciding a delay for network synchronization in network system | |
| KR100872771B1 (en) | Methods and apparatus for time information synchronization using key re-synchronization frame in encryption communications | |
| CN103152071B (en) | Method and equipment for searching synchronization sequence | |
| US20170337316A1 (en) | Data processing system | |
| CN114389762A (en) | Double-link data switching processing method for digital simultaneous transmission system | |
| JP2006054540A (en) | Synchronization method of communication | |
| CN104023386B (en) | Transmitting terminal, receiving terminal and its frame synchornization method, frame synchronization system | |
| CN102780553A (en) | Method, system and equipment for transmitting synchronous code sequence and synchronizing | |
| JP5139550B2 (en) | Mobile communication terminal test system, base station simulation apparatus, and delay time measurement method | |
| US20220417881A1 (en) | Synchronization method and information apparatus | |
| JP5611393B2 (en) | Delay time measuring apparatus, delay time measuring method and program | |
| US4964165A (en) | Method for the fast synchronization of vocoders coupled to one another by enciphering | |
| CN110910899B (en) | Real-time audio signal consistency comparison detection method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160720 |