CN110213461A - Simulated television image restoring method and storage medium based on software radio - Google Patents
Simulated television image restoring method and storage medium based on software radio Download PDFInfo
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- CN110213461A CN110213461A CN201910547926.5A CN201910547926A CN110213461A CN 110213461 A CN110213461 A CN 110213461A CN 201910547926 A CN201910547926 A CN 201910547926A CN 110213461 A CN110213461 A CN 110213461A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré or halo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/01—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level
- H04N7/0102—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level involving the resampling of the incoming video signal
Abstract
The invention discloses a kind of simulated television image restoring method and storage medium based on software radio obtain base band data to zero intermediate frequency sampled data quadrature demodulation first；Then field synchronization position is searched for by sliding correlation technique, and simulated television system types is judged according to opposite field synchronic distance；Then according to system types update relevant parameter after since field synchronization deviate 8 search window positions, pass through the synchronous initial position of sliding correlation technique search row again, minimum position in corresponding search window is recorded, and image data is calculated according to constant offset and originates chip position；Finally according to the effective line number in image data initial position and field, 2-D gray image matrix is extracted, restores display TV image after unitization.The present invention effectively reduces the influence of burr and distortion in anolog TV signals, restores image as much as possible, to improve receptivity and anti-interference ability, effectively increases television signal transmission distance.
Description
Technical field
The present invention relates to a kind of simulated television image restoring method and storage medium, more particularly to one kind based on software without
The simulated television image restoring method and storage medium of line electricity.
Background technique
Currently, general television set is there is image or anamorphose serious situation is displayed without, this is because at certain
Under a little maximum conditions, since the limitation of sampling front-end or transmission bandwidth causes sample rate not high, in addition, signal of eating dishes without rice or wine may be by
The reason of strong jammings and influence of fading and the images such as distance, coloured noise, frequency selection decline are displayed without or deform it
One.In this case, needing a kind of reduction burr and distorted signal influences, and restores the method for television image as far as possible.
Summary of the invention
Goal of the invention: the technical problem to be solved in the present invention is to provide a kind of simulated television image based on software radio
Restoring method and storage medium solve television image display problem under low sampling rate and strong jamming, in received television image
Signal it is jagged and distortion in the case where, to receive signal handle, restore television image as much as possible.
Technical solution: the simulated television image restoring method of the present invention based on software radio, including following step
It is rapid:
(1) with sample rate fsTV signal is sampled, obtained zero intermediate frequency data carry out quadrature demodulation, obtain base band after demodulation
Data；
(2) using 2*L as search window, with LdCorrelation is slided for correlation length computation, field synchronization is carried out to base band data
Search judges simulated television system types according to field sync signal initial position, and L is the row sample length of sample, LdFor
The effective sample length of every row；
(3) according to simulated television system types undated parameter L, Nh、Nv, using 2*L as search window, with LdFor correlation length
Sliding correlation is calculated, the synchronous search of row is carried out, global minimum position in the window for meeting row synchronous condition is calculated
ivalley, according to ivalleyEffective image data position, N is calculatedhFor every effective line number, NvFor field retrace line number；
(4) since the effective image data position in step (3), the sample number of field is extracted in base band data
According to going back original image after unitization processing.
Further, judgment method in step (2) are as follows:
Calculate the average value of sliding correlationWhenLower than thresholding Threshold1Record currently includes searching for field synchronization
Rope window serial number index, then next search window serial number index comprising field synchronization is searched for since index+1next, in calculating
The number of chips distance D between field synchronization twice is stated, if D >=0.0183*fs, then it is assumed that it is pal television signa, otherwise recognizes
To be NTSC system formula TV signal, wherein D=2*L* (indexnext-index)。
Further,
L=round (640*10-6*fs), Ld=round (533*10-6*fs),
Wherein, round is the function that rounds up, and R (i) is sliding correlation, yiIt (j) is i code of sliding in base band data
J-th of the chip started after piece, yi+L(j) j-th of the chip started after i+L chip is slided in base band data.
Further,
Threshold1=max { yi(j), j=1,2 ..., 3*L+Ld* 0.1,
Wherein, yi(j) j-th of chip to start after i chip of sliding in base band data.
Further, the row synchronous searching method in step (3) are as follows:
8 search window positions are moved in field sync signal initial position in step (2) backward, start to carry out going to synchronize searching
Rope calculates the average value of sliding correlationWhenHigher than thresholding Threshold2When, judge paddy where global minimum in window
Whether value position is L at a distance from adjacent valley, if the distance is equal to L, searches the synchronous position of row, row, which synchronizes, to be searched
Global minimum position is i in rope windowvalley, effective image data position istartFor,
istart=(index ' -1) * 2*L+mod (ivalley,L)+(12+4.7+4.7+4.7)*10-6*fs,
Wherein, index ' is current search window serial number, and mod is MOD function.
Further,
Threshold2=max { yi(j), j=1,2 ..., 3*L+Ld* 0.4,
Wherein, yi(j) j-th of chip to start after i chip of sliding in base band data.
Further, in step (3),
Further, step (4) specifically:
(41) since effective image data position, N is extractedh* sample number of the L chip as a field
According to, to every a line sample, L before extractingdA sample obtains N as effective samplehxLdSample matrix, restored after unitization
Corresponding television image；
(42) it is spaced Nv* after L sample data, N is reacquiredh* L chip therefrom extracts new NhxLdSample moment
Battle array, restores the corresponding television image in next field after unitization
(43) step (42) are repeated, until restoring required television image.
Computer storage medium of the present invention, is stored thereon with computer program, and the computer program is being counted
Calculation machine processor realizes the above-mentioned simulated television image restoring method based on software radio when executing.
The utility model has the advantages that the present invention can be by simulated television there are row correlation principle, slip scan obtains field synchronization position
It sets and row sync bit, then extracts the effective image data in each row data, finally form a 2-D gray image square
Battle array restores after unitization and shows television image, improves the receptivity and anti-interference ability of TV signal, improve TV
The reception distance of image.
Detailed description of the invention
Fig. 1 is the flow chart of the method for the invention；
Fig. 2 is base band data sliding relevant search schematic diagram；
Fig. 3 is the base band data schematic diagram with burr and distortion in search window；
Fig. 4 is the sequence of correlation values schematic diagram for sliding relevant search and obtaining.
Specific embodiment
The method flow of the present embodiment is as shown in Figure 1, include the following steps:
Step 1 carries out quadrature demodulation to the zero intermediate frequency data that sampling obtains, and obtains corresponding base band data, remembers base band data
For x (n), sample rate fs, step 2 is executed in next step.
Step 2 carries out sliding correlation to base band data, serial number index value, the opposite field of search window where search field synchronization
Window serial number index where synchronousnext, and calculate the distance D between search window: first to raw baseband data x (n) after demodulation,
Stage extraction is carried out for the search window length of 2*L with length, successively obtains vector:
Wherein S=(w-1) * 2*L, L are the corresponding every row sample length of television image row, calculation formula L=round
(640*10-6*fs).Sliding rule for w-th of search window data is as shown in Fig. 2, be with the effective sample of the every row of television image row
This length LdFor correlation length, calculation formula Ld=round (533*10-6*fs), a chip is slided every time, takes a length of Ld's
Sequence { yi(j), j=1,2 ..., Ld, wherein i=1,2 ... ..., SearchWin=2*L, SearchWin are search window, long
Degree is 2*L, and round is the function that rounds up in Matlab, yi(j) jth to start after i chip of sliding in base band data
A chip；It is spaced L chip again and takes a length of LdSequence { yi+L(j), j=1,2 ..., Ld}；The two dot product calculates correlation and obtains
Slide sequence of correlation valuesThen dynamic is calculated
Thresholding Threshold1(w), calculation formula Threshold1(w)=max { yi(j), j=1,2 ..., 3*L+Ld* 0.1,
Y at this timeiIt (j) is the data in one data segment of entire search window and offset；Finally judge that R (i) mean value is low in current search window
Below thresholding, then it is assumed that search field sync signal, search window serial number index value where current w value is field synchronization meets
ConditionWhen, serial number index where searching field synchronization window；Then again since index+1
The serial number index of search window where continuing the next field synchronization of slip scannext；Then calculate between adjacent field synchronization twice away from
From D, calculation formula is D=2*L* (indexnext- index), thus the simulation electricity received according to the judgement of the size of distance value D
It is as follows depending on standard:Step 3 is executed in next step.IfWhen being unsatisfactory for field synchronization threshold condition, execute w=w+1, take next search window data after
It is continuous to execute field synchronization search, step 2 is executed in next step.
Step 3 after obtaining the received anolog TV signals standard of sampling, needs to have every row sample length L, every
Imitate line number Nh, field retrace line number NvThree values are updated: Step 4 is executed in next step.
Step 4 obtains window index value from search, deviates 8 search windows backward and starts search row sync bit, i.e.,
Index '=index+8 executes step 5 in next step.
Step 5, according to current fragment index ' value, extract search window segment dataIt executes and class in step 2
As slide relevant search process, obtain R (i)；Dynamic threshold is calculated again:
Threshold2(index ')=max { yi(j), j=1,2 ..., 3*L } * 0.4；
Then judge whether R (i) mean value is higher than thresholding or more in current search window, if lower than thresholding and it is following if be discontented with
The synchronous Rule of judgment of sufficient row, executes index '=index '+1, jumps to next search window data and continues to execute the synchronous search of row,
Step 5 is continued to execute in next step；If being higher than thresholding or more, i.e.,It then need to be into one
Step judges extreme value (minimum) spacing condition, executes step 6 in next step.
Step 6, for meeting thresholding Threshold2Sliding sequence of correlation values more than (index ')First take the overall situation
Minimum value Valuevalley=min { R (i), i=1,2,3 ..., L } and the subscript position i where minimum valuevalley, wherein
ivalley=find (R (i)==Valuevalley), find is the function in matlab, is equal to for searching in array R (i)
ValuevalleyElement position；Then with ivalleyNext theoretical extreme (local minimum) position is calculated for starting point
inext-valley, calculation formula inext-valley=mod (ivalley+ L, 2*L), i.e., theoretically adjacent extreme value spacing from for L；Again with
inext-valleyCentered on, take the 10% of row sample length L to be used as extremum search window, i.e. Winvalley=0.1*L is searched for adjacent
Next extreme value and corresponding position obtain: Valuenext-valley=min { R (r) }, i'next-valley=find (R (r)==
Valuenext-valley), wherein r=inext-valley-Winvalley/2,inext-valley-Winvalley/2+1,……,inext-valley+
Winvalley/2；Finally judge whether distance meets worst error model between practical adjacent extreme value place and theoretical adjacent extreme value place
Requirement (within 3 chips of default) are enclosed, if in error range, then it is assumed that sequence of correlation values meets extreme value neighbor, from
And think that row synchronization is searched for successfully, that is, meets condition | i'next-valley-inext-valley|≤3, step 7 is executed in next step；Otherwise
It is unsatisfactory for adjacent extreme value distance condition, the synchronous search failure of row, index=index+1 executes step 5 in next step.
Step 7 can obtain image data initial code according to the constant offset between extreme value place and image line sample valid data
Piece subscript are as follows:
istart=(index ' -1) * 2*L+mod (ivalley,L)+round((12+4.7+4.7+4.7)*10-6*fs),
Then from istartStart, as unit of every row sample length L, successively obtains NhRow data, i.e. extraction Nh* L code
Piece is the sample data of a field；Again to every a line sample, L before extractingdThe a line of a effective sample as image data, thus
Obtain a NhxLd2-D gray image matrix, it is unitization after i.e. restore when the corresponding black-and-white television image in front court.Then again
It is spaced NvRow field retrace row, i.e. interval Nv* after L sample data, N is reacquiredh* L sample data is therefrom extracted newly
NhxLd2-D gray image matrix, the corresponding black-and-white television image in next field is restored after unitization, and so on reduction
Television image out.
The concrete application of this method is stated with concrete scene and data below.
The video bandwidth that known analog TV defines is about 6MHZ, and suggests using in ITU601 recommended standard
13.5Msps sample rate.But under certain maximum conditions, it cannot be guaranteed that so high sample rate, underneath with 3.84Msps's
For sample rate, to illustrate the simulated television image restoring method under low sampling rate.
Step 1 sends TV signal using simulated television launch terminal, and configuration uses PAL simulated television standard, picture number
According to FM modulation system is used, Zai Tu signal center frequency point is 1.0GHZ.
Step 2, receiver local oscillator frequency point are configured to 1.0GHZ, and sample rate is configured to 3.84MHZ, saves the hits of 10s
According to s (n).
Step 3 carries out FM quadrature demodulation, base band data x (n) after must demodulating to preservation data.
Step 4, known fs=3.84Msps, then every row sample length L=round (640*10-6*fs)=246, every row have
Imitate sample length Ld=round (533*10-6*fs)=205, search window length are SearchWin=2*L=492.I.e. with search
492 chips of window are unit, carry out sliding auto-correlation search to data in each search window, wherein auto-correlation length is 205.Therefore
X (n) is segmented with length 492+246+205=943 in actual treatment, and has the overlapping of 451 chips between adjacent segment.
Base band data in search window is as shown in Figure 3.
Step 5 is segmented interior data for each, deviates 1 chip every time, first takes continuous 205 chip data { yi
(j), j=1,2,3 ... ..., 205 }, then continuous 205 chip data { y is taken after being spaced 246 chipsi+246(j), j=1,2,
3 ... ..., 205 }, two sequence dot products are averaging to obtain correlationWherein i is indicated when advancing slip
Activity code the piece number.After the sliding correlated series { R (i), i=1,2,3 ... ..., 492 } of current search window are calculated, then calculate dynamic
State threshold T hreshold1=max { yi(j), j=1,2 ... ..., 943 } * 0.1, i.e. current fragment slides auto-correlation dynamic gate
Limit value is 10% of maximum chip value in section.The mean value of sequence of correlation values in search window is calculated againIf
Equal to or higher than thresholding Threshold1,Then think to be unsatisfactory for field synchronization condition, takes next segment data
It continues to execute step 5 and carries out field synchronization search；Otherwise then think to search field synchronization initial position, record the serial number of current fragment
Index value；Index'=index+1 is enabled again, serial number index where next field synchronization window is searched for since index'next.Example
Index=156, index such as can be obtained by sampled data searchnextIt is 312, therefore D=2*L* (indexnext- index)=2*
246* (312-156)=76752；And the field frequency f of known PALvIt is 50, is divided into D' between corresponding theory field synchronizationPAL=fs/fv
=76800；NTSC field frequency is 59.94, is divided into D' between theoretical field synchronizationNTSC=fs/fv=64064；Therefore field synchronization interval 70400
Chip or more is judged to pal mode, is otherwise judged to NTSC system formula, so judging that present sample signal is pal mode.
Step 6 obtains simulated television standard to update every row sample length L value, L=round (640*10 after PAL-6*
fs)=246, every effective row Nh=288, field retrace line number Nv=25 three values.
Serial number index where step 7, the field synchronization window searched since step 5, the corresponding search window of offset field retrace
Number, it is known that the field retrace behavior 25 of pal mode, the field retrace behavior 20 of NTSC system formula execute to be compatible with PAL and NTSC
It is synchronous to start search row after index '=index+8, i.e., synchronizes and searches from the position starting row of the 164th window of search window serial number
Rope.
Step 8 executes identical sliding relevant calculation according to current index ' value, row synchronization and field synchronization, synchronizes at once
When search also it is similar be calculated the synchronous search window of current line corresponding sliding correlated series R (i), i=1,2,3 ...,
492 } and sequence of correlation values mean valueAnd dynamic threshold Threshold is calculated2=max { yi(j), j=1,
2 ... ..., 943 } * 0.4, i.e. current fragment sliding auto-correlation dynamic threshold is 40% of maximum chip value in section.WhenThen think no enough row synchronous condition, executes index '=index '+1, re-execute the steps 8；WhenWhen, it need to further judge whether extreme value interval meets condition, execute step 9.
Step 9 judges the extreme cases of sliding correlated series { R (i), i=1,2,3 ... ..., 492 }, judges pole
Whether value interval matches with every row sample length L: first looking for minimum Value in windowvalley=0.4547 and its position
ivalley=472；Can then calculate adjacent extreme value theoretical position be inext-valley=mod (ivalley+ L, 2*L)=mod (472+
246,492)=226；Then centered on 226, extremum search window length Win is takenvalley=24,12 chips of each offset in left and right
Local minimum and corresponding position are searched for, Value is obtainednext-valley=0.4687, i'next-valley=226；Finally calculate |
i'next-valley-inext-valley|=0≤3 meet adjacent minimum spaced apart condition, and row synchronizes success, extract simultaneously unit in next step
Reduction display image, executes step 10 after change.If there is | i'next-valley-inext-valley| when > 3, illustrate to be unsatisfactory for adjacent
Minimum spaced apart condition after executing index=index+1, then executes step 8.
Step 10, the current index=324 and i obtained according to field synchronization, the synchronous search of rowvalley=472, such as Fig. 4 institute
Show；Then calculate image valid data initial position are as follows:
istart=(index ' -1) * 2*L+mod (ivalley,L)+(12+4.7+4.7+4.7)*10-6*fs, i.e.,
istart=(324-1) * 2*246+mod (472,246)+round (26.1*3.84) finally obtains istart=
159242.The simulated television image data then received is from istart=159242 start, and are single with every row sample length L=246
Position, continuous Nh=288 rows constitute the sampled data of a field picture, and then every row extracts preceding 205 chip as valid data, most
One 288 × 205 2-D gray image matrix is obtained afterwards, is restored after unitization and is shown television image.
Step 11, the end position that next field picture data are a upper image sampling are spaced N againv* L=25*246=
6150 chips, i.e. execution istart=istart+(Nh+Nv) after * L=236240, step 10 is executed, extract next two dimension
Gray level image matrix restores after unitization and shows television image.
If the embodiment of the present invention is realized and when sold or used as an independent product in the form of software function module,
Also it can store in a computer readable storage medium.Based on this understanding, the technical solution of the embodiment of the present invention
Substantially the part that contributes to existing technology can be embodied in the form of software products in other words, the computer software
Product is stored in a storage medium, including some instructions are used so that computer equipment (can be personal computer,
Server or the network equipment etc.) execute all or part of each embodiment the method for the present invention.And storage above-mentioned is situated between
Matter, which includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read Only Memory), magnetic or disk etc. are various, to deposit
Store up the medium of program code.It is combined in this way, present example is not limited to any specific hardware and software.
Correspondingly, being stored thereon with computer program the embodiments of the present invention also provide a kind of computer storage medium.
When the computer program is executed by processor, the aforementioned simulated television image restoring side based on software radio may be implemented
Method.For example, the computer storage medium is computer readable storage medium.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Claims (9)
1. a kind of simulated television image restoring method based on software radio, which comprises the following steps:
(1) with sample rate fsTV signal is sampled, obtained zero intermediate frequency data carry out quadrature demodulation, obtain base band data after demodulation；
(2) using 2*L as search window, with LdCorrelation is slided for correlation length computation, field synchronization search is carried out to base band data,
Simulated television system types are judged according to field sync signal initial position, and L is the row sample length of sample, LdFor every row
Effective sample length；
(3) according to simulated television system types undated parameter L, Nh、Nv, using 2*L as search window, with LdFor correlation length computation
Correlation is slided, the synchronous search of row is carried out, global minimum position i in the window for meeting row synchronous condition is calculatedvalley, root
According to ivalleyEffective image data position, N is calculatedhFor every effective line number, NvFor field retrace line number；
(4) since the effective image data position in step (3), the sample data of field is extracted in base band data, it is single
Original image is gone back after positionization processing.
2. the simulated television image restoring method according to claim 1 based on software radio, which is characterized in that step
(2) judgment method in are as follows:
Calculate the average value of sliding correlationWhenLower than thresholding Threshold1Record currently includes the search window of field synchronization
Serial number index, then next search window serial number index comprising field synchronization is searched for since index+1next, calculate above-mentioned two
Number of chips distance D between secondary field synchronization, if D >=0.0183*fs, then it is assumed that it is pal television signa, otherwise it is assumed that being
NTSC system formula TV signal, wherein D=2*L* (indexnext-index)。
3. the simulated television image restoring method according to claim 2 based on software radio, it is characterised in that:
L=round (640*10-6*fs), Ld=round (533*10-6*fs),
Wherein, round is the function that rounds up, and R (i) is sliding correlation, yiIt (j) is to be opened after sliding i chip in base band data
J-th of the chip to begin, yi+L(j) j-th of the chip started after i+L chip is slided in base band data.
4. the simulated television image restoring method according to claim 2 based on software radio, it is characterised in that:
Threshold1=max { yi(j), j=1,2 ..., 3*L+Ld* 0.1,
Wherein, yi(j) j-th of chip to start after i chip of sliding in base band data.
5. the simulated television image restoring method according to claim 1 based on software radio, which is characterized in that step
(3) the row synchronous searching method in are as follows:
8 search window positions are moved in field sync signal initial position in step (2) backward, start to carry out the synchronous search of row,
Calculate the average value of sliding correlationWhenHigher than thresholding Threshold2When, judge valley where global minimum in window
Whether position is L at a distance from adjacent valley, if the distance is equal to L, searches the synchronous position of row, the synchronous search of row
Global minimum position is i in windowvalley, effective image data position istartFor,
istart=(index ' -1) * 2*L+mod (ivalley,L)+(12+4.7+4.7+4.7)*10-6*fs,
Wherein, index ' is current search window serial number, and mod is MOD function.
6. the simulated television image restoring method according to claim 5 based on software radio, which is characterized in that
Threshold2=max { yi(j), j=1,2 ..., 3*L+Ld* 0.4,
Wherein, yi(j) j-th of chip to start after i chip of sliding in base band data.
7. the simulated television image restoring method according to claim 1 based on software radio, which is characterized in that step
(3) in,
8. the simulated television image restoring method according to claim 1 based on software radio, which is characterized in that step
(4) specifically:
(41) since effective image data position, N is extractedh* sample data of the L chip as a field, to every
A line sample, L before extractingdA sample obtains N as effective samplehxLdSample matrix, corresponding electricity is restored after unitization
Visible image；
(42) it is spaced Nv* after L sample data, N is reacquiredh* L chip therefrom extracts new NhxLdSample matrix, it is single
The corresponding television image in next field is restored after positionization
(43) step (42) are repeated, until restoring required television image.
9. a kind of computer storage medium, is stored thereon with computer program, it is characterised in that: the computer program is being counted
Claim 1 to 8 described in any item methods are realized when calculation machine processor executes.
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| CN115278141A (en) * | 2022-09-27 | 2022-11-01 | 成都中星世通电子科技有限公司 | Multi-system analog image signal demodulation and restoration method and system |
| CN117156084A (en) * | 2023-10-30 | 2023-12-01 | 中孚安全技术有限公司 | System identification and restoration method for television signals |
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| CN115278141B (en) * | 2022-09-27 | 2023-01-17 | 成都中星世通电子科技有限公司 | Multi-standard analog image signal demodulation and restoration method and system |
| CN117156084A (en) * | 2023-10-30 | 2023-12-01 | 中孚安全技术有限公司 | System identification and restoration method for television signals |
| CN117156084B (en) * | 2023-10-30 | 2024-01-09 | 中孚安全技术有限公司 | System identification and restoration method for television signals |
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