CN1681214A - Equating method of filter, balancer, wireless communicating device decision feedback - Google Patents
Equating method of filter, balancer, wireless communicating device decision feedback Download PDFInfo
- Publication number
- CN1681214A CN1681214A CN 200410033405 CN200410033405A CN1681214A CN 1681214 A CN1681214 A CN 1681214A CN 200410033405 CN200410033405 CN 200410033405 CN 200410033405 A CN200410033405 A CN 200410033405A CN 1681214 A CN1681214 A CN 1681214A
- Authority
- CN
- China
- Prior art keywords
- signal
- self adaptation
- calculation apparatus
- filter
- equalizer
- 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.)
- Granted
Links
Images
Landscapes
- Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)
- Filters That Use Time-Delay Elements (AREA)
Abstract
The invention consists of a filter, arithmetic unit and a self-adapting calculus device. The filter has a transform matrix device used in pre-whitening signal, and is used in restoring signal into a reduction signal. The arithmetic unit is used in comparing the reduction signal with an expected signal to get an error signal. The self-adapting calculus device is used in using error signal to adjust a filter coefficient of filter, and adopts normalized least mean square, NLMS algorithm.
Description
Technical field
The present invention relates to a kind of equalizer and wireless communication apparatus of changing domain adaptive filter, using the conversion domain adaptive filter, and decision-making back coupling equalization method.
Background technology
Signal can be subjected to channel (channel) influence when transmitting, therefore need equalizer (equalizer) to come recovering signal at receiving terminal.General equilibrium device framework comprises sef-adapting filter (adaptive filter) 601, decision making device (decision device) 602, signal generator 604, arithmetic unit 606 and multiplexer (multiplexer) 608 as shown in Figure 6.Multiplexer 608 suspension control signal CS ' control, and one of signal that trade-off decision device 602 and signal generator 604 produce be desired signal d ' (n).In the training stage, known training signal (training sequence) is sent into sef-adapting filter 601 as x (n) get recovering signal y ' (n).This moment, signal generator 604 also produced the signal identical with known training signal, and was output as d ' (n) through multiplexer 608.Then arithmetic unit 606 calculates error signal e ' (n) to feed back to sef-adapting filter 601.So sef-adapting filter 601 is the inverse system (inverse system) of channel by adjustment, and then sef-adapting filter is applicable to recovering signal.And decision making device 602 be used to compare recovering signal y ' (n) with a plurality of prearranged signalss, export the output signal s of one of a plurality of prearranged signalss as equalizer " (n), and give multiplexer 608.Formal when using sef-adapting filter 601, then by the output signal s of decision making device 602 decisions " (n) (n) as desired signal d '.
But (convergence speed) is relevant with the characteristic of input signal for the convergence rate during the adjustment sef-adapting filter.The sef-adapting filter 601 that equalizer shown in Figure 6 uses can cause convergence rate to descend because of the characteristic of input signal, then the equalizer general performance also can variation.Therefore need a kind of sef-adapting filter and decision-making back coupling equalization method that improves convergence rate, and can be applicable to equalizer and wireless communication apparatus.
Summary of the invention
Main purpose of the present invention is providing a kind of sef-adapting filter and decision-making back coupling equalization method that improves convergence rate, and can be applicable to equalizer and wireless communication apparatus.Sef-adapting filter of the present invention be conversion domain adaptive filter with transition matrix (transform matrix) device (transformdomain adaptive filter, TDAF).Transition matrix can reach input signal decorrelation (decorrelate) effect of preposition albefaction, and then improve convergence rate.And this conversion domain adaptive filter adopts regular lowest mean square, and (normalized least mean square, NLMS) algorithm is its adaptive algorithm (adaptive algorithm), and can guarantee that the output of filter is stable.
The invention provides a kind of conversion domain adaptive filter, comprise a filter main body, an arithmetic unit and a self adaptation calculation apparatus.Filter main body has a transition matrix device and is used for preposition albefaction one signal, and filter main body is used for received signal and is reduced into a recovering signal.Arithmetic unit is used for comparison recovering signal and and expects that signal is to get an error signal.The self adaptation calculation apparatus is used to utilize error signal to adjust a filter coefficient of filter main body.Wherein the self adaptation calculation apparatus adopts a regular least mean square algorithm.
Aforementioned transition matrix device can adopt Fahrenheit conversion (Walsh-Hadamard Transform, WHT).The self adaptation calculation apparatus also can utilize the signal of preposition albefaction to adjust filter coefficient.The self adaptation calculation apparatus can comprise a power calculation unit, is used to calculate a power of the signal of preposition albefaction.The self adaptation calculation apparatus also can comprise an adder, is used for power is added a predetermined constant, temporarily counts to get one first, and predetermined constant is used to make the first temporary transient number non-vanishing.The self adaptation calculation apparatus also can comprise a divider, is used for a step-length constant (step size constant) is temporarily counted divided by first, gets one second and temporarily counts, to carry out normalization.The self adaptation calculation apparatus also can comprise a multiplier, is used for the second temporary transient number be multiply by error signal, and to get a feedback signal, feedback signal is used to adjust filter coefficient.
The invention provides a kind of equalizer, comprise aforesaid filter main body, also can comprise aforesaid arithmetic unit and self adaptation calculation apparatus.Aforementioned equalizer also can comprise a decision making device (decision device), is used to compare recovering signal and a plurality of prearranged signals, is desired signal and export one of a plurality of prearranged signalss.Aforementioned equalizer also can comprise a signal generator, is used to produce desired signal.
The invention provides a kind of wireless communication apparatus, comprise aforesaid equalizer.
The present invention also provides change (decision feedback equalization) methods such as a kind of decision-making back coupling, comprises the following step.Receive a signal x (n), signal x (n) is that an original signal s (n) produces through the passage with a transfer function (transfer function) H (z).Preposition whitened signal x (n) is to produce a whitened signal p (n).And whitened signal p (n) comprised repeatedly the changes such as decision-making back coupling of iteration (iteration), to produce (n) approximate original signal s (n) of an output signal s '.Each repeatedly iteration produce a recovering signal y (n), an error signal e (n) and a feedback signal f (n).Error signal e (n) is by relatively a recovering signal y (n) and an expectation signal d (n) are produced.Feedback signal f (n) produces according to error signal e (n).Wherein feedback signal f (n) multiply by error signal e (n) by a step-length constant μ, and the power divided by whitened signal p (n) produces again.
The preposition albefaction step of aforementioned decision-making back coupling equalization method can adopt the Fahrenheit conversion.Aforementioned desired signal d (n) can equal original signal s (n).Aforementioned desired signal d (n) also can use down step and produce: comparison recovering signal y (n) and a plurality of prearranged signalss are desired signal d (n) and export one of a plurality of prearranged signalss.
Description of drawings
Fig. 1 is a conversion domain adaptive filter embodiment calcspar of the present invention;
Fig. 2 is the calcspar of self adaptation calculation apparatus among Fig. 1;
Fig. 3 is an equalizer embodiment calcspar of the present invention;
Fig. 4 is a wireless communication apparatus embodiment schematic diagram of the present invention;
Fig. 5 is that equalization method embodiment is feedback in decision-making of the present invention flow chart; And
Fig. 6 is an equalizer calcspar in the prior art.
The reference numeral explanation
100 conversion domain adaptive filter embodiment
102 filter main body, 104 transition matrix devices
106 arithmetic units, 108 self adaptation calculation apparatus groups
110-116 self adaptation calculation apparatus 120-124 delay cell
126 delay line 130-136 reduce sampling unit
140-146 sef-adapting filter unit
170 power calculation unit, 172 adders
174 dividers, 176 multipliers
300 equalizer embodiment, 302 decision making devices
304 signal generators, 306 multiplexers
400 wireless communication apparatus embodiment
601 sef-adapting filters, 602 decision making devices
604 signal generators, 606 arithmetic units
608 multiplexers
Embodiment
Fig. 1 is the calcspar of conversion domain adaptive filter embodiment 100 of the present invention.This conversion domain adaptive filter embodiment 100 comprises filter main body 102, arithmetic unit 106 and self adaptation calculation apparatus group 108.This embodiment 100 is one 24 rank conversion domain adaptive filters, and the transition matrix device 104 of mat 4x4 cooperates four 6 rank sef-adapting filter unit 140-146 to realize.
Filter main body 102 is used for recovering signal x (n) and becomes a recovering signal y (n).Signal x (n) splits into four the tunnel by the delay line that comprises delay cell 120-124 (delay line) 126 and enters transition matrix device 104.Transition matrix device 104 is used for signal x (n) decorrelation (decorrelate), reaching preposition albefaction, and then improves convergence rate.Among this embodiment 100, transition matrix device 104 adopts Fahrenheit conversion (WHT), so also can use discrete fourier conversion (Discrete Fourier Transform, DFT), real number discrete fourier conversion (Real Discrete Fourier Transform, RDFT), discrete hartley conversion (Discrete Hartley Transform, DHT), discrete cosine transform (Discrete Cosine Transform, DCT) and discrete sine conversion (Discrete SineTransform, DST) or the like.Signal x (n) becomes whitened signal p1 (n)-p4 (n) through preposition albefaction, enters sef-adapting filter unit 140-146 respectively through reducing sampling (down sampling) unit 130-136 again.The output of sef-adapting filter unit 140-146 adds up becomes recovering signal y (n).
Self adaptation calculation apparatus group 108 comprises self adaptation calculation apparatus 110-116.Self adaptation calculation apparatus 110-116 adopts regular least mean square algorithm, is used to guarantee that the recovering signal y (n) of embodiment 100 outputs is stable.Among this embodiment 100, self adaptation calculation apparatus 110-116 utilizes error signal e (n) and whitened signal p1 (n)-p4 (n) to produce feedback signal f1 (n)-f4 (n) respectively, to adjust the filter coefficient of sef-adapting filter unit 140-146,, embodiment 100 is the inverse system of channel and being become.
Fig. 2 is the calcspar of self adaptation calculation apparatus 110 among Fig. 1, and self adaptation calculation apparatus 112-116 all and similar.Self adaptation calculation apparatus 110 can comprise a power calculation unit 170, is used to calculate the power of the whitened signal p1 (n) of preposition albefaction.Self adaptation calculation apparatus 110 also can comprise an adder 172, is used for the power that power calculation unit 170 calculates is added a predetermined constant a, temporarily counts to get one first.Predetermined constant a is used to make the first temporary transient number non-vanishing.Self adaptation calculation apparatus 110 also can comprise a divider 174, is used for a step-length constant μ is temporarily counted divided by first, gets one second and temporarily counts, to carry out normalization.Self adaptation calculation apparatus 110 also can comprise a multiplier 176, is used for the second temporary transient number be multiply by error signal e (n), to get feedback signal f1 (n).Feedback signal f1 (n) is used to adjust filter coefficient.
Fig. 3 is the calcspar of equalizer embodiment 300 of the present invention.This equalizer embodiment 300 comprises aforesaid filter main body 102, arithmetic unit 106 and self adaptation calculation apparatus group 108.This embodiment 300 also can comprise a decision making device 302, a signal generator 304 and a multiplexer 306.Multiplexer 306 suspension control signal CS control, and one of signal that trade-off decision device 302 and signal generator 304 produce is desired signal d (n).Decision making device 302 is used to compare recovering signal y (n) and a plurality of prearranged signalss, and exports one of a plurality of prearranged signalss as the output signal s ' of equalizer 300 (n), and gives multiplexer 306.304 of signal generators are used for directly producing a signal and give multiplexer 306.When training conversion domain adaptive filter 100, can be desired signal d (n) by the signal generator 304 known training signal that produces.Formal when using conversion domain adaptive filter 100, then by the output signal s ' of decision making device 302 decisions (n) as desired signal d (n).
Fig. 4 is the schematic diagram of wireless communication apparatus embodiment 400 of the present invention.This wireless communication apparatus embodiment 400 comprises aforesaid equalizer embodiment 300.
Fig. 5 is that equalization method embodiment is feedback in decision-making of the present invention flow chart.This decision-making back coupling equalization method embodiment comprises the following step.Receive a signal x (n) (step 501), signal x (n) is that an original signal s (n) produces through the passage with a transfer function H (z).Preposition whitened signal x (n) is to produce a whitened signal p (n) (step 503).Step 503 can adopt the Fahrenheit conversion, so also can use discrete fourier conversion (Discrete Fourier Transform, DFT), real number discrete fourier conversion (Real Discrete Fourier Transform, RDFT), discrete hartley conversion (DiscreteHartley Transform, DHT), discrete cosine transform (Discrete Cosine Transform, DCT) and discrete sine conversion (Discrete Sine Transform, DST) or the like.
Then whitened signal p (n) is comprised repeatedly the changes such as decision-making back coupling of iteration, to produce (n) approximate original signal s (n) of an output signal s '.Each repeatedly iteration comprise following three steps.Produce a recovering signal y (n) (step 505).Relatively recovering signal y (n) produces error signal e (n) (step 507) with an expectation signal d (n).And according to error signal e (n) generation feedback signal f (n) (step 509).Wherein feedback signal f (n) multiply by error signal e (n) by a step-length constant μ, and the power divided by whitened signal p (n) produces again.Aforementioned desired signal d (n) can equal original signal s (n), but also mat is compared recovering signal y (n) and a plurality of prearranged signalss, is desired signal d (n) and export one of a plurality of prearranged signalss.
Then comparing recovering signal y (n) and a plurality of prearranged signalss, is s ' (n) (step 511) and export one of a plurality of prearranged signalss.
Above-mentioned explanation is not the restriction to category of the present invention, and the arrangement of above-mentioned explanation and various change and isotropism is all in the category that claim of the present invention is intended to protect.
Claims (29)
1. change domain adaptive filter for one kind, comprise:
One filter main body has a transition matrix device and is used for preposition albefaction one signal, and this filter main body is used to reduce this signal and becomes a recovering signal;
One arithmetic unit, be used for relatively this recovering signal and an expectation signal with an error signal; And
One self adaptation calculation apparatus is used to utilize this error signal to adjust a filter coefficient of this filter main body;
Wherein this self adaptation calculation apparatus adopts a regular least mean square algorithm.
2. conversion domain adaptive filter as claimed in claim 1, wherein this transition matrix device adopts the Fahrenheit conversion.
3. conversion domain adaptive filter as claimed in claim 1, wherein this self adaptation calculation apparatus also utilizes this signal of preposition albefaction to adjust this filter coefficient.
4. conversion domain adaptive filter as claimed in claim 3, wherein this self adaptation calculation apparatus comprises a power calculation unit, is used to calculate a power of this signal of this preposition albefaction.
5. conversion domain adaptive filter as claimed in claim 4, wherein this self adaptation calculation apparatus also comprises an adder, is used for this power is added a predetermined constant, temporarily counts to get one first, and this predetermined constant is used to make this first temporary transient number non-vanishing.
6. conversion domain adaptive filter as claimed in claim 5, wherein this self adaptation calculation apparatus also comprises a divider, be used for a step-length constant first is temporarily counted divided by this, one second temporarily count, to carry out normalization.
7. conversion domain adaptive filter as claimed in claim 6, wherein this self adaptation calculation apparatus also comprises a multiplier, is used for this second temporary transient number be multiply by this error signal, and to get a feedback signal, this feedback signal is used to adjust this filter coefficient.
8. equalizer comprises:
One filter main body has a transition matrix device and is used for preposition albefaction one signal, and this filter main body is used to reduce this signal and becomes a recovering signal.
9. equalizer as claimed in claim 8 also comprises:
One arithmetic unit, be used for relatively this recovering signal and an expectation signal with an error signal; And
One self adaptation calculation apparatus is used to utilize this error signal to adjust a filter coefficient of this filter main body;
Wherein this self adaptation calculation apparatus adopts a regular least mean square algorithm.
10. equalizer as claimed in claim 9, wherein this transition matrix device adopts the Fahrenheit conversion.
11. equalizer as claimed in claim 9 also comprises:
One decision making device is used to compare this recovering signal and a plurality of prearranged signals, and one of these a plurality of prearranged signalss of output are this desired signal.
12. equalizer as claimed in claim 9 also comprises a signal generator, is used to produce this desired signal.
13. equalizer as claimed in claim 9, wherein this self adaptation calculation apparatus also utilizes this signal of preposition albefaction to adjust this filter coefficient.
14. equalizer as claimed in claim 13, wherein this self adaptation calculation apparatus comprises a power calculation unit, is used to calculate a power of this signal of this preposition albefaction.
15. equalizer as claimed in claim 14, wherein this self adaptation calculation apparatus also comprises an adder, is used for this power is added a predetermined constant, temporarily counts to get one first, and this predetermined constant is used to make this first temporary transient number non-vanishing.
16. equalizer as claimed in claim 15, wherein this self adaptation calculation apparatus also comprises a divider, be used for a step-length constant first is temporarily counted divided by this, one second temporarily count, to carry out normalization.
17. equalizer as claimed in claim 16, wherein this self adaptation calculation apparatus also comprises a multiplier, is used for this second temporary transient number be multiply by this error signal, and to get a feedback signal, this feedback signal is used to adjust this filter coefficient.
18. a wireless communication apparatus is characterized in that comprising equalizer as claimed in claim 8.
19. wireless communication apparatus as claimed in claim 18, wherein this equalizer also comprises:
One arithmetic unit, be used for relatively this recovering signal and an expectation signal with an error signal; And
One self adaptation calculation apparatus is used to utilize this error signal to adjust a filter coefficient of this filter main body;
Wherein this self adaptation calculation apparatus adopts a regular least mean square algorithm.
20. wireless communication apparatus as claimed in claim 19, wherein this transition matrix device adopts the Fahrenheit conversion.
21. wireless communication apparatus as claimed in claim 19, wherein this self adaptation calculation apparatus also utilizes this signal of preposition albefaction to adjust this filter coefficient.
22. wireless communication apparatus as claimed in claim 21, wherein this self adaptation calculation apparatus comprises a power calculation unit, is used to calculate a power of this signal of this preposition albefaction.
23. wireless communication apparatus as claimed in claim 22, wherein this self adaptation calculation apparatus also comprises an adder, is used for this power is added a predetermined constant, temporarily counts to get one first, and this predetermined constant is used to make this first temporary transient number non-vanishing.
24. wireless communication apparatus as claimed in claim 23, wherein this self adaptation calculation apparatus also comprises a divider, be used for a step-length constant first is temporarily counted divided by this, one second temporarily count, to carry out normalization.
25. wireless communication apparatus as claimed in claim 24, wherein this self adaptation calculation apparatus also comprises a multiplier, is used for this second temporary transient number be multiply by this error signal, and to get a feedback signal, this feedback signal is used to adjust this filter coefficient.
26. a decision-making back coupling equalization method comprises the following step:
Receive a signal x (n), this signal x (n) is that an original signal s (n) produces through the passage with a transfer function H (z);
This signal of preposition albefaction x (n) is to produce a whitened signal p (n); And
This whitened signal p (n) is comprised repeatedly the changes such as decision-making back coupling of iteration, to produce (n) approximate this original signal s (n) of an output signal s ', each this repeatedly iteration produce a recovering signal y (n), an error signal e (n) and a feedback signal f (n), this error signal e (n) is that relatively this recovering signal y (n) produces with an expectation signal d (n), and this feedback signal f (n) produces according to this error signal e (n);
Wherein this feedback signal f (n) multiply by this error signal e (n) by a step-length constant μ, and the power divided by this whitened signal p (n) produces again.
27. decision-making back coupling equalization method as claimed in claim 26, wherein this preposition albefaction step adopts Fahrenheit conversion.
28. decision-making back coupling equalization method as claimed in claim 26, wherein this desired signal d (n) equals this original signal s (n).
29. decision-making back coupling equalization method as claimed in claim 26, wherein this desired signal d (n) uses down the step generation:
Compare this recovering signal y (n) and a plurality of prearranged signalss, and one of these a plurality of prearranged signalss of output are this desired signal d (n).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2004100334051A CN100428640C (en) | 2004-04-07 | 2004-04-07 | Equating method of filter, balancer, wireless communicating device decision feedback |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2004100334051A CN100428640C (en) | 2004-04-07 | 2004-04-07 | Equating method of filter, balancer, wireless communicating device decision feedback |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1681214A true CN1681214A (en) | 2005-10-12 |
| CN100428640C CN100428640C (en) | 2008-10-22 |
Family
ID=35067665
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNB2004100334051A Expired - Fee Related CN100428640C (en) | 2004-04-07 | 2004-04-07 | Equating method of filter, balancer, wireless communicating device decision feedback |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN100428640C (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104243376A (en) * | 2013-06-19 | 2014-12-24 | 联发科技（新加坡）私人有限公司 | Communications apparatus and related method thereof |
| CN109412640A (en) * | 2018-11-22 | 2019-03-01 | 东南大学 | A kind of non-linear, digital self-interference cancellation element and method applied to full-duplex communication transceiver |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9674008B2 (en) * | 2013-10-31 | 2017-06-06 | Samsung Display Co., Ltd. | Body-biased slicer design for predictive decision feedback equalizers |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SE513657C2 (en) * | 1993-06-24 | 2000-10-16 | Ericsson Telefon Ab L M | Method and apparatus for estimating transmitted symbols of a receiver in digital signal transmission |
| CA2388024C (en) * | 1999-10-19 | 2008-04-15 | Interdigital Technology Corporation | Receiver for multiuser detection of cdma signals |
| US6650716B1 (en) * | 2000-07-24 | 2003-11-18 | Nortel Networks Limited | Space-time receiver structure for digital communication systems |
-
2004
- 2004-04-07 CN CNB2004100334051A patent/CN100428640C/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104243376A (en) * | 2013-06-19 | 2014-12-24 | 联发科技（新加坡）私人有限公司 | Communications apparatus and related method thereof |
| CN104243376B (en) * | 2013-06-19 | 2018-03-23 | 联发科技（新加坡）私人有限公司 | Communicator and associated method |
| CN109412640A (en) * | 2018-11-22 | 2019-03-01 | 东南大学 | A kind of non-linear, digital self-interference cancellation element and method applied to full-duplex communication transceiver |
| CN109412640B (en) * | 2018-11-22 | 2020-06-16 | 东南大学 | Nonlinear digital self-interference elimination device and method applied to full-duplex communication transceiver |
Also Published As
| Publication number | Publication date |
|---|---|
| CN100428640C (en) | 2008-10-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110874631A (en) | Convolutional neural network pruning method based on feature map sparsification | |
| CN110718211B (en) | Keyword recognition system based on hybrid compressed convolutional neural network | |
| CN112786021B (en) | Lightweight neural network voice keyword recognition method based on hierarchical quantization | |
| CN101030383A (en) | Sound source separating device, method, and program | |
| CN106936407B (en) | Frequency domain block least mean square adaptive filtering method | |
| CN101076007A (en) | Method for cancelling interference realized in frequency region and used in WCDMA straight-station system | |
| CN1976224A (en) | Low pass continuous adjustable filter and filtering method | |
| CN111008924A (en) | Image processing method and device, electronic equipment and storage medium | |
| CN114118406A (en) | Quantitative compression method of convolutional neural network | |
| CN1681214A (en) | Equating method of filter, balancer, wireless communicating device decision feedback | |
| CN114219027A (en) | Lightweight time series prediction method based on discrete wavelet transform | |
| CN1909064A (en) | Time-domain blind separating method for in-line natural voice convolution mixing signal | |
| KR102541461B1 (en) | Low power high performance deep-neural-network learning accelerator and acceleration method | |
| CN113780523A (en) | Image processing method, image processing device, terminal equipment and storage medium | |
| CN101958860B (en) | Balance orthogonal multi-wavelet transform-based fuzzy neural network blind equalization method | |
| CN102903104B (en) | Subtractive clustering based rapid image segmentation method | |
| CN107276559B (en) | Multi-constraint FIR digital filter generation method of quantum biophysical evolution mechanism | |
| CN108924076A (en) | A kind of improved TS-PSO-PTS peak-to-average force ratio Restrain measurement of joint in CO-OFDM system | |
| CN113435588A (en) | Convolution kernel grafting method based on deep convolution neural network BN layer scale coefficient | |
| US20050216542A1 (en) | Transform domain adaptive filter, equalizer and wireless communication device using the same, and decision feedback equalization method | |
| CN109901398B (en) | Peak upper limit estimation method of nonlinear system impulse response | |
| CN106530365A (en) | Self-adaptive compressed sensing reconstruction method based on image information content difference | |
| Dennis et al. | A Ferris-Mangasarian technique applied to linear least squares problems | |
| CN114298224A (en) | Image classification method, device and computer readable storage medium | |
| CN114820326B (en) | Efficient single-frame image super-division method based on adjustable kernel sparsification |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20081022 |