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30 results about "Fast ica" patented technology
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Method for rapidly and automatically identifying and removing ocular artifacts in electroencephalogram signal
InactiveCN102697493AImprove signal-to-noise ratioReduce iterative processDiagnostic recording/measuringSensorsElectro oculogramFastica algorithm
The invention provides a method for rapidly and automatically identifying and removing ocular artifacts in an electroencephalogram signal and belongs to the technical field of biological information and the method is mainly applied to a process of acquiring and preprocessing the electroencephalogram signal. The method comprises the following specific steps of: carrying out discrete wavelet transformation on an acquired multi-channel electroencephalogram signal and an electro-oculogram signal to obtain multi-scale wavelet coefficients; using the wavelet coefficients connected in series as an input for analyzing an independent component, and rapidly acquiring the independent component by using a negative entropy criterion-based Fast ICA (Independent Component Analysis) algorithm; identifying the ocular artifacts through a cosine method, performing zero resetting on the independent component, and projecting the other components through ICA inverse transformation and returning to all electrodes of an original signal; and finally obtaining the electroencephalogram signal for removing the ocular artifacts through inversion of the wavelet transformation. By utilizing the method for rapidly and automatically identifying and removing the ocular artifacts in the electroencephalogram signal, the problems that an ICA method is poor in discrete effect and low in convergence rate when beingapplied to noisy electroencephalogram signals are solved, and the function of rapidly and automatically identifying and removing the ocular artifacts in the electroencephalogram signal is realized.
Owner:BEIJING UNIV OF TECH
Method for feature extraction of hydroelectric generating set vibration fault
InactiveCN106895906ASolve the problem that vibration faults are difficult to be accurately identifiedVibration Fault AccurateSubsonic/sonic/ultrasonic wave measurementFeature extractionDecomposition
The invention discloses a method for feature extraction of a hydroelectric generating set vibration fault. The method specifically includes the following steps: 1. using a Fast ICA(fast independent component analysis) method to process an original signal; 2. after Step 1, performing EEMD (ensemble empirical mode decomposition) on y in sequence; 3. after Step 2, calculating normalized energy and a normalized correlation coefficient of all IMFs (intrinsic mode functions) corresponding to y, and giving a corresponding energy threshold T and a system threshold epsilon; 4. after Step 3, selecting IMFs which satisfy requirements of the energy threshold T and the system threshold epsilon among x, taking a union set of the two as final effective IMFs, and performing reconstruction; and 5. after Step 4, finding out characteristic signals capable of representing set vibration from reconstruction signals. The method for feature extraction of a hydroelectric generating set vibration fault applies Fast ICA to feature extraction of hydroelectric generating set vibration signals, and solves the problem that a vibration fault in the hydroelectric generating set is difficult to accurately identify.
Owner:XIAN UNIV OF TECH
Practical method for removing artifacts from online electroencephalograph
InactiveCN107260166ASuper GaussianLarge kurtosisDiagnostic recording/measuringSensorsLinear driftTime domain
The invention relates to a practical method for removing artifacts from online electroencephalograph, and belongs to the technical field of biomedical information processing. The method corrects a down sampling of the reduced channel real-time electroencephalograph signals, a power frequency notch wave and a linear drift, the discrete wavelet transform is used for decomposing the down sampling of the reduced channel electroencephalograph signals into 7 layers, and single channel electroencephalograph signals are converted to multiple channels. The wavelet coefficients are reconstructed and used as inputs to ICA. Fast acquisition of independent components is implemented using Fast ICA algorithm. According to the characteristics of time domain, frequency domain and ordinal correlation of each artifact in the independent component, which is different from the normal electroencephalograph component, hierarchical clustering algorithm is introduced to cluster each independent component, the categories of artifacts are automatically recognized, the artifacts are reconstructed after the zero artifact is zero, and the reconstructed electroencephalograph signals are obtained. The method solves the problem that the prior method cannot automatically identify and remove a variety of conventional electroencephalograph artifacts in the absence of reduced channel.
Owner:KUNMING UNIV OF SCI & TECH
Voice detection method of power equipment failure based on combined similar diagonalizable blind source separation algorithm
InactiveCN104614069ARemove background noiseSubsonic/sonic/ultrasonic wave measurementReference sampleSound sources
The invention discloses a voice detection method of power equipment failure based on a combined similar diagonalizable blind source separation algorithm. The method comprises the specific steps as follows: (1) adopting a microphone array; (2) separating all independent sound source signals from sound signals collected by the microphone array by adopting the combined similar diagonalizable blind source separation algorithm; (3) extracting Mel-MFC (Frequency Cepstral Coefficients) of the independent sound source signals as sound characteristic parameters, and identifying the sound signals through a model matching algorithm, wherein a reference sample template with a minimal matching distance is a result of identifying the operating sound of the power equipment after a sound template to be tested and all reference sample templates are matched. According to the voice detection method provided by the invention, the characteristics of a non-Gaussian source signal can be enhanced, a source signal which is more clear than a Fast ICA (Independent Component Analysis) can be estimated, the similarity coefficients of the separated signal and the source signals are 0.9 or above, the voice frequency audiometry on the separated signals can be carried out, and the signals separated by a JADE algorithm is clear and distinguishable.
Owner:SHANDONG UNIV
Soft separation method of conducted electromagnetic interference noise based on blind signal processing technology
InactiveCN101799494AAchieve separationHigh separation precisionSpectral/fourier analysisElectrical testingFrequency spectrumSignal on
The invention discloses a soft separation method of conducted electromagnetic interference noise based on a blind signal processing technology, belonging to the field of conducted electromagnetic interference noise inhibition. The method comprises the following steps of: carrying out probe frequency spectrum estimation and compensation on two current probes; simultaneously measuring electromagnetic interference noise time domain signals on a live wire and a middle wire of an electronic system by the two current probes and a double-trace oscilloscope; carrying out blind separation on electromagnetic interference noise by utilizing a Fast ICA (Independent Component Analysis) algorithm in a blind signal processing method to obtain a signal source vector estimation value; and finally, judging the property of separation signals based on the maximum cross correlation coefficient of blind separation signals and common mode or differential mode reference signals. The invention overcomes the defects of using a radiofrequency transformer or a power divider to carry out hard separation on common mode noise and differential mode noise, has the advantages of high separation accuracy and favorable practicability, and lowers the cost.
Owner:NANJING UNIV OF POSTS & TELECOMM
Method for detecting a functional signal in retinal images
InactiveUS7222961B2Cancel noiseUnwanted artifactDiagnostics using lightSensorsSpectral bandsPrincipal component analysis
A system and method for detecting a functional signal in retinal images. An optical imaging device comprises a stimulation light source, an interrogating light source, and a detector. The retina is stimulated by the stimulation light source. The retina is then illuminated by an interrogation light, and the reflected intensity from the retina is measured at an interrogating spectral band that indicates the state of hemoglobin saturation before and after visual stimulation. The optical changes that result from retinal neuronal activity are captured by the detector. The signal representing the state of hemoglobin saturation before and after visual stimulation is isolated. In an embodiment of the present invention, this signal is isolated using principle components analysis (PCA). In another embodiment of the present invention, blind source separation (BSS) and independent component analysis (ICA) algorithms such as extended spatial decorrelation and fast-ICA are used to isolate the functional signal from the retinal videos.
Owner:KESTREL CORP
No-reference fuzzy distorted stereo image quality evaluation method
ActiveCN104036502AReduce computational complexityImprove consistencyImage analysisCharacter and pattern recognitionComputation complexityImaging quality
The invention discloses a no-reference fuzzy distorted stereo image quality evaluation method, which comprises the following steps: in a training stage, selecting a plurality of undistorted stereo images and corresponding fuzzy distorted stereo images to form a training image set; then, carrying out a dictionary training operation by a Fast-ICA (independent component analysis) method, and constructing a visual dictionary table of each image in the training image set; constructing the visual quality table of the visual dictionary table of each distorted stereo image by calculating a distance between the visual dictionary table of each undistorted stereo image and the visual dictionary table of each corresponding fuzzy distorted stereo image; in a testing stage, for any one tested stereo image, carrying out non-overlapping partitioning processing to a left sight point image and a right sight point image of the tested stereo image; and according to the constructed visual dictionary table and the constructed visual quality table, obtaining an objective evaluation prediction value of the image quality of the tested stereo image. The no-reference fuzzy distorted stereo image quality evaluation method has the advantages of low computation complexity and good relevance between an objective evaluation result and subjective perception.
Owner:创客帮(山东)科技服务有限公司
Method for objectively evaluating quality of three-dimensional image without reference
ActiveCN104240248AImprove relevanceReduce computational complexityImage analysisPattern recognitionComputation complexity
The invention discloses a method for objectively evaluating the quality of a three-dimensional image without a reference. According to the method for objectively evaluating the quality of the three-dimensional image without the reference, in the training stage, multiple original undistorted three-dimensional images and corresponding distorted three-dimensional images are selected to form a training image set, then dictionary training is conducted according to the Fast-ICA method, so that the visual dictionary table of each image in the training image set is constructed, and visual quality tables corresponding to the visual dictionary tables are constructed by calculating the frequency responses of each pixel point in each original undistorted three-dimensional image and each pixel point in the corresponding distorted three-dimensional image in the training image set under the conditions of different center frequencies and different directional factors; in the testing stage, for the tested three-dimensional image, a predicted objective evaluation value of the quality of the tested three-dimensional image is obtained by calculating the frequency responses of each pixel point in the tested three-dimensional image under the conditions of different center frequencies and different directional factors according to the constructed visual dictionary tables and the constructed visual quality tables. The method for objectively evaluating the quality of the three-dimensional image without the reference has the advantages that calculation complexity is low, and the relevancy between objective evaluation results and subjective sensing is high.
Owner:哈尔滨裕昇科技发展有限公司
High-precision denoising method for a local ultrasonic array signal
ActiveCN109583350AImprove de-drying effectHigh precisionCharacter and pattern recognitionTesting using acoustic measurementsFastICAAlgorithm
The invention discloses a high-precision denoising method for a local ultrasonic array signal, which comprises the following steps of: separating a multi-channel array signal into statistical independent components by using a fast independent component Fast ICA, carrying out autocorrelation analysis on the independent components, and preliminarily eliminating the influence of noise; Further denoising the signal of each channel by using an ensemble empirical mode decomposition (EEMD) algorithm; And recombining the signals subjected to fine denoising to obtain high-precision denoised signals. According to the method, the defects that traditional EMD decomposition can only denoise a single sensor and a single channel signal, and FastICA can only roughly denoise an array signal are overcome, too large direction finding and positioning errors caused by interference of on-site noise signals are avoided, and therefore the ultrasonic array signal denoising effect and the direction finding andpositioning precision are improved.
Owner:JIANGSU FRONTIER ELECTRIC TECH +3
Multi-feature fusion cognitive underwater acoustic communication space-fast time adaptive processing algorithm
ActiveCN108768543AFast convergenceReduce in quantityTransmitter/receiver shaping networksTransmission noise suppressionFrequency spectrumDecomposition
The invention discloses a multi-feature fusion cognitive underwater acoustic communication space-fast time adaptive processing algorithm. The algorithm includes the following steps: introducing an interference feature analysis-based interference cognitive function on the basis of a traditional space-fast time adaptive array processing algorithm; calculating the number of interference sources by using an array covariance matrix feature decomposition mode, and estimating the direction of a target user and the direction of interference incoming waves by adopting a MUSIC spatial spectrum analysismode; separating interference signals by using a negentropy maximized Fast-ICA based blind source separation algorithm, analyzing time domain features by using an envelope detection mode, analyzing the time-frequency spectrum by using a short-time Fourier transform mode, and further extracting interference features to identify interference types; and finally, selecting appropriate interference samples to perform space-fast time adaptive cancellation according to the interference types, and further improving the convergence speed of the adaptive algorithm. The beneficial effects are that: the dimensionality reduction processing and cancellation sample selection of the space-fast time adaptive algorithm can be realized, and the fast and reliable convergence of the space-fast time adaptive processing can be guaranteed.
Owner:HOHAI UNIV
Multi-user period long-short code DS signal pseudo code blindness estimation method
ActiveCN106817326AEliminate the effects ofReduce computational complexityCode division multiplexMulti-frequency code systemsEstimation methodsCorrelation function
The invention discloses a multi-user period long-short code DS signal pseudo code blindness estimation method; the method can model multi-user period long-short code DS signals with complex structures into a blind separation mode according to short spreading code and long scrambling code periods; the method comprises the following steps: using a Fast-ICA algorithm to separate mixed PN sequence segments of all users, and regrouping a fuzzy sequence; using the m sequence shift superposition property, and using a secondary delay phase multiplication to eliminate information code and spreading code influences; combining a cyclotomic coset theory to calculate signal third order correlation functions, thus determining the user mixed PN sequence and third order correlation peak point, using a matrix inclined resolving method to finish scrambling code estimation, and using a segment delay cross correlation method to finish the spreading code estimation after the signals are descrambled. The method can fully utilize the Fast-ICA algorithm and m sequence third order correlation characteristics, thus realizing blind estimation of two pseudo hatted codesof the multi-user period long-short code DS signals.
Owner:HANGZHOU DIANZI UNIV
Magnetic induction cardiopulmonary activity signal separation method based on Fast-ICA method
InactiveCN103536282ARealize simultaneous separation monitoringDiagnostic recording/measuringSensorsWavelet denoisingPhase difference
The invention discloses a magnetic induction cardiopulmonary activity signal separation method based on a Fast-ICA method. The magnetic induction cardiopulmonary activity signal separation method includes the following steps: sending magnetic induction signals of the left chest and the right chest into a 12MHz narrow-band filter to filter the signals to obtain a left chest phase difference signal and a right chest phase difference signal, conducting wavelet denoising on the left chest phase difference signal and the right chest phase difference signal, adopting the independent variable analyzing method (Fast-ICA) to separate a heartbeat signal and a respiratory signal to achieve synchronous monitoring of magnetic induction cardiopulmonary activity.
Owner:ARMY MEDICAL UNIV
Priority constraint colorful image sparse expression restoration method
The invention discloses a priority constraint colorful image sparse expression restoration method. The method comprises steps that step 1, a colorful image is mapped from an RGB color space to a YUV color space, and three-layer component restoration is respectively carried out; step 2, a Fast-ICA algorithm is utilized for training to acquire a complete dictionary; step 3, priority of all edge points of a broken area of a to-be-restored image is calculated, and the restoration priority sequence is determined; step 4, in combination with an SL0 algorithm, sparse reconstruction of the broken block is carried out; and step 5, edge update is carried out, and the step 3 and the step 4 are repeated till image restoration is accomplished. The method is advantaged in that image restoration quality is high, the edge structure after image restoration has relatively good continuity, and image integrity is further kept.
Owner:HANGZHOU DIANZI UNIV
Rotating Machinery Fault Diagnosis Method Based on Fastica-Spectral Kurtosis-Envelope Spectrum Analysis
InactiveCN103575523BEfficient separationEliminate the effects of fault feature extractionMachine part testingFastICAVibration acceleration
The invention provides a rotating machine fault diagnosis method based on Fast ICA-spectrum kurtosis-envelope spectrum analysis. The method includes the steps that (1), an acceleration sensor is used for obtaining vibration acceleration test signals of a rotating machine; (2), the test signals are separated in a decoupling mode by the adoption of a Fast ICA method with negentropy maximized; (3), the spectrum kurtosis of the separated signals is calculated, and the separated signals capable of representing fault information best are screened out; (4), Hilbert envelope spectrum analysis is performed on the selected separated signals; (5), the frequency corresponding to the peak value of an envelope spectrum is compared with the fault character frequency of a bearing, so that a concrete fault is diagnosed. The effectiveness of the method is verified well by the inner ring fault diagnosis of a rolling bearing of the rotating machine, the fault information is obviously increased, the precision of the fault diagnosis is greatly improved, the fault diagnosis method is easy to achieve and good in real-time performance, and it is illustrated that the rotating machine fault diagnosis method has good application prospects.
Owner:HARBIN ENG UNIV
Heart impact artifact signal extraction device and method
InactiveCN105816171AReal-time extractionConvenient for clinical operationDiagnostic recording/measuringSensorsEcg signalSystems design
The invention discloses a heart impact artifact signal extraction device and method, and belongs to the technical field of biomedicine signal processing. The method includes the steps that electrocardiosignals and electroencephalogram signals synchronously collected by EEG-fMRI are transmitted to a heart impact artifact signal extraction module; the heart impact artifact signal extraction module processes the electroencephalogram signals with a fast ICA blind signal processing algorithm based on negentropy and a heart impact artifact signal extraction method with the electrocardiosignals as reference signals, and heart impact artifact signals are obtained through extraction; a signal display module is used for displaying the heart impact artifact signals in real time. The heart impact artifact signal extraction device has the advantages that a lead system is simple in design and convenient to obtain, and the heart impact artifact signal extraction device is capable of extracting the heart impact artifact signals in real time, facilitates clinical application, and is small in size and convenient to carry.
Owner:CHONGQING UNIV
Multi-antenna OFDMA signal decoding method based on rapid and independent component analysis
ActiveCN105429925AIncreased signal energyImprove decoding performanceSpatial transmit diversityMulti-frequency code systemsCyclic prefixCarrier signal
The invention discloses a multi-antenna OFDMA signal decoding method based on rapid and independent component analysis. The method comprises the following steps: step 1, establishing a signal model for meeting the requirement of a rapid and independent component analysis algorithm on an input signal; step 2, conducting PCA whitening on an observation vector under Gaussian noise; step 3, separating a plurality of user information modulated on OFDMA subcarriers without knowing any information about the subcarriers; and step 4, performing subcarrier sequence estimation and OFDMA user identification. According to the method, mathematical statistical modeling is conducted on multi-antenna OFDMA signals based on Fast-ICA, and blind channel estimation and decoding are also performed, so that the signal energy is increased without removing a cyclic prefix, and the decoding performance is improved. Through adoption of the method, timing is not needed at a receiving end, blind separation and decoding are conducted on the OFDMA signals, and the decoding performance is good.
Owner:江苏傲讯达电子科技有限公司
Long-short code estimation method of multi-speed long-short code direct sequence-code division multiple access signal
ActiveCN107547106ASimple methodReduce complexityCode division multiplexTransmissionCode division multiple accessEstimation methods
The invention discloses a long-short code estimation method of a multi-speed long-short code direct sequence-code division multiple access signal. Firstly, according to the largest long scrambling code cycle and the smallest spreading code cycle of a received signal, the received signal is segmented twice to obtain a signal matrix, and according to a Fast-ICA algorithm, complex code fragments of all users are obtained through separation; then, with gradual reducing of information speeds, a user long-short code sequence is estimated, the complex code fragments obtained by separating the Fast-ICA algorithm are spliced to constitute a fuzzy sequence, a secondary delay multiplying method is adopted to remove sequence fuzziness and spreading code interference, and in combination of a cyclotomiccoset and three-order relevant characteristics and according to a characteristic information matching method, long interference code estimation corresponding to all users at the same speed is completed; meanwhile, relevant calculation estimates the short spreading code, and then through a similarity coefficient matrix, all the complex code fragments of the estimated users are removed till long-short code estimation of all the users is completed.
Owner:上海亿人通信终端有限公司
Image encryption and decryption method for utilizing gray system theory to confirm ICA output
ActiveCN103414841AHigh speedSolve the problem of indeterminate orderPictoral communicationPlaintextPrincipal component analysis
The invention provides an image encryption and decryption method for utilizing the gray system theory to confirm ICA output. The method comprises the steps of adopting the symmetric encryption algorithm based on ICA to conduct encryption work; adopting the Fast ICA algorithm to solve figures at the encryption end. If the sequence of encryption output images is not confirmed, using main components to analyze main components of the images, using the component data of the main components as model building data of a gray model, conducting gray association analysis on the images, and conducting Deng-type gray correlation degree calculation so as to obtain the gray correlation degree of the images. Sequences with the largest gray correlation degree are corresponding clear images and decrypted images. Image characteristic extracted through the method are accurate, and characterized data volume is not influenced by image blocks and image patterns, identification data volume is small, the algorithm speed is fast, manual threshold setting is not needed for judgment, and the problem that the decrypted output image sequence is not confirmed is well solved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
FAST-ICA algorithm-based ultrathin plate interference signal separating and processing method during wavelength phase-shifting process
InactiveCN107024186AEnables separate measurementsSolve the problem of overlayUsing optical meansComplex mathematical operationsTime domainPhase shifting algorithm
The present invention relates to a FAST-ICA algorithm-based ultrathin plate interference signal separating and processing method during the wavelength phase-shifting process. According to the technical scheme of the invention, an ultrathin plate interference signal is obtained through the wavelength phase-shifting interference measurement, and then the FAST-ICA algorithm is introduced based on the blind signal separation technology. Through the fast iterative algorithm, interference fringes formed between the front and back surfaces of an ultrathin plate are separated. After that, separated interference fringes are processed through the time-domain phase-shifting algorithm. In this way, the surface shape information of the front and back surfaces of the ultrathin plate is obtained. The method mainly aims to process the stripe graph of the ultrathin plate during the wavelength phase-shifting process. Therefore, the method can be used for separating the information of the front and back surfaces of the ultrathin plate and realizes the separation and the measurement of the surface shapes of the front and back surfaces of the ultrathin plate.
Owner:SHANGHAI UNIV
A no-reference image quality evaluation method based on independent component analysis
PendingCN109840903AImprove consistencyAccuracy High Pearson linear correlation coefficient (PCC) valueImage analysisImaging qualityHash table
The invention discloses a no-reference image quality evaluation method based on independent component analysis. The method comprises the following steps: selecting an image quality block representingimage quality by utilizing spatial correlation of pixel pairs; Using the selected optimal image quality block and adopting a Fast ICA algorithm to obtain detection characteristics of images in an LIVE2 image library, and obtaining independent components of the image quality block according to the characteristics; Establishing a hash lookup table by taking binaryzation of independent components ofan image in LIVE2 as a hash function, wherein each data element of the lookup table comprises judgment data, independent component data and a subjective quality evaluation (DMOS) value; And searchingthe hash table by using binaryzation of independent components of the image to be detected, and performing Hamming distance matching on the conflict item to obtain a no-reference image quality evaluation result. The evaluation result and the DMOS value keep good consistency, and the distortion degree of the image can be measured accurately.
Owner:NANJING UNIV OF INFORMATION SCI & TECH
Fetal electrocardiogram monitoring system based on Android smartphone
The invention provides a fetal electrocardiogram monitoring system based on an Android smartphone so as to achieve home monitoring of the fetal electrocardiogram. The system is composed of a pregnantwoman abdomen three-lead electrocardiogram collector, a fetal electrocardiogram real-time algorithm and Android smartphone software. The circuit of the pregnant woman abdomen three-lead electrocardiogram collector is mainly composed of a low-power-consumption Bluetooth processor Cypress CY8C4247 and a three-lead analog front end ADS1293, and pregnant woman abdomen three-lead electrocardiogram signals are collected by the 24-bit ADS1293, transmitted to the processor CY8C4247 through SPI communication to be processed and then wirelessly sent to the Android smartphone through Bluetooth. The functions of the Android smartphone software include BLE service acquisition, communication connection, Service provision, broadcasting, thread establishment and drawing canvas design, heart rate calculation, electrocardiogram abnormity warning and the like. The fetal electrocardiogram detection algorithm is a fast ICA algorithm with optimized parameters.
Owner:BEIJING UNIV OF TECH
Using gray system theory to determine the image encryption and decryption method output by ica
ActiveCN103414841BHigh speedSolve the problem of indeterminate orderPictoral communicationPlaintextPrincipal component analysis
The invention provides an image encryption and decryption method for utilizing the gray system theory to confirm ICA output. The method comprises the steps of adopting the symmetric encryption algorithm based on ICA to conduct encryption work; adopting the Fast ICA algorithm to solve figures at the encryption end. If the sequence of encryption output images is not confirmed, using main components to analyze main components of the images, using the component data of the main components as model building data of a gray model, conducting gray association analysis on the images, and conducting Deng-type gray correlation degree calculation so as to obtain the gray correlation degree of the images. Sequences with the largest gray correlation degree are corresponding clear images and decrypted images. Image characteristic extracted through the method are accurate, and characterized data volume is not influenced by image blocks and image patterns, identification data volume is small, the algorithm speed is fast, manual threshold setting is not needed for judgment, and the problem that the decrypted output image sequence is not confirmed is well solved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
A Method for Detection and Precise Location of Small Leakage Sources in Pressure Pipelines
ActiveCN106290578BEliminate the effects ofReduce the impactMaterial analysis using acoustic emission techniquesProcessing detected response signalMutual correlationAcoustic emission
The invention discloses a detection and accurate positioning method for a small leak source of a pressure pipe. Acoustic emission leak detection technology is adopted, based on a mutual correlation positioning theory and the characteristics that a quantitative calculation result is high in objectivity and reliability of the theory, a positioning model for detecting a small leak source of a pressure pipe is established. Based on the basis that a collection signal is treated through combination of modal acoustic emission technology and wavelet transform, isolated component analysis technology is introduced, isolation analysis of a positioning signal of the small leak source is achieved through a Fast ICA tool box for fast analysis of isolated components, and a multi-point positioning calculated result with high precision is obtained. According to the method, the effect between small leak source signals is reduced, positioning data for multi-point mall leak source is separated, and positioning for a small leak source of a pressure pipe is accurate.
Owner:CHANGZHOU UNIV +1
An Objective Evaluation Method for Stereoscopic Image Quality Without Reference
ActiveCN104240248BImprove relevanceReduce computational complexityImage analysisComputation complexityImaging quality
Owner:哈尔滨裕昇科技发展有限公司
J-wave detection and classification method based on Q-modulated wavelet transform and high-order cumulants
ActiveCN106650609BMake up for the lack of low detection accuracyCharacter and pattern recognitionCategory attributeJ wave
The invention relates to a J-wave detection and classification method, in particular to a J-wave detection and classification method based on Q-switched wavelet transform and high-order cumulants. The present invention first collects ECG data through an electrocardiograph, obtains two types of normal signal and J wave signal, uses stationary wavelet transform to detect R peak point, and intercepts 128 points after R point as initial data samples. Apply stationary wavelet transform and Q-switched wavelet transform to decompose initial samples and extract feature vectors. Input feature vectors to ensemble C4.5 decision trees. Then extract the feature vector of the test sample according to the above process, input it to the trained integrated C4.5 decision tree, and obtain the category attribute of the test sample. The present invention can more simply and conveniently obtain a feature vector with a lower dimension that is highly representative of the original signal through serial fusion and rapid ICA dimension reduction, and input it to the integrated decision tree classifier, which can be fast and efficient To realize the accurate classification of J wave signal.
Owner:TAIYUAN UNIV OF TECH
Long and short code estimation method for multi-rate long and short code direct spread code division multiple access signals
ActiveCN107547106BEliminate the effects of long scrambling code estimatesImprove estimation performanceCode division multiplexTransmissionEstimation methodsCode division multiple access
The invention discloses a long-short code estimation method of a multi-speed long-short code direct sequence-code division multiple access signal. Firstly, according to the largest long scrambling code cycle and the smallest spreading code cycle of a received signal, the received signal is segmented twice to obtain a signal matrix, and according to a Fast-ICA algorithm, complex code fragments of all users are obtained through separation; then, with gradual reducing of information speeds, a user long-short code sequence is estimated, the complex code fragments obtained by separating the Fast-ICA algorithm are spliced to constitute a fuzzy sequence, a secondary delay multiplying method is adopted to remove sequence fuzziness and spreading code interference, and in combination of a cyclotomiccoset and three-order relevant characteristics and according to a characteristic information matching method, long interference code estimation corresponding to all users at the same speed is completed; meanwhile, relevant calculation estimates the short spreading code, and then through a similarity coefficient matrix, all the complex code fragments of the estimated users are removed till long-short code estimation of all the users is completed.
Owner:上海亿人通信终端有限公司
A No-reference Blurred Distortion Stereo Image Quality Evaluation Method
ActiveCN104036502BReduce computational complexitySuitable for practical applicationsImage analysisCharacter and pattern recognitionComputation complexityImaging quality
The invention discloses a no-reference fuzzy distorted stereo image quality evaluation method, which comprises the following steps: in a training stage, selecting a plurality of undistorted stereo images and corresponding fuzzy distorted stereo images to form a training image set; then, carrying out a dictionary training operation by a Fast-ICA (independent component analysis) method, and constructing a visual dictionary table of each image in the training image set; constructing the visual quality table of the visual dictionary table of each distorted stereo image by calculating a distance between the visual dictionary table of each undistorted stereo image and the visual dictionary table of each corresponding fuzzy distorted stereo image; in a testing stage, for any one tested stereo image, carrying out non-overlapping partitioning processing to a left sight point image and a right sight point image of the tested stereo image; and according to the constructed visual dictionary table and the constructed visual quality table, obtaining an objective evaluation prediction value of the image quality of the tested stereo image. The no-reference fuzzy distorted stereo image quality evaluation method has the advantages of low computation complexity and good relevance between an objective evaluation result and subjective perception.
Owner:创客帮(山东)科技服务有限公司
Method for rapidly and automatically identifying and removing ocular artifacts in electroencephalogram signal
InactiveCN102697493BImprove signal-to-noise ratioReduce iterative processDiagnostic recording/measuringSensorsElectro oculogramFastica algorithm
The invention provides a method for rapidly and automatically identifying and removing ocular artifacts in an electroencephalogram signal and belongs to the technical field of biological information and the method is mainly applied to a process of acquiring and preprocessing the electroencephalogram signal. The method comprises the following specific steps of: carrying out discrete wavelet transformation on an acquired multi-channel electroencephalogram signal and an electro-oculogram signal to obtain multi-scale wavelet coefficients; using the wavelet coefficients connected in series as an input for analyzing an independent component, and rapidly acquiring the independent component by using a negative entropy criterion-based Fast ICA (Independent Component Analysis) algorithm; identifying the ocular artifacts through a cosine method, performing zero resetting on the independent component, and projecting the other components through ICA inverse transformation and returning to all electrodes of an original signal; and finally obtaining the electroencephalogram signal for removing the ocular artifacts through inversion of the wavelet transformation. By utilizing the method for rapidly and automatically identifying and removing the ocular artifacts in the electroencephalogram signal, the problems that an ICA method is poor in discrete effect and low in convergence rate when being applied to noisy electroencephalogram signals are solved, and the function of rapidly and automatically identifying and removing the ocular artifacts in the electroencephalogram signal is realized.
Owner:BEIJING UNIV OF TECH
Unbalanced source positioning method, system and device
The invention discloses an unbalanced source positioning method, system and device. The method comprises the following steps of establishing a negative-sequence Norton equivalent circuit diagram for unbalanced source positioning at a common connection point; acquiring three-phase imbalanced data generated by an upstream side unbalanced load and a downstream side unbalanced load at the common connection point; separating the upstream side impedance and the downstream side impedance in the three-phase imbalanced data through a negative entropy-based Fast ICA algorithm; calculating, according tothe upstream side impedance and the downstream side impedance, an upstream side unbalanced voltage of the upstream side unbalanced load at the common connection point and a downstream side unbalancedvoltage of the downstream side load at the common connection point; and determining the position of a dominant unbalanced source by using the upstream side unbalanced voltage and the downstream side unbalanced voltage. The unbalanced source positioning method provided by the invention can quickly position the dominant unbalanced source, so that staff can take appropriate measures in time for the dominant unbalanced source.
Owner:GUANGDONG POWER GRID CO LTD +1
Magnetic induction cardiopulmonary activity signal separation method based on Fast-ICA method
InactiveCN103536282BRealize simultaneous separation monitoringDiagnostic recording/measuringSensorsWavelet denoisingPhase difference
The invention discloses a magnetic induction cardiopulmonary activity signal separation method based on a Fast-ICA method. The magnetic induction cardiopulmonary activity signal separation method includes the following steps: sending magnetic induction signals of the left chest and the right chest into a 12MHz narrow-band filter to filter the signals to obtain a left chest phase difference signal and a right chest phase difference signal, conducting wavelet denoising on the left chest phase difference signal and the right chest phase difference signal, adopting the independent variable analyzing method (Fast-ICA) to separate a heartbeat signal and a respiratory signal to achieve synchronous monitoring of magnetic induction cardiopulmonary activity.
Owner:ARMY MEDICAL UNIV
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