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Srudy On The Identification Method Of Moving Sound Source Based On Compressive Sensing Theory

Posted on:2016-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:P LiuFull Text:PDF
GTID:2428330482976998Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
The problem of compressed sensing has become a hot issue in the world.Compared with the earlier stage,the problem of moving sound source is different.The processing of acoustic signal and image information is the precondition of the realization of the moving sound source identification.At the same time,the compressed sensing theory has opened a new chapter in the field of acoustic signal and image information processing,breaking the limitation of Nyquist's law in signal extraction and collection.The moving sound source identification technology based on the theory of compressed sensing can simplify the acquisition and processing of the sound source information,and reduce the processing time of the hardware operation flow and the background of the acquired signal.Therefore,based on the theory of compressed sensing,it is very important to study the method of sound source identification.(1)Based on the basic principles of the theory of compressed sensing,by thinning treatments on three key issues,namely compressed sensing signal sampling and reconstruction measuring comparative analysis,based on characteristics of moving sound source is given based on the discrete Fourier transform(DFT)and time-varying signal sparse feature matching based tracking methods.(2)Analyzed the movement principles of sound source identification,discusses beamforming identification method for moving sound source characteristics to do a detailed analysis of the common reconstruction algorithm were compared,has been compressed for sports sound field and reconstruction That ROMP reconstruction algorithm.(3)A laboratory test methods for moving sound field reconstruction,introduced the related laboratory equipment used in the experiment are analyzed related system components,testing the experimental procedure used in an array of microphones,and the experimental environment do the testing,set the parameters obtained in this experiment the most suitable array structure,temperature and other factors.(4)in three different experimental methods namely pan instrument sound source identification,LMS Pattern Recognition and compress data for identification LMSreconstruction obtained through data and theoretical analysis,draw conclusions: the reconstruction can be achieved by compression identify the moving sound source.
Keywords/Search Tags:moving sound source, sparse representation, measurement matrix, reconstruction algorithm, identification
PDF Full Text Request
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