Journal of Jilin University(Information Science Ed ›› 2016, Vol. 34 ›› Issue (4): 491-495.

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Blind Compressed Sensing Reconstruction of Speech Signal Based on Block Diagonal Structure

CHEN Ying, ZHONG Fei, GUO Shuxu, CHEN Xiaojun   

  1. 1. College of Electronic Science and Engineering, Jilin University, Changchun 130012, China;
    2. College of Electronic and Information Engineering, Changchun Institute of Technology, Changchun 130012, China;
    3. Instructor Training Base, Aviation University Air Force, Changchun 130062, China
  • Received:2016-01-18 Online:2016-07-25 Published:2017-01-16

Abstract: In order to improve the reconstruction accuracy of the speech signal in the complex environment, the reconstruction method based on orthonormal block diagonal blind compressed sensing theory is proposed, the method finds a pair of matrices by optimal solving, to reconstruct the speech signal. The algorithm takes on higher adaptability; ensures blind compressed sensing theory having a unique solution and can restore the original speech signal in a complex environment. The method ensures sound effects, and greatly reduces the observation dimension. Experimental result shows that blind the compressed sensing based on OBD-BCS (Orthogonal Block Diagonal Blind Compressed Sensing) structure algorithm can achieve high-quality reconstruction of a speech signal.

Key words: signal reconstruction, blind compressed sensing, orthogonal block diagonal, speech signal

CLC Number: 

  • TN912. 3