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  3. Decoding real-field codes by an iterative expectation-maximization (EM) algorithm

Decoding real-field codes by an iterative expectation-maximization (EM) algorithm

Zayyani, H ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ICASSP.2008.4518323
  3. Publisher: 2008
  4. Abstract:
  5. In this paper, a new approach for decoding real-field codes based on finding sparse solutions of underdetermined linear systems is proposed. This algorithm iteratively estimates the positions and the amplitudes of the sparse errors (or noise impulses) using an Expectation-Maximization (EM) algorithm. Iterative estimation of amplitudes is done in the Expectation step (E-step), while iterative estimation of error positions is done in the Maximization step (M-step). Simulation results show 1-2 dB improvement over Linear Programming (LP) which has been previously used for error correction. ©2008 IEEE
  6. Keywords:
  7. Acoustics ; Boolean functions ; Codes (symbols) ; Decoding ; Error analysis ; Error correction ; Linear programming ; Linear systems ; Linearization ; Maximum principle ; Signal processing ; Speech ; Error correcting codes ; Impulsive noise cancelation ; International conferences ; Sparse component analysis ; Sparse decomposition ; Iterative decoding
  8. Source: 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, 31 March 2008 through 4 April 2008 ; 2008 , Pages 3169-3172 ; 15206149 (ISSN) ; 1424414849 (ISBN); 9781424414840 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4518323