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      • Department of Electrical and Electronics Engineering
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      Real time noise-cancellation using ICA, PSO and PE

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      Author(s)
      Bor, R. İrem
      Ider, Y. Ziya
      Arıkan, Orhan
      Ertan, Erdem
      Date
      2012
      Source Title
      2012 20th Signal Processing and Communications Applications Conference (SIU)
      Print ISSN
      2165-0608
      Publisher
      IEEE
      Language
      Turkish
      Type
      Conference Paper
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      Abstract
      In order to provide noiseless transmission of speech in wireless communication systems a real-time implementable noise cancellation algorithm is developed. Speech and noise sources are not known but only their mixtures are observed. That system is modeled with instantaneous mixture model. Combination of independent component analysis (ICA) and particle swarm optimization (PSO) algorithms is used to separate speech and noise. However, ICA has an ambiguity such that it is not possible to know which one of the separated signals is speech or noise. As a result, the transmitted signal can be noise, instead of speech. To overcome this ambiguity problem, a pitch extraction (PE) algorithm is developed and combined with ICA-PSO. ICAPSO-PE algorithm is implemented in MATLAB. Contributions of this work are modifying objective functions of ICA algorithm to make them more robust, combining ICA with PSO to make it work fast and robust, and overcoming the ambiguity problem using PE algorithm. © 2012 IEEE.
      Keywords
      ICA algorithms
      Instantaneous mixtures
      Noise source
      Noise-cancellation algorithms
      Objective functions
      Particle swarm optimization algorithm
      Pitch extraction
      Real time
      Transmitted signal
      Wireless communication system
      Algorithms
      Independent component analysis
      Particle swarm optimization (PSO)
      Separation
      Signal processing
      Speech communication
      Speech transmission
      Permalink
      http://hdl.handle.net/11693/28182
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2012.6204671
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      • Department of Electrical and Electronics Engineering 3868
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