1 October 2011 A simulator for depicting and comparing adaptive algorithms in signal processing
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Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82854U (2011) https://doi.org/10.1117/12.913358
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
Abstract
In real time applications signal characteristic and signal noise cannot be determined and predicted which makes very hard while designing digital filters for noise suppression. To outstrip these problem adaptive filters are preferable in which filter coefficients are designed based on the situation by using adaptive algorithms. In this paper a simulator containing adaptive algorithms(Least Mean Square(LMS), Normalized Least Mean Square(NLMS), Recursive Least Square(RLS) , Signed Least Mean Square(SLMS), Signed Normalized Least Mean Square(SNLMS)) using different applications was developed in MATLAB using Graphical User Interphone(GUI). Performance of all algorithms had been observed and some of the results obtained for different applications had been depicted by using real time noise corrupted voice signal. This proposed simulator helps the end user for depicting and comparing adaptive algorithms for real time applications. Pros and cons of each algorithm are observed manually without any motive of mathematical and paper results.
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Sainath Maddala, Sainath Maddala, Sandeep Kumar Reddy B, Sandeep Kumar Reddy B, } "A simulator for depicting and comparing adaptive algorithms in signal processing", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82854U (1 October 2011); doi: 10.1117/12.913358; https://doi.org/10.1117/12.913358
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