Paper
1 October 2011 A simulator for depicting and comparing adaptive algorithms in signal processing
Sainath Maddala, Sandeep Kumar Reddy B
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sainath Maddala and 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); https://doi.org/10.1117/12.913358
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Digital filtering

Interference (communication)

Computer simulations

System identification

Electronic filtering

Signal processing

Filtering (signal processing)

Back to Top