Code covered by the BSD License
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[W,e]=rls1(x,d,N,delta,lambda...
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nlms1(x,d,N,mu,alpha,I,Wini,X...
x-reference input, here the reference to noise, 'n1'
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nlms2(ol,x,d,N,mu,alpha,Wini,...
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rls2(ol,x,d,N,delta,lambda,Wi...
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View all files
Adaptive Filter
by Salai Selvam V
07 Nov 2009
(Updated 10 Nov 2011)
Adaptive Filter implementation using nlms & rls algorithms.
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| File Information |
| Description |
This zipped file contains two folders: nlms & rls. nlms contains matlab m files implementing normalized least mean square algorithm and a matlab mat file with 1 cycle ecg wave: pure, noised and random noise and rls contains matlab m files implementing recursive least square algorithm and a matlab mat file with 1 cycle ecg wave: pure, noised and random noise. Ref: Adaptive Filter Theory by Simon Heykins. Please feel free to contact me for any clarification: vsalaiselvam@yahoo.com. I am happy to share my knowledge and my lecture notes as well. Thank you. |
| MATLAB release |
MATLAB 7 (R14)
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| Other requirements |
This is highly compatible with all versions of matlab from ver 4 onwards and octave ( a free matlab alternate) |
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| Updates |
| 12 Mar 2010 |
Help for m-files has been added. |
| 14 Mar 2010 |
Help to nlms1.m & nlms2.m has been added and tips to dynamically update mu for every iteration has been added. |
| 10 Nov 2011 |
Help to use the m files has been added |
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