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| File Information |
| Description |
RLS is one of the great adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of RLS algorithm. The weights of the estimated system is nearly identical with the real one.A reference is used to write the algorithm. |
| Acknowledgements |
This submission has inspired the following:
NLMS Algorithm Demo, Recursive Least Square Identification without Noise
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| MATLAB release |
MATLAB 6.0 (R12)
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| Other requirements |
The sample data is created by the use of control system toolbox but it can easily created by any way else |
| Zip File Content |
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| Other Files |
Readme.txt, FIRsampledata, IIRsampledata, FIR_rls.m, IIR_rls.m
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| Comments and Ratings (28) |
| 30 May 2002 |
Mark Jack
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| 17 Dec 2003 |
vamshi krishna
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| 06 Feb 2004 |
Fu-Sung Wang
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| 06 Feb 2004 |
Rob Kron
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| 25 Mar 2004 |
Saeed Beyty
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| 07 Dec 2004 |
Ganapathy samy
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| 08 Feb 2005 |
prabodh sahoo
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| 26 May 2005 |
ert ert
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| 10 Oct 2005 |
Tu Li
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| 08 Nov 2005 |
Raghuveer Allamneni
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| 02 Dec 2005 |
Ahmad Firdaus Abdul Jalil
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| 27 Dec 2005 |
Mangampu Silaban
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| 16 Jul 2006 |
AHLEM KADEM
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| 17 Oct 2006 |
Travis Wiens
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| 21 Dec 2006 |
Atique Malik
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| 01 Feb 2007 |
Jin Kwan Kim
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| 07 Jun 2007 |
koray ozkan
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| 09 Jun 2007 |
koray ozkan
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| 22 Aug 2007 |
bahrul agus
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| 21 Oct 2007 |
joe helmy
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| 08 Nov 2007 |
Ko Moray
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| 12 Nov 2007 |
Peyman Bagheri
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| 09 Dec 2007 |
Peyman Gholami
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| 02 Feb 2008 |
a b
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| 07 Feb 2008 |
Peter van den Bosch
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| 11 Apr 2008 |
hai YEN
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| 03 May 2008 |
raja sohrab
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| 12 May 2008 |
raja sohrab
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| Updates |
| 31 Oct 2003 |
Version 1.1 :
1- Two different demos one with FIR ( Feedback is used) and the other with IIR ( the input signal only is used)
2- No dependency on "Control System Toolbox" by adding sample data files |
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