Recursive Least Squares Filter

Versione 1.4.0.0 (4,88 KB) da Ryan Fuller
Implementation of RLS filter for noise reduction.
4.3
(12)
4,5K download
Aggiornato 20 giu 2012

Visualizza la licenza

[e,w]=RLSFilterIt(n,x,fs) is an implementation of the RLS filter for noise reduction. Argument n is the interference signal, while x is the desired signal corrupted by the noise interference. Argument fs is the sampling frequency of the inputs, n and x. Additionally, parameters e and w are the filtered signal and filter coefficients, respectively. The program follows the notation used in Haykin's 'Adaptive Filter Theory' from 2002.

The function includes a simple example that removes additive white noise from a sine tone, and the SNR of the tone to the noise can be adjusted to examine the performance of the filter. Input signals can also be provided.

The code is well commented, and I would appreciate any feedback and constructive criticism. Thanks

Cita come

Ryan Fuller (2025). Recursive Least Squares Filter (https://it.mathworks.com/matlabcentral/fileexchange/36858-recursive-least-squares-filter), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R10
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Tag Aggiungi tag

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

RLSFilterIt/

Versione Pubblicato Note della release
1.4.0.0

Removed extra license file.
1.3.0.0

Updated file with description of function arguments and output parameters.
1.1.0.0

Included description of arguments.
1.0.0.0