System Identification using LMS algorithm
Version 1.0.0.0 (1.41 KB) by
mano49j
To identify a unknown sytem with an FIR filter
If u know the inputs and outputs of an unknown system, the u can identify the system with an FIR filter.
Make the input range between [-0.5 0.5] and find its corresponding responses.
Here in the program, we are assuming a system and finding its response. Using the outputs and inputs of the above assumed system we will estimate a system.
The goal is achieved if the corresponding assumed and estimated systems coefficents are same.
Cite As
mano49j (2026). System Identification using LMS algorithm (https://in.mathworks.com/matlabcentral/fileexchange/40830-system-identification-using-lms-algorithm), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2010a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- Control Systems > System Identification Toolbox >
- Control Systems > System Identification Toolbox > Linear Model Identification >
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 |
