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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://www.mathworks.com/matlabcentral/fileexchange/40830-system-identification-using-lms-algorithm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (1.41 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
