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.
引用格式
mano49j (2026). System Identification using LMS algorithm (https://ww2.mathworks.cn/matlabcentral/fileexchange/40830-system-identification-using-lms-algorithm), MATLAB Central File Exchange. 检索时间: .
| 版本 | 已发布 | 发行说明 | Action |
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| 1.0.0.0 |
