Extrapolation of a sinusoidal signal Using Least Mean Square (LMS)
The code is quite similar to the code that I submitted for mackey glass series prediction (https://www.mathworks.com/matlabcentral/fileexchange/61017-mackey-glass-time-series-prediction-using-least-mean-square--lms-). The main difference is that in testing phase it utilizes the output generated by the filter itself (feedback) to predict next outcome. In this way you can generate data for N future values.
引用
Shujaat Khan (2025). Extrapolation of a sinusoidal signal Using Least Mean Square (LMS) (https://www.mathworks.com/matlabcentral/fileexchange/61174-extrapolation-of-a-sinusoidal-signal-using-least-mean-square-lms), MATLAB Central File Exchange. に取得済み.
MATLAB リリースの互換性
プラットフォームの互換性
Windows macOS Linuxカテゴリ
- Signal Processing > Signal Processing Toolbox > Digital and Analog Filters > Digital Filter Design > Adaptive Filters >
タグ
謝辞
ヒントを得たファイル: Mackey Glass Time Series Prediction Using Least Mean Square, Mackey Glass Time Series Prediction Using Fractional Least Mean Square (FLMS)
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!バージョン | 公開済み | リリース ノート | |
---|---|---|---|
1.0.0.0 |