Statistical Spectrum and Frequency Estimation Examples

版本 1.0.0.0 (597.2 KB) 作者: Ilias Konsoulas
Examples from the M. Hayes' famous book "Statistical Digital Signal Processing and Modeling".
5.0
(2)
1.7K 次下载
更新时间 2017/12/21

查看许可证

Some important classical (non-parametric) and modern (parametric) statistical spectrum and frequency estimation algorithms are demonstrated, reproducing the examples from chapter 8 of M. Hayes book. Namely, the following Methods are exposed:
A) Non-parametric Methods.
i) The Periodogram.
ii) Barlett's Method: Periodogram Averaging.
iii) Welch's Method: Averaging Modified Periodograms.
iv) Blackman-Tukey Method: Periodogram Smoothing.
B) Parametric Methods.
i) The Autocorrelation Method.
ii) The Covariance Method.
iii) The Modified Covariance Method.
iv) The Burg Algorithm.

C) Frequency Estimation.
i) Pisarenko Harmonic Decomposition (PHD).
ii) Multiple Signal Classification (MUSIC).
iii) The Eigenvector Method.
iv) The Minimum Norm Algorithm.

引用格式

Ilias Konsoulas (2024). Statistical Spectrum and Frequency Estimation Examples (https://www.mathworks.com/matlabcentral/fileexchange/57772-statistical-spectrum-and-frequency-estimation-examples), MATLAB Central File Exchange. 检索来源 .

MATLAB 版本兼容性
创建方式 R2011b
兼容任何版本
平台兼容性
Windows macOS Linux
类别
在 Help Center 和 MATLAB Answers 中查找有关 AI for Signals 的更多信息

Community Treasure Hunt

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

Start Hunting!

Examples/html/

版本 已发布 发行说明
1.0.0.0

Corrected some x-axis inconsistencies. No all x-axis frequency variables are in units of pi.

I have updated the link to M. Hayes .m scripts necessary to run these examples.
I improved the appearance of code and figure rendering.