Wavelet based band pass

1 次查看（过去 30 天）
kalarmago
kalarmago 2020-4-23
编辑： kalarmago 2020-4-23
I read that wavelets are better for signal analysis in time-frequency. I saw that cwt() and icwt() can be used as band pass filters. For instance,
normal = %is a 1-D sequence data
fs = 300;
[wt,f] = cwt(normal, fs);
y1 = icwt(wt,f,[50 100],'SignalMean',mean(normal)); % bandpass between 50 to 100 Hz
However, this results is slighty diffent than the results from bandpass(),
x2 = bandpass(normal,[50 100], fs);% bandpass between 50 to 100 Hz
In my research, I have to work with EEG bandpassed signals to build a high precision detector of abnormalities. Since I am new in signal processing I have doubts about these functions. Can someone explain/suggest me?

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Continuous Wavelet Transforms 的更多信息

标签

产品


版本

R2019b

Community Treasure Hunt

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

Start Hunting!

Translated by