SPECTRAL WHITENING
版本 1.0.0.1 (88.3 KB) 作者:
Dr. Erol Kalkan, P.E.
This function applies whitening to a given signal within user defined frequency band.
FREQUENCY DOMAIN WHITENING OF DISCRETE TIME SIGNAL
The provided function is capable of generating a flat Fourier spectrum for a non-white signal, either across the full frequency range of 0 Hz to the Nyquist frequency, or a frequency band designated by the user. This operation typically results in the sharpening of both the signal and its associated noise.
Whitening is a commonly used technique in ambient vibration data analysis, particularly when stacking waveforms for cross-correlation. The process involves applying a Hann window to the signal, Fourier transforming it, normalizing the magnitude, and finally inverse Fourier transforming it.
Overall, this is a straightforward process that can be applied to improve the quality of signal data.
Syntax:
xnew = whitening(x, Fs, freq, []) for the full range of 0 Hz to the Nyquist frequency
xnew = whitening(x, Fs, freq, [0.1, 20]) for 0.1 Hz to 20 Hz as an example
Input:
x = input signal (x must be a row vector)
Fs = sampling rate (e.g., 200)
freq = frequency limit for whitening in Hz (e.g., freq, [ ] or freq, [0.1, 20])
Output:
xnew = spectrally whitened signal for the full range of 0 Hz to the
Nyquist frequency or within a user defined frequency band
Example: See demo.m file
引用格式
Dr. Erol Kalkan, P.E. (2024). SPECTRAL WHITENING (https://www.mathworks.com/matlabcentral/fileexchange/65345-spectral-whitening), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
创建方式
R2017b
兼容任何版本
平台兼容性
Windows macOS Linux类别
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Discrete Fourier and Cosine Transforms >
在 Help Center 和 MATLAB Answers 中查找有关 Discrete Fourier and Cosine Transforms 的更多信息
标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!