This document discusses spectral analysis in Matlab, including power spectral density, mean-square spectrum, and pseudospectrum estimators. It also covers using the fdatool tool for spectral analysis and designing filters. Finally, it briefly introduces Fourier analysis and decomposing signals into constituent frequencies, and provides a link to additional self-help tutorials on data mining tools.

1. Matlab:Spectral, Fourier and Filter-bank analysis

2. Spectral Analysis algorithms

3. Spectral EstimatorsPower spectral density (psd) measures power per unit of frequency and has power/frequency units.Mean-square (power) spectrum (msspectrum) measures power at a specific frequency.Pseudospectrum (pseudospectrum) returns a pseudo spectrum that does not have any units.

4. Using ‘fdatool’ for spectral analysisType ‘fdatool’ in the matlab command window.

5. Using ‘fdatool’ for spectral analysisUse the following settings:

6. Using ‘fdatool’ for spectral analysisSelect the ‘design filter ‘ option and wait till the filter is designed ..

7. Fourier analysisFourier analysis breaks down a signal into constituent sinusoids of different frequencies.

8. Visit more self help tutorialsPick a tutorial of your choice and browse through it at your own pace.The tutorials section is free, self-guiding and will not involve any additional support.Visit us at www.dataminingtools.net