Analyze signals using sparse representation in the wavelet domain, using Wavelet Toolbox
|2 Jul 2012||Eshwar||
Wavelet transforms are a mathematical means to perform signal analysis when signal frequency varies over time. For certain classes of signals and images, wavelet analysis provides more precise information about signal data than other signal analysis techniques.
You can perform wavelet analysis in MATLAB® and Wavelet Toolbox™, which lets you compute wavelet transform coefficients. The toolbox includes many wavelet transforms that use wavelet frame representations, such as continuous, discrete, nondecimated, and stationary wavelet transforms.
|wavelet transform; signal processing; sparse representation; wavelets;||Eshwar||2 Jul 2012 at 11:37am|