Wavelet Toolbox™ provides functions and an app for developing wavelet-based algorithms for the analysis, synthesis, denoising, and compression of signals and images.
The toolbox lets you explore wavelet properties and applications such as speech and audio processing, image and video processing, biomedical imaging, and 1-D and 2-D applications in communications and geophysics.
Real and complex-valued wavelets, subband coding, lifting, wavelet design
1-D and 2-D CWT, inverse 1-D CWT, multiscale signal analysis, scalogram, wavelet cross-spectrum and coherence
Dyadic scale decimated and nondecimated transforms, lifting transforms, multisignal analysis
1-D and 2-D transforms, wavelet packet spectrum, optimal wavelet packet tree, best level analysis
Wavelet shrinkage, nonparametric regression, block thresholding, multisignal thresholding
Wavelet spatial orientation tree, SPIHT, EZW, WDR, AWDR, matching pursuit