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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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Wavelets are localized basis functions, good for representing short-time events. The coefficients at each scale are filtered and subsampled to give coefficients at the next scale. This is Mallat's pyramid algorithm for multiresolution, connecting wavelets to filter banks. Wavelets and multiscale algorithms for compression and signal/image p
Author(s):
Tag(s):
- mathematics
- discrete-time filters
- convolution
- fourier transform
- owpass and highpass filters
- sampling rate change operations
- upsampling and downsampling
- ractional sampling
- interpolation
- filter banks
- time domain (haar example) and frequency domain
- conditions for alias cancellation and no distortion
- perfect reconstruction
- halfband filters and
File: 18-327-spring-2003.zip
This OER is part of OCW: Wavelets, Filter Banks and Applications
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Inherited Tag(s):
- mathematics
- discrete-time filters
- convolution
- fourier transform
- owpass and highpass filters
- sampling rate change operations
- upsampling and downsampling
- ractional sampling
- interpolation
- filter banks
- time domain (haar example) and frequency domain
- conditions for alias cancellation and no distortion
- perfect reconstruction
- halfband filters and
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