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Wavelet Transformation
- Discrete wavelet transform (DWT) for linear signal processing, multi-resolution analysis
- Compressed approximation: store only a small fraction of the strongest of the wavelet coefficients
- Similar to discrete Fourier transform (DFT), but better lossy compression, localized in space
- Method:
- Length, L, must be an integer power of 2 (padding with 0’s, when necessary)
- Each transform has 2 functions: smoothing, difference
- Applies to pairs of data, resulting in two set of data of length L/2
- Applies two functions recursively, until reaches the desired length
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