Cosine and Wavelet Transform
- Discrete Cosine Transform (DCT)
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Uses just functions.
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We modify the input signal to make it even so that the coefficients turn into zeroes.
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We don’t use complex numbers anymore, but we also lose some of the nice properties of the transform.
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Good tool for compression, not so much for signal analysis.
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Fast DCT (F-DCT) — uses FDFT under the hood.
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Coefficients are divided into "DC" (zero frequency) and "AC" (other frequencies).
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- DCT in 2D
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- Wavelet transform (WT)
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Uses wavelets — functions with a peak at zero and brief, diminishing oscillations.
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Parametrized both by frequency and time.
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Compared to FT, which captures global frequency information, WT provides temporal information as well.
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- Discrete Wavelet transform (DWT)
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First DWT invented by Alfréd Haar. Haar wavelets are the most educational. TODO
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