Wavelet Design: Fourier Transform

Related lectures (30)

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Covers signal representations using concepts such as Haar wavelets and FIR filters.

Explores wavelets as orthonormal bases for piecewise constant signals over unit intervals.

Covers the properties of signal/data representations using Fourier transformations and matrices.

Explores eigenfaces, DFT, DCT, and wavelet transforms in image processing.

Covers determinantal point processes, sine-process, and their extrapolation in different spaces.

Explores wavelet transforms, multiscale analysis, Haar expansion, and image pyramids in image processing.

Introduces the basics of image processing, covering point and spatial operators, histogram processing, and transform-domain operations.

Explores Haar filterbank, wavelet transforms, and the Wiener filter in image processing.

Explores image pyramids, multiresolution analysis, wavelet transform, filterbanks, and orthogonal wavelet filters.

Covers the concept of signal representations using wavelets and the Haar wavelet.