Time–frequency analysis

Related lectures (29)

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

Covers the design of wavelets using Fourier transform and procedures for selecting wavelet functions.

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

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.

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

Explores the challenges of analyzing speech signals and the concept of time-frequency tiling.

Covers wavelet analysis and signal representations using orthonormal bases.

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