Signal Representations

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Related lectures (32)

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Signal Representations

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

Signal Representations

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

Wavelet Design: Fourier Transform

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

Image Processing II: Wavelet Transform and Multiresolution Analysis

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

Image Processing II: Haar Filterbank and Wavelet Transforms

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

Image Processing II: Multiresolution Analysis and Wavelet Transform

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

Time-frequency tiling

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

Signal Representations: Wavelet Analysis

Covers wavelet analysis and signal representations using orthonormal bases.

Image Processing II: Optimal Transforms and Applications

Explores optimal transforms, image applications, linear algebra, and 2nd-order statistics in image processing.

JPEG 2000: Image Compression

Explores image compression principles, focusing on JPEG 2000, covering transform-based coding, quantization, entropy coding, region of interest, error resilience, and software implementations.