Signal Representations

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Description

This lecture covers the concept of signal representations using wavelets, focusing on multiresolution analysis and the Haar wavelet. The slides discuss the scaling and shifting of signals, tiling of frequencies, and the integration of signals.

Instructors (2)

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Official source

Ontological neighbourhood

Information engineering

Signal processing: Time–frequency analysis

Related lectures (32)

https://mediaspace.epfl.ch/media/0_eawufh39

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Instructors (2)

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Ontological neighbourhood

Information engineering

Signal processing: Time–frequency analysis

Related lectures (32)

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.