Lecture

Filter Classification: Frequency Domain

Description

This lecture discusses the classification of filters based on their magnitude and phase responses in the frequency domain. Filters are categorized as low pass, high pass, band pass, or all pass filters, depending on how they affect different frequency components. The classification is related to the discrete time Fourier transform and helps understand the behavior of filters in signal processing applications.

In MOOCs (4)

Basic signal processing concepts, Fourier analysis and filters. This module can be used as a starting point or a basic refresher in elementary DSP

Adaptive signal processing, A/D and D/A. This module provides the basic tools for adaptive filtering and a solid mathematical framework for sampling and quantization

Advanced topics: this module covers real-time audio processing (with examples on a hardware board), image processing and communication system design.

Instructors (3)

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Official source

https://mediaspace.epfl.ch/media/0_scacrd2i

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Ontological neighbourhood

Information engineering

Signal processing: Filtering theory

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