Lecture
Filter Design: IIR Types
Description
This lecture covers the design of Infinite Impulse Response (IIR) filters, which were developed long before digital processing. It explains the conversion of analog designs into rational transfer functions, with the help of numerical packages like Matlab. The lecture details the design of Butterworth, Chebyshev, and Elliptic lowpass filters, discussing their magnitude responses, design parameters, and test values for order, cutoff frequency, and errors. Examples are provided for each filter type to illustrate the design process.
In MOOCs (4)
Digital Signal Processing I
Basic signal processing concepts, Fourier analysis and filters. This module can
be used as a starting point or a basic refresher in elementary DSP
Digital Signal Processing II
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
Digital Signal Processing III
Advanced topics: this module covers real-time audio processing (with
examples on a hardware board), image processing and communication system design.
Digital Signal Processing IV
Advanced topics: this module covers real-time audio processing (with
examples on a hardware board), image processing and communication system design.
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