Digital Filtering Fundamentals

Related lectures (32)

Page 1 of 4

Covers signal processing with digital filters and embedded systems, focusing on practical applications.

Covers the design and implementation of active filters, focusing on second-order and high-order realizations.

Covers Chebyshev polynomials, all-pole filter design, RLC filters, and active-RC and OTA-C filter implementations.

Explores linear phase filters, rise time, Gaussian filters, and rational transfer functions.

Explores moving average and exponential filters, Gaussian filtering, and linear scale-space concepts in image processing.

Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.

Covers digital RII filters, elliptical and Chebyshev filters, frequency transformations, and filter realization.

Explores the synthesis of digital filters from analog filters using the bilinear transformation method and Chebyshev's criterion.

Explores digital Butterworth filter design, covering scaling, stable poles, and filter application.

Explores analog filters, rational transfer functions, and stability analysis of causal systems.