Filter Classification: Time Domain

Related lectures (32)

Page 3 of 4

Discusses filter design requirements, practical limitations, pros and cons of IIR and FIR filters, and established design methods.

Explores IIR filter implementations, canonical vs. non-canonical forms, stability, DTFT properties, and eigenvectors in LID systems.

Explains how to fit the transmitter spectrum within the channel's bandwidth constraints.

Covers the design and tuning of simple IIR filters for signal processing.

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

Covers the leaky integrator, denoising signals, and its impulse response.

Explores the theory and design of linear phase filters, emphasizing the importance of achieving optimal filter performance.

Explores the applications of Kalman Filtering in control and communication systems, focusing on state estimation and channel estimation.

Explores the frequency sampling method to approximate ideal filters, useful for quick prototyping but lacking fine control over errors.

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