LTI Systems: Analysis and Properties

Related lectures (32)

Page 3 of 4

Explores Z-transform, system properties, and analysis of discrete systems, focusing on stability and transfer functions.

Discusses the sampling theorem and its applications in signal processing.

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

Explores noise reduction techniques in electrical metrology, covering properties of charge, current, voltage, noise sources, and filtering methods.

Explains the Nyquist rate and Sampling Theorem for reconstructing band-limited signals through examples and sampling techniques.

Covers the fundamentals of A/D and D/A conversion techniques and their implementation.

Explores resonance, pole-zero effects, filter synthesis, and Butterworth filter properties.

Covers oversampled analog-to-digital conversion and its impact on signal-to-noise ratio.

Discusses memory cache organization and signal filtering techniques using a moving average filter to recover desired signals.

Covers frequency selective filters, focusing on a simple low-pass filter example and its practical applications.