Signals & Systems II: Z-Transform and System Analysis

Related lectures (32)

Page 2 of 4

Discusses the sampling theorem and its applications in signal processing.

Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.

Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.

Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.

Explores Z-Transforms, Poles, Zeros, and their applications in discrete-time systems and Linear Time-Invariant systems.

Explains the concept of Region of Convergence (ROC) in signal processing with a focus on single real-valued poles and convergence criteria.

Covers the analysis of LTI communication systems through Fourier transforms and system stability.

Covers linear time invariant systems, focusing on impulse response and convolution.

Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.

Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.