Signals & Systems I: Fourier Transformation and Distributions

Related lectures (30)

Page 2 of 3

Discusses mutual information, data processing inequality, and properties related to leakage in discrete systems.

Covers the concepts of compression and prediction using prefix-free codes and distributions.

Covers probability distributions, moments, and continuous random variables.

Covers distributions, linear systems, impulse response, convolution, and examples of linear systems.

Introduces probability theory, random variables, and distributions, with a focus on their applications in atomic diffusion.

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Covers Green's representation formula, fundamental solutions, and distribution properties.

Discusses distributions, the Laplace transform, and their applications in mathematical analysis.

Explores proof ideas related to the cut-off phenomenon and its implications in random walks on hypercubes.

Covers fundamental statistics concepts, including estimation theory, distributions, and the law of large numbers, with practical examples.