Lectures related to TI-89 series

Covers source coding, injective codes, prefix-free codes, and Kraft's inequality.

Covers the Universal Compression using the Lempel-Ziv method and demonstrates its superiority over other methods.

Explores entropy in information theory and its role in data processing and probability distributions.

Covers continuous-time Markov chains and Kolmogorov equations in stochastic communication models.

Covers the equations of Kolmogorov for continuous-time Markov chains.

Covers the fundamentals of information theory, focusing on source coding and channel coding.

Covers stochastic models for communications, focusing on discrete-time Markov chains.