Lectures related to Channel capacity

Multi-user Gaussian Channels with Noisy Feedback

Delves into challenges and opportunities of multi-user Gaussian channels with noisy feedback, presenting a new mathematical framework.

Information Coding: Source, Cryptography, Channel

Covers source coding, cryptography, and channel coding for communication systems.

Secret Key Generation: Polar Coding

Explores secret key generation using polar coding for short blocklengths, discussing key capacity, rate-leakage pairs, and practical implementation.

Information Theory: Source Coding, Cryptography, Channel Coding

Covers source coding, cryptography, and channel coding in communication systems, exploring entropy, codes, error channels, and future related courses.

Lecture: Shannon

Covers the basics of information theory, focusing on Shannon's setting and channel transmission.

Information Theory: Source Coding & Channel Coding

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

Information Theoretic Security: Wiretap Channel

Explores secret key generation in the Wiretap Channel model and achievable key rate-leakage pairs.

PAM and QAM: Basics and Error Analysis

Explores the basics of PAM and QAM, error analysis, and throughput determination.

Channel Coding: Theory & Coding

Covers the formation theory and coding, focusing on channel capacity and concave functions.

Memory Hierarchy: Operating Principles

Explores memory hierarchy principles, block sizes impact, latency, and throughput.

Error Correction Codes: Basics

Introduces erasure and error channels, Hamming distance, and error correction codes.

Error-Correction Codes: Introduction

Covers the final review of Crypto, error-correction codes, and channel models.

Communication Channels: Gaussian Noise and Capacity

Explores the capacity of communication channels with Gaussian noise and noise impact.

Coding Theorem: Proof and Properties

Covers the proof and properties of the coding theorem, focusing on maximizing the properties of lx and the achievable rate.

Wireless Channel: Modulation and Noise

Explores wireless modulation, noise effects, multipath propagation, and channel characteristics in wireless communication.

Design Example

Covers the design of a practical system to send data over a telephone channel.

Binary Coding: Channel Decoding

Explores binary channel decoding and vector spaces in coding theory.

Information Theory Basics

Introduces information theory basics, including entropy, independence, and binary entropy function.

Minimum Distance Decoding

Explains Minimum Distance (MD) decoding on erasure channels with illustrative examples.

Achievable Rate & Capacity Log in to Mediaspace to watch this video

Explores achievable rate, channel capacity, spectral efficiency, and fading channels in wireless communication systems.