Lectures related to Designing Convolutional Codes

Covers the introduction of Convolutional Coder, explaining its structure and operation.

Convolutional Codes: Decoding and Eye Diagrams

Covers the decoding process of convolutional codes and the analysis of eye diagrams.

Explores channel coding with a focus on convolutional codes, emphasizing error detection, correction, and decoding processes.

Convolutional Codes: Decoding and Performance Analysis

Covers the decoding and performance analysis of convolutional codes in communication systems.

Convolutional Codes: Mapping Symbols and Paths

Covers Convolutional Codes, focusing on mapping symbols and paths.

Convolutional Codes: Basics and Applications

Explores the basics and applications of convolutional codes in communication systems.

Convolutional Codes: Encoding and Decoding

Explains the encoding and decoding process of convolutional codes using constellation prints.

Channel Coding and BICM (LLRs)

Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.

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.

Error Correction Codes: Theory and Applications

Covers error correction codes theory and applications, emphasizing the importance of minimizing distance for reliable communication.

Binary Coding: Channel Decoding

Explores binary channel decoding and vector spaces in coding theory.

Lecture: Shannon

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

Convolutional Codes: Analysis and Applications

Delves into the analysis and applications of convolutional codes, highlighting the significance of correct implementation for optimal results.

Communication Channels: Encoding and Decoding

Explores encoding and decoding techniques in communication systems, focusing on fundamental limits and mutual information computations.

Signal Constellations: Design and Analysis

Covers the design and analysis of signal constellations in communication systems.

Random Coding: Achievability and Proof Variants

Explores random coding achievability and proof variants in information theory, emphasizing achievable rates and architectural principles.

Error Correction Codes: Decoding and Communication

Explores error correction codes, decoding algorithms, and their role in communication systems.

Information Theory and Coding

Covers expected code word length, Huffman procedure, and entropy in coding theory.

Convolutional Codes & Viterbi Decoder

Covers Convolutional Codes, Viterbi Algorithm, state and branch metric computations, and survivor path length limitations.

Interpolation Spaces

Explores interpolation spaces in Banach spaces, emphasizing real continuous interpolation spaces and the K-method.