Lectures related to Minimum Distance Decoding

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

Explains Reed-Solomon error-correcting codes and their unique decoding property over finite fields.

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

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