GEL7114 - Module 5.9 - Decoding a convolutional code with the Viterbi algorithm - MLSE скачать в хорошем качестве

GEL7114 - Module 5.9 - Decoding a convolutional code with the Viterbi algorithm - MLSE

Public webpage for this course's resources (exams, slides, exercises): https://wcours.gel.ulaval.ca/GEL7114/ GEL7114 Digital Communications Leslie A. Rusch Université Laval ECE Dept. Module 5 introduces the concept of error correcting codes to improve system performance. These solutions are extremely effective, but require additional complexity and some bandwidth efficiency trade-offs. As an example, we introduce convolutional code fundamentals. PartA of module 5 is an introduction and motivation for the use of forward error correction (FEC). We focus on the role of coding and basic parity-based protection. We introduce several metrics for FECs. PartB of Module 5 examines convolutional coding. Detailed descriptions of the convolutional encoder are provided, with varied encoder representations (e.g., finite-state models, trellis diagrams), and decoding principles using the Viterbi algorithm. PartC of Module 5 examines the Viterbi decoder in some detail. We cover convolutional decoding topics (complexity, free distance, coding gain), plus additional tools and examples.