Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes - Info and Reading Options
By United States. National Aeronautics and Space Administration.
"Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes" was published by CreateSpace Independent Publishing Platform in 2018, it has 24 pages and the language of the book is English.
“Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes” Metadata:
- Title: ➤ Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes
- Author: ➤ United States. National Aeronautics and Space Administration.
- Language: English
- Number of Pages: 24
- Is Family Friendly: Yes - No Mature Content
- Publisher: ➤ CreateSpace Independent Publishing Platform
- Publish Date: 2018
Edition Specifications:
- Weight: 0.114
Edition Identifiers:
- Google Books ID: O6MjuwEACAAJ
- The Open Library ID: OL56799917M - OL41829181W
- ISBN-13: 9781722916312
- ISBN-10: 1722916311
- All ISBNs: 9781722916312 - 1722916311
AI-generated Review of “Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes”:
Snippets and Summary:
It reduces computational complexity by one-third compared with the Viterbi algorithm. Lin, Shu Goddard Space Flight Center NAG5-931; NAG5-2938.
"Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes" Description:
Google Books:
Decoding algorithms based on the trellis representation of a code (block or convolutional) drastically reduce decoding complexity. The best known and most commonly used trellis-based decoding algorithm is the Viterbi algorithm. It is a maximum likelihood decoding algorithm. Convolutional codes with the Viterbi decoding have been widely used for error control in digital communications over the last two decades. This chapter is concerned with the application of the Viterbi decoding algorithm to linear block codes. First, the Viterbi algorithm is presented. Then, optimum sectionalization of a trellis to minimize the computational complexity of a Viterbi decoder is discussed and an algorithm is presented. Some design issues for IC (integrated circuit) implementation of a Viterbi decoder are considered and discussed. Finally, a new decoding algorithm based on the principle of compare-select-add is presented. This new algorithm can be applied to both block and convolutional codes and is more efficient than the conventional Viterbi algorithm based on the add-compare-select principle. This algorithm is particularly efficient for rate 1/n antipodal convolutional codes and their high-rate punctured codes. It reduces computational complexity by one-third compared with the Viterbi algorithm. Lin, Shu Goddard Space Flight Center NAG5-931; NAG5-2938...
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