Citation
El-Khamy, Mostafa Said (2007) New Approaches to the Analysis and Design of Reed-Solomon Related Codes. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/TQRJ-GM19. https://resolver.caltech.edu/CaltechETD:etd-10102006-120159
Abstract
The research that led to this thesis was inspired by Sudan's breakthrough that demonstrated that Reed-Solomon codes can correct more errors than previously thought. This breakthrough can render the current state-of-the-art Reed-Solomon decoders obsolete. Much of the importance of Reed-Solomon codes stems from their ubiquity and utility. This thesis takes a few steps toward a deeper understanding of Reed-Solomon codes as well as toward the design of efficient algorithms for decoding them.
After studying the binary images of Reed-Solomon codes, we proceeded to analyze their performance under optimum decoding. Moreover, we investigated the performance of Reed-Solomon codes in network scenarios when the code is shared by many users or applications. We proved that Reed-Solomon codes have many more desirable properties. Algebraic soft decoding of Reed-Solomon codes is a class of algorithms that was stirred by Sudan's breakthrough. We developed a mathematical model for algebraic soft decoding. By designing Reed-Solomon decoding algorithms, we showed that algebraic soft decoding can indeed approach the ultimate performance limits of Reed-Solomon codes. We then shifted our attention to products of Reed-Solomon codes. We analyzed the performance of linear product codes in general and Reed-Solomon product codes in particular. Motivated by these results we designed a number of algorithms, based on Sudan's breakthrough, for decoding Reed-Solomon product codes. Lastly, we tackled the problem of analyzing the performance of sphere decoding of lattice codes and linear codes, e.g., Reed-Solomon codes, with an eye on the tradeoff between performance and complexity.
Item Type: | Thesis (Dissertation (Ph.D.)) |
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Subject Keywords: | algebraic soft decoding; error-correcting codes; iterative decoding; list decoding; multiuser; product codes; Reed-Solomon |
Degree Grantor: | California Institute of Technology |
Division: | Engineering and Applied Science |
Major Option: | Electrical Engineering |
Thesis Availability: | Public (worldwide access) |
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Defense Date: | 6 September 2006 |
Record Number: | CaltechETD:etd-10102006-120159 |
Persistent URL: | https://resolver.caltech.edu/CaltechETD:etd-10102006-120159 |
DOI: | 10.7907/TQRJ-GM19 |
Default Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. |
ID Code: | 4016 |
Collection: | CaltechTHESIS |
Deposited By: | Imported from ETD-db |
Deposited On: | 12 Oct 2006 |
Last Modified: | 16 Mar 2020 23:47 |
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