Flexible Decoder for LDPC Codes
A technique to attain desirable trade-off between performance and complexity
(Sprache: Englisch)
Recent advances in coding theory have uncovered the previously forgottenpower of LDPC codes. Their popularity can be related to their relatively simpleiterative decoders and their potential to achieve high performance. Thesemake them attractive for error...
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Recent advances in coding theory have uncovered the previously forgotten
power of LDPC codes. Their popularity can be related to their relatively simple
iterative decoders and their potential to achieve high performance. These
make them attractive for error correcting application in communication
systems. However, decoding algorithms for LDPC codes have two major
drawbacks. First, the algorithms are not optimal in the presence of short
cycles in Tanner graph structure of the code. Moreover, there is still a need
for a decoding algorithm with low complexity and high performance. This
work aims to solve the above problems by merging Scheduling and Hybrid
techniques. Deterministic schedule is applied with the objective of preserving
the optimality of the algorithms and Hybrid technique is applied on the
improved algorithms to provide desirable complexity/performance trade-off.
The result is a flexible decoder for any available LDPC code and any
combination of decoding algorithms based on the communication systems'
need. This book can be used as a reference by professors, students and
researches doing research in telecom industry in order to develop new
efficient decoding techniques.
Klappentext zu „Flexible Decoder for LDPC Codes “
Recent advances in coding theory have uncovered the previously forgotten power of LDPC codes. Their popularity can be related to their relatively simple iterative decoders and their potential to achieve high performance. These make them attractive for error correcting application in communication systems. However, decoding algorithms for LDPC codes have two major drawbacks. First, the algorithms are not optimal in the presence of short cycles in Tanner graph structure of the code. Moreover, there is still a need for a decoding algorithm with low complexity and high performance. This work aims to solve the above problems by merging Scheduling and Hybrid techniques. Deterministic schedule is applied with the objective of preserving the optimality of the algorithms and Hybrid technique is applied on the improved algorithms to provide desirable complexity/performance trade-off. The result is a flexible decoder for any available LDPC code and any combination of decoding algorithms based on the communication systems' need. This book can be used as a reference by professors, students and researches doing research in telecom industry in order to develop new efficient decoding techniques.
Autoren-Porträt von Nazanin Elhami-Khorasani
Nazanin Elhami-Khorasani,completed her M.A.Sc. Degree inElectrical & Computer Engineering fromConcordia University, Montreal, Canada. She iscurrently working as a System Support Analyst atEricsson Canada Inc. Part of this work waspublished and presented in World WirelessCongress 2007, San Francisco, USA.
Bibliographische Angaben
- Autor: Nazanin Elhami-Khorasani
- 2008, 104 Seiten, Maße: 17 x 24 cm, Kartoniert (TB), Englisch
- Verlag: VDM Verlag Dr. Müller
- ISBN-10: 3836458233
- ISBN-13: 9783836458238
Sprache:
Englisch
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