By Cyrille Chavet, Philippe Coussy

ISBN-10: 331910568X

ISBN-13: 9783319105680

ISBN-10: 3319105698

ISBN-13: 9783319105697

This ebook presents thorough insurance of blunders correcting innovations. It contains crucial simple strategies and the newest advances on key subject matters in layout, implementation, and optimization of hardware/software structures for errors correction. The book’s chapters are written via the world over famous specialists during this box. subject matters comprise evolution of errors correction thoughts, business consumer wishes, architectures, and layout methods for the main complex mistakes correcting codes (Polar Codes, Non-Binary LDPC, Product Codes, etc). This e-book presents entry to fresh effects, and is acceptable for graduate scholars and researchers of arithmetic, laptop technological know-how, and engineering.

• Examines the best way to optimize the structure of layout for errors correcting codes;

• provides errors correction codes from thought to optimized structure for the present and the subsequent iteration standards;

• presents assurance of commercial person wishes complex errors correcting techniques.

Advanced layout for errors Correcting Codes incorporates a foreword via Claude Berrou.

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Extra resources for Advanced Hardware Design for Error Correcting Codes

Example text

As a result, the proposed decoder has an architecture similar to that of a processor. An overall view of this decoder is shown in Fig. 4. Before the decoding process starts, instructions are loaded into the instruction memory. Channel LLR values are loaded into the channel RAM via the channel loader. The controller fetches the first instruction and the decoding process starts. α values are read from α -RAM and channel RAM and written to α -RAM. Similarly, β values are written to and read from β -RAM and the estimated codeword is written to the codeword RAM.

Eu © Springer International Publishing Switzerland 2015 C. Chavet, P. 1007/978-3-319-10569-7__4 47 48 C. Leroux et al. Then, Sect. 4 defines and characterizes all the parallelism levels in TPC decoding. A review of existing architectural solutions is given before the detailed description of a TPC decoder architecture without any interleaving resource. This TPC decoder includes a fully parallel SISO decoder architecture which is also described in detail. Finally, Sect. 7 gives some synthesis results and demonstrates the efficiency of the proposed TPC decoder by comparison with current TPC decoders.

11ad (2010) Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications - Amendment: Enhancements for Very High Throughput in the 60 GHz Band. 11ad-draft 40. Kavcic A, Patapoutian A (2008) The read channel. Proc IEEE 96(11):1761. 2004310 41. Guilloud F, Boutillon E, Danger J (2003) λ -min decoding algorithm of regular and irregular LDPC codes. In: Proceedings of the 3nd international symposium on turbo codes & related topics, Brest, France, pp 451–454 42. Chen J, Dholakia A, Eleftheriou E, Fossorier MPC, Hu XY (2005) Reduced-complexity decoding of LDPC codes.

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Advanced Hardware Design for Error Correcting Codes by Cyrille Chavet, Philippe Coussy

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