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By Cyrille Chavet, Philippe Coussy

ISBN-10: 331910568X

ISBN-13: 9783319105680

ISBN-10: 3319105698

ISBN-13: 9783319105697

This e-book offers thorough insurance of errors correcting innovations. It comprises crucial simple innovations and the newest advances on key issues in layout, implementation, and optimization of hardware/software platforms for errors correction. The book’s chapters are written via the world over well-known specialists during this box. subject matters comprise evolution of mistakes correction recommendations, business consumer wishes, architectures, and layout ways for the main complex errors correcting codes (Polar Codes, Non-Binary LDPC, Product Codes, etc). This booklet presents entry to contemporary effects, and is appropriate for graduate scholars and researchers of arithmetic, laptop technological know-how, and engineering.

• Examines how you can optimize the structure of layout for errors correcting codes;

• provides errors correction codes from concept to optimized structure for the present and the following new release standards;

• offers insurance of business person wishes complex blunders correcting techniques.

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

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Extra info for Advanced Hardware Design for Error Correcting Codes

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In [32] an LTE compatible turbo code decoder was presented which used all the aforementioned techniques. 15 Gbit/s on a 65 nm CMOS bulk technology under worst case PVT parameters. It uses 32 MAP engines with radix-4, next iteration initialization and no sliding window but re-computation. 4. 4 High Throughput Architectures for Low Density Parity Check Decoders As discussed in Sect. 3, turbo code based systems cannot provide data rates in the order of several hundred Gigabits per second. For these applications LDPC codes are the best choice.

9 depicts the high-level structure of such a decoder. However in general it is not advisable to build this architecture as it has a serious drawback which is directly related with the two networks between VNs and CNs. Dependent on the code length and quantization, each of them comprises between several thousands and hundred thousands of wires which have to be routed according to the parity check matrix. To achieve a good communications performance, parity check matrices have long cycles and thus no locality, resulting in massive routing congestion.

In: 2012 IEEE International Conference on Communications (ICC), pp 3471–3475 6. Hussami N, Urbanke R, Korada SB (2009) Performance of polar codes for channel and source coding. In: Proceedings of the IEEE international symposium on information theory ISIT 2009, pp 1488–1492 7. Pamuk A (2011) An FPGA implementation architecture for decoding of polar codes. In: 2011 8th international symposium on wireless communication systems (ISWCS), pp 437–441 8. Leroux C, Raymond AJ, Sarkis G, Tal I, Vardy A, Gross WJ (2012) Hardware implementation of successive-cancellation decoders for polar codes.

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

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