Turbo Codes

Turbo Codes

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PREFACE The increasing demand on high data rate and quality of service in wireless communication has to cope with limited bandwidth and energy resources. More than 50 years ago, Shannon has paved the way to optimal usage of bandwidth and energy resources by bounding the spectral efficiency vs. signal to noise ratio trade-off. However, as any information theorist, Shannon told us what is the best we can do but not how to do it [1]. In this view, turbo codes are like a dream come true: they allow approaching the theoretical Shannon capacity limit very closely. However, for the designer who wants to implement these codes, at first sight they appear to be a nightmare. We came a huge step closer in striving the theoretical limit, but see the historical axiom repeated on a different scale: we know we can achieve excellent performance with turbo codes, but not how to realize this in real devices.Layer 2 consists of the FBA functional control for all array data accesses. Data is accessed in nested loop bodies and passed for calculation to the respective layer 3 functions. The critical path in terms of dependent load-store operations insideanbsp;...

Title:Turbo Codes
Author: Alexandre Giulietti, Bruno Bougard, Liesbet Van Der Perre
Publisher:Springer Science & Business Media - 2003-12-31

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