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Convolutional coding on Xtensa processors

Posted: 03 Sep 2008 ?? ?Print Version ?Bookmark and Share

Keywords:processors Xtensa? coding? convolutional encoding decoding? application note?

This application note looks briefly at popular techniques for convolutional encoding and decoding, especially Viterbi decoding, and illustrates the power of a configurable processor in handling the performance-intensive signal processing demands of coding and decoding.

Application-specific processors are quickly designed, simulated, built in silicon, and offer significantly better programmability, performance, and power-efficiency than most popular DSPs. In particular, this paper describes user-defined TIE (Tensilica Instruction Extension) instructions which accelerate distance metric calculations, the most performance-critical task in Viterbi decoding, by more than 32 times over most popular DSPs and almost 80 times over most popular 32bit RISC cores.

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