MATLAB Implementation of Turbo Encoding and Decoding

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Resource Overview

Turbo encoding and decoding implementation featuring Log-MAP or SOVA decoding algorithms for enhanced error correction performance

Detailed Documentation

Turbo coding is a highly efficient error correction technique that utilizes either Log-MAP (Logarithmic Maximum A Posteriori) or SOVA (Soft Output Viterbi Algorithm) decoding algorithms to significantly improve encoding reliability and performance. The implementation typically involves parallel concatenated convolutional codes with an interleaver, where the decoder uses iterative processing between component decoders to refine soft decisions. Key MATLAB functions for implementation may include convenc for convolutional encoding, and custom iterative decoding routines that exchange extrinsic information between decoders. The Log-MAP algorithm provides near-optimal performance with logarithmic probability calculations, while SOVA offers a lower-complexity alternative with soft output generation for iterative decoding processes.

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