Decoding algorithms with input quantization and maximum error correction capability

Decoding that uses soft-decision information but with multiple low-complexity decoders are investigated. These decoders correct only errors and erasures. The structure of the receiver consists of a bank of z demodulators followed by errors- and erasures-correcting decoders operating in parallel. Each demodulator has a threshold for determining when to erase a given symbol. We assign a cost f(/spl theta/) to the noise for causing an erasure when the receiver uses a particular threshold /spl theta/ and a (larger) cost f(/spl theta.<
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