Title :
Analog decoding: state of the art
Author :
Schlegel, Christian ; Winstead, Chris
Author_Institution :
Alberta Univ., Edmonton, Alta., Canada
fDate :
30 Aug.-2 Sept. 2004
Abstract :
Analog soft iterative error control decoders use analog computation to decode digital information. Analog soft-information processors offer the power of iterative decoding with a very small transistor count, enabling fully parallel decoding at low cost. They can be implemented in several technologies: BiCMOS and SiGe analog decoders are suitable for high-speed applications beyond 10 Gbit per second. CMOS analog decoders, by contrast, are best suited for low-cost, low-power applications with throughput up to 1 Gbit per second. CMOS analog decoders can also be designed for micropower operation, making them uniquely applicable to emerging applications such as sensor networks and implantable devices.
Keywords :
BiCMOS analogue integrated circuits; CMOS analogue integrated circuits; error correction codes; germanium alloys; iterative decoding; silicon alloys; BiCMOS; CMOS analog decoders; SiGe; analog decoding; implantable devices; low-power applications; micropower operation; parallel decoding; sensor networks; soft iterative error control; Analog computers; BiCMOS integrated circuits; CMOS technology; Costs; Error correction; Germanium silicon alloys; Iterative decoding; Parity check codes; Silicon germanium; Viterbi algorithm;
Conference_Titel :
Spread Spectrum Techniques and Applications, 2004 IEEE Eighth International Symposium on
Print_ISBN :
0-7803-8408-3
DOI :
10.1109/ISSSTA.2004.1371751
