One-error correction convolutional coding system

Communications: electrical – Digital comparator systems

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

G06F 1112

Patent

active

040558320

ABSTRACT:
A rate one-half random error convolutional coding system corrects the theoretical limit of one error out of four successive bits. An information bit stream is processed through the system encoder which is comprised of a two-bit shift register and a modulo-2 adder. The encoder generates a parity bit formed by the modulo-2 summing of successive pairs of information bits, and produces a convolved transmission bit stream. The system decoder is the replica of the encoder in combination with a two-bit syndrome register, an AND gate, complementary feedback circuitry, and an output modulo-2 adder.
Overall system performance is the simplest, fastest, and highest performing of all such systems known to date.

REFERENCES:
patent: 2956124 (1960-10-01), Hagelbarger
patent: 3227999 (1966-01-01), Hagelbarger
patent: 3469236 (1969-09-01), Gallager
patent: 3605090 (1971-09-01), Burton
patent: 3718905 (1973-02-01), Tong
patent: 3728678 (1973-04-01), Tong
patent: 3873971 (1975-03-01), En
patent: 3882457 (1975-05-01), En
Peterson & Weldon, Error-Correcting Codes, Second Edition, The MIT Press, 1972, Cambridge, Mass., pp. 392-401 and 427-431.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

One-error correction convolutional coding system does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with One-error correction convolutional coding system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and One-error correction convolutional coding system will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-124992

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.