Characteristics of decoding error in discrete-memory channel
Abstract
The paper derives a general formula for the probability P(m, n) of m error occurrences in n digits, using a model of a communication channel represented by a finite Markov process. The degree of improvement in error rate in a channel with intersymbol interference is investigated for the case when a random-error correcting code is used. The deterioration of the channel SNR is found to be over 0.1 dB, and the deterioration becomes more pronounced as the number of errors increases. A differential phase modulation channel is considered as an example.
- Publication:
-
Electronics Communications of Japan
- Pub Date:
- April 1975
- Bibcode:
- 1975JElCo..58...16T
- Keywords:
-
- Channels (Data Transmission);
- Decoding;
- Error Correcting Codes;
- Markov Processes;
- Pulse Communication;
- Random Errors;
- Error Analysis;
- Mathematical Models;
- Phase Modulation;
- Phase Shift Keying;
- Signal To Noise Ratios;
- Telecommunication;
- Communications and Radar