Title :
New importance sampling methods for simulating sequential decoders
Author :
Letaief, Khaled ; Sadowsky, John S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
fDate :
9/1/1993 12:00:00 AM
Abstract :
Two importance sampling techniques are presented for estimating the distribution of computation of sequential decoding for specific convolutional codes (not ensemble averages). Only stack algorithm decoders are considered. Numerical examples are presented for both the BSC and the AWGN channel
Keywords :
Monte Carlo methods; convolutional codes; decoding; telecommunication channels; white noise; AWGN channel; BSC; Monte Carlo technique; convolutional codes; importance sampling methods; information theory; likelihood ratio weighting; sequential decoders; sequential decoding; stack algorithm decoders; Constellation diagram; Convolutional codes; Decoding; Distributed computing; Gaussian channels; Gaussian processes; Information theory; Monte Carlo methods; Peak to average power ratio; Sampling methods;
Journal_Title :
Information Theory, IEEE Transactions on
