Title :
Adaptive Schemes to Recognize an Asynchronously Generated Signal
Author :
Miki, Shigehiko ; Kaneku, Seiko
Author_Institution :
Kobe Univ., Japan
fDate :
11/1/1979 12:00:00 AM
Abstract :
Decision and estimation algorithms for a signal of asynchronous generation are treated with emphasis on waveform estimation. A simplified model for source statistics is assumed. Starting with a supervised learning model, two algorithms of the non-supervised type are derived. Their estimation error performance is studied by computer simulation.
Keywords :
Adaptive estimation; Adaptive signal detection; Bayes procedures; Learning procedures; Waveform analysis; Additive noise; Communications Society; Computer simulation; Data communication; Estimation error; Probability density function; Pulse shaping methods; Shape; Signal generators; Source separation;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOM.1979.1094336
