Statistical communication theory
Generalization of superposition principle of statistical communication theory & investigation of class of nonlinear systems
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Generalization of superposition principle of statistical communication theory & investigation of class of nonlinear systems
Research and scientific reports on statistical communication theory
Decision theory and binary detection of signal transmission in noisy channel, and determination of noise caused by tape in magnetic recording system
Modulator transfer functions for fixed and ramp input waveforms, and nonlinear homomorphic system for echo removal
Communication theory on discrete analysis of homomorphic deconvolution, and unity feedback of two state modulator configurations
Textbook on communication engineering emphasizing random processes, information and detection theory, statistical communication theory, applications, etc
Statistical communication theory for learning and adaptive system programs, and signal design
Low error probabilities in binary communication systems estimated by statistics of bivariate extreme-value theory
Atmospheric turbulence effects reduction in optical communication by statistical communication theory, considering digital system and waveform estimation
Demonstration of the value of cross-correlation signal enhancement achieved by means of a dual magnetometer system. A unique feature of a dual magnetometer system is, as pointed out by Ness et al. (1971), the opportunity it allows for signal enhancement by using cross-correlation techniques developed in statistical communication theory. Their use is shown to make it possible to overcome the limitations that the intrinsic sensor ambient noise and the measurement-contaminating spacecraft field fluctuations impose upon the signal detection performance of a single magnetometer.
Statistical theory of extreme values application to spacecraft communication receivers
Recursive estimation of radar or radio astronomy target parameters, considering functional dependence of covariance function of received signals
Extreme value statistics estimation of low error probabilities in binary communication systems
Stability in signal detection and signal measurement concerning hypotheses test and parameter estimation problems
Stability in signal detection and measurement based on statistical inference made from values of functional on sample space
Parameter-conditional mixtures for defining statistically dependent samples
Unsupervised signal pattern recognition - computer simulation of noisy signal pattern format, and construction of asymptotic Bayes decision boundary form
Binary communication systems for determining performance error probability of channel filters and modulation schemes