Journal of Applied Physics · 1953 · 58 citations · 5 references
Natural SciencesElectrical EngineeringDigital CommunicationInformation TheoryProbability TheoryCharacteristic FunctionsDigital Signal ProcessingProbability DistributionsReceiver SystemsSignal Detection TheorySignal ProcessingEigenvalue ComputationEnvelope DetectionGaussian Signal Detection TheoryProbability Density Function EstimationProbability Density Function ModelingProbability Density Functions
The method of Kac and Siegert for finding the output probabi ity density characteristic function for receivers with square law envelope detections is discussed, and a parallel development is given for the square law rectifier. Procedures are then outlined for determining the probability density functions directly, i.e., without solving the eigenvalue problem or inverting the characteristic function. The method depends on expanding the density function in an orthonormal series, the coefficients of which are expressed in terms of cumulants, which in turn are obtained from the system kernel by straightforward quadratures. As an example to illustrate the procedure, a receiver with Gaussian IF and Gaussian audio-frequency pass characteristics is treated in detail, and the output probability density functions are found for various sinusoidal input signal strengths and IF vs audio band-width ratios.
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Mathematical Analysis of Random Noise
S. O. Rice · Bell System Technical Journal · 1944 · 5.5K citations
Signal-to-Noise Ratio in AM Receivers
E.G. Fubini, D.C. Johnson · Proceedings of the IRE · 1948 · 11 citations