IEEE Transactions on Information Theory · 1968 · 66 citations · 11 references
EngineeringElectrical EngineeringDynamical SystemsStochastic ProcessesTime Series AnalysisDigital Signal ProcessingNoiseSignal ProcessingLinearityNonlinear AnalysisNonlinearity
The signal <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">\times</tex> signal, noise <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">\times</tex> noise, and signal <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">\times</tex> noise output components of a nonlinearity are defined in a manner agreeing with intuition. The definitions are shown to accord with previous usage, for which they now provide a clear meaning. The case of a limiter is used as an illustrative example. The approach is applicable not only to fixed memoryless transformations but also to nonlinearities with memory that depend explicitly on time, such as frequency or phase modulation, demodulation, and bandpass nonlinearities.
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Mathematical Analysis of Random Noise
S. O. Rice · Bell System Technical Journal · 1944 · 5.5K citations
Mathematical Analysis of Random Noise
S. O. Rice · Bell System Technical Journal · 1945 · 2.9K citations
J. H. Van Vleck, David Middleton · Proceedings of the IEEE · 1966 · 524 citations