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Detection Theory

(A Rand Study)

Ivan Selin

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Princeton University Press img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Mathematik

Beschreibung

In the area of statistical communications, a well-developed theory has grown to cover the testing for the presence of a desired process (signal) in the presence of an undesirable random process (noise). This book presents an adaptation of this theory.

Originally published in 1965.

The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

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Schlagwörter

Negative binomial distribution, Eigenvalues and eigenvectors, Joint probability distribution, Nuisance parameter, Statistical hypothesis testing, Integral equation, Conditional probability distribution, Estimation, Decision rule, Summation, Infinite product, Bandlimiting, Nyquist–Shannon sampling theorem, Probability measure, Random variable, Kullback–Leibler divergence, Probability, Logarithm, Parameter, Spectral density, Test statistic, Special case, Gaussian noise, Equation, Bessel function, Central moment, Cumulative distribution function, Mathematical optimization, Computation, Sufficient statistic, Detection, L-estimator, Transfer function, Dini's theorem, Gaussian process, Bandwidth (signal processing), Receiver operating characteristic, Eigenfunction, Weight function, Error function, White noise, Probability distribution, Inequality (mathematics), Probability of error, Integral transform, Fourier inversion theorem, Quantity, Maximum likelihood estimation, Estimator, Probability theory, Inference, Approximation, Decision problem, A priori probability, Dirac delta function, Karhunen–Loève theorem, Divergent series, Coefficient, Continuous function, Normal distribution, Likelihood function, Likelihood-ratio test, Characteristic function (probability theory), Covariance function, Theorem, Variance, Fourier transform, Independence (probability theory), Probability density function, Statistic