Detection Theory (eBook)

(A Rand Study)

Ivan Selin (Autor)

eBook Download: PDF

2015
Princeton University Press (Verlag)
978-1-4008-7620-4 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 8.12.2015
• Reihe/Serie: Princeton Legacy Library
• Reihe/Serie: Princeton Legacy Library
• Verlagsort: Princeton
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik
• Schlagworte: Ambiguity • Analytic signal • Approximation • A priori probability • Bandlimiting • Bandwidth (signal processing) • Bessel function • Bessel's Inequality • Carrier frequency • Central moment • Characteristic equation (calculus) • Characteristic function (probability theory) • coefficient • Computation • Conditional probability distribution • Confidence interval • continuous function • Continuous function (set theory) • Convergence of random variables • convolution • Covariance function • Cross-correlation • Cumulative distribution function • Decision problem • Decision rule • Decision Theory • Degrees of freedom (statistics) • Derivative • detection • Dini's theorem • Dirac delta function • Divergent series • Eigenfunction • Eigenvalues and Eigenvectors • Equation • Error Function • estimation • Estimator • Fourier inversion theorem • Fourier series • Fourier transform • gaussian noise • Gaussian process • Green's Function • Independence (probability theory) • Inequality (mathematics) • inference • Infinite product • integral equation • integral transform • Joint probability distribution • Karhunen–Loève theorem • Kullback–Leibler divergence • Lebesgue measure • L-estimator • Likelihood Function • Likelihood-ratio test • Linear map • logarithm • Mathematical Optimization • maximum likelihood estimation • Modulation • Monotonic Function • negative binomial distribution • Nonparametric Statistics • Normal distribution • Nuisance parameter • Nyquist–Shannon sampling theorem • Order of integration • Order of integration (calculus) • Parameter • Point Estimation • Probability • Probability density function • Probability Distribution • probability measure • Probability of error • Probability Theory • Quantity • Random Variable • Receiver Operating Characteristic • Sequential Probability Ratio Test • Signal (electrical engineering) • Sine Wave • Special case • Spectral density • stationary process • Statistic • Statistical hypothesis testing • Sufficient statistic • Summation • test statistic • Theorem • theory • Transfer Function • uniform convergence • Uniformly most powerful test • Variance • Weight function • White Noise
• ISBN-10: 1-4008-7620-6 / 1400876206
• ISBN-13: 978-1-4008-7620-4 / 9781400876204