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Detection theory : applications and digital signal processing

Author: Ralph Dieter Hippenstiel
Publisher: Boca Raton : CRC Press, ©2002.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:

Whether working in wireless communication technology or radar/sonar systems, researchers and engineers must understand the fundamentals of signal detection. This book includes treatments of modern  Read more...

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Hippenstiel, Ralph Dieter, 1941-
Detection theory.
Boca Raton, Fla. : CRC Press, ©2002
(DLC) 2001043859
(OCoLC)480389
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ralph Dieter Hippenstiel
ISBN: 1420042041 9781420042047 9788493043421 8493043427
OCLC Number: 276796301
Description: 1 online resource (325 pages) : illustrations
Contents: Detection and Estimation Philosophy --
Detection --
Estimation --
Description of Spaces Involved in the Decision --
Review of Deterministic and Random System and Signal Concepts --
Some Mathematical and Statistical Background --
Systems and Signals (Deterministic and Random) --
Transformation of Random Variables --
Gaussian Density --
Rayleigh Density --
Cauchy Density --
Uniform Density --
Chi-Squared Density --
Rician Density (Non-Central Rayleigh) --
Non-Central Chi-Squared Density --
Introduction to Signal Processing --
Data Structure and Sampling --
Discrete-time Transformations --
Filtering --
Finite Impulse Response Filter --
The Fast Fourier Transform --
FIR Filter with Complex Valued Weights Interpretation --
Complex Demodulator Interpretation --
I-Q Demodulator (In-Phase Quadrature Demodulator) Interpretation --
Correlator Interpretation --
Convolver Interpretation --
Matched Filter Interpretation --
Coordinate Transformation Interpretation --
Fast Correlation --
Periodogram (Power Spectral Density Estimate) --
Wavelets --
Revisiting FIR Filters and the DFT/FFT --
FIR Filters and Wavelet Transforms --
Mallat's Algorithm --
Hypothesis Testing --
Bayes' Detection --
Maximum a Posteriori (Map) Detection --
Maximum Likelihood (ML) Criterion --
Minimum Probability of Error Criterion --
Min-Max Criterion --
Neyman-Pearson Criterion --
Optimization and Lagrange Multipliers --
Neyman-Pearson Approach --
Multiple Hypotheses --
Composite Hypothesis Testing.
Responsibility: Ralph D. Hippenstiel.

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