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In this chapter we develop in detail the basic ideas of classical detection and estimation theory.
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Key Phrases - Statistically Improbable Phrases (SIPs):
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realizable linear filter, analog computer realization, optimum unrealizable filter, uniform phase case, unity spectral height, optimum realizable filter, message spectra, known signal case, point estimation error, colored noise component, simple binary problem, optimum loop filter, realizable estimate, unrealizable filters, optimum linear filter, integrated transform, composite hypothesis testing problem, message spectrum, realizable part, binary detection problem, bandlimited spectrum, waveform estimation, rational spectra, linear processor, nonrandom parameters
Key Phrases - Capitalized Phrases (CAPs):
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New York, Repeat Problem, Detection of Signals, Bell System Tech, New Jersey, Stochastic Processes, Van Trees, Internal Memo, Lincoln Laboratory, Automatic Control, Englewood Cliffs, Composite Hypotheses, Derivation of Estimator Equations, Princeton University, Stanford University, Communication System Theory, Consider Example, Matrix Eigenvalues, Non-Gaussian Noise, Transmitter Fig, Consider the M-ary, Discrete Adaptive Processes, Expansion of Second-Order Stationary Random Functions, Find Var, Finite Observation Time
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