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This pocket book serves as an immediate reference for the various formulae encountered in linear systems, control systems, probability, communication engineering, signal processing, quantum mechanics, and electromagnetic field theory. It includes novel results on complex convolutions; clearly explains real and complex matrix differentiation methods; provides an unusual amount of orthogonal functions; and presents properties of Fourier series, Fourier transforms, Hilbert transforms, Laplace transforms, and ztransforms. Singular value decomposition techniques for matrix inversion are also clearly presented.This new edition adds material from: Orthogonal functionsLinear algebraMatrix analysisMatrix and vector differentiationSingular value decompositionState space techniquesOther discussions include:Discrete linear and circular convolutionGramSchmidt orthogonalization procedureGraphical derivation of DFT from CFTTruncation windowsEigenvalues and eigenvectors of matricesThis succint resource will be particularly useful as a supplement to regular texts, designed for the master's or doctoral student as well as the advanced undergraduate.
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