Offers a reference for various formulae encountered in linear systems, control systems, probability, communication engineering, signal processing, quantum mechanics, and electromagnetic field theory. This title includes novel results on complex convolutions. It explains real and complex matrix differentiation methods.
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 z-transforms. Singular value decomposition techniques for matrix inversion are also clearly presented.
This new edition adds material from:
Orthogonal functions
Linear algebra
Matrix analysis
Matrix and vector differentiation
Singular value decomposition
State space techniques
Other discussions include:
Discrete linear and circular convolution
Gram-Schmidt orthogonalization procedure
Graphical derivation of DFT from CFT
Truncation windows
Eigenvalues and eigenvectors of matrices
This 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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