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The Convolution Transform

In studies of general operators of the same nature, general convolution transforms are immediately encountered as the objects of inversion;

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Convolution Transform

The convolution transform includes as special cases such familiar transforms as the Laplace, Fourier-sine, Fourier-cosine, Hankel, Meier;

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Convolution Transform

The convolution transform includes as special cases such familiar transforms as the Laplace, Fourier-sine, Fourier-cosine, Hankel, Meier;

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Convolution and Equidistribution

Convolution and Equidistribution explores an important aspect of number theory--the theory of exponential sums over finite fields and their;

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Convolution and Equidistribution

Convolution and Equidistribution explores an important aspect of number theory--the theory of exponential sums over finite fields and their;

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Simpson's Discrete Fourier Transform

In this text we derive the Simpson Discrete Fourier Transform (SDFT) by applying numerical quadrature to approximate Fourier coefficents;

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Wavelet Transform, The

This book contains many important new results on the theory of wavelet transform, such as its relations with Hilbert transform and other;

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Signals and Linear Systems

difference/differential equation models, convolution, and state variable formulations in presenting continuous- and discrete-time systems. Transform;

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Convolution-like Structures, Differential Operators and Diffusion Processes

known that convolutions, differential operators and diffusion processes are interconnected: the ordinary convolution commutes with the Laplacian;

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Mathematics For The Physical Sciences

include preliminary results in the integral calculus, elementary theory of distributions, convolution, Fourier series and the Fourier transform;

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DSP for Matlab and Labview

transforms, including a brief overview of common frequency transforms, both discrete and continuous, followed by detailed treatments of the Discrete;

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Discrete Wavelet Transform

, including convolution and correlation, Fourier transform, FIR filter, orthogonal and biorthogonal filters * Organized systematically, starting from;

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The Hilbert-huang Transform And Its Applications

The Hilbert-Huang Transform (HHT) represents a desperate attempt to break the suffocating hold on the field of data analysis by the twin;

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FPGA-based Digital Convolution for Wireless Applications

examines digital convolution by bringing together the following main elements: the fundamental theory behind the mathematical formulae together;

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Methods of the Theory of Generalized Functions

Poisson integral transforms and operational calculus, with the traditional material augmented by the theory of Fourier series, abelian theorems;

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Methods of the Theory of Generalized Functions

Poisson integral transforms and operational calculus, with the traditional material augmented by the theory of Fourier series, abelian theorems;

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DSP for Matlab and Labview

convolution, recursion, difference equations, LTI systems, etc), conversion from the continuous to discrete domain and back (i.e., analog-to-digital;

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Gauss Sums, Kloosterman Sums, and Monodromy Groups. (AM-116), Volume 116

of algebraic geometry, representation theory, and the sheaf-theoretic incarnations of such standard constructions of classical analysis as convolution;

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Students Guide To Fourier Transforms

. Providing a concise introduction to the theory and practice of Fourier transforms, this book is invaluable to students of physics, electrical and;

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DSP for Matlab and LabVIEW

, bandpass, and bandstop filters, and conversion of analog filters to digital filters using the Impulse Invariance and Bilinear Transform techniques;

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Boundary Values And Convolution In Ultradistribution Spaces

of ultradistributions such as boundedness and convolution. Integral transforms of ultradistributions are constructed and analyzed. The general theory of the;

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DSP for MATLAB and LabVIEW

principles of signal processing, including correlation, the correlation sequence, the Real DFT, correlation by convolution, matched filtering, simple;

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Fourier Optics an Introduction 2nd

spectroscopy.Helpful appendixes cover the application of frequency-domain analysis, convolution and correlation in communications, and maximum;

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Signals and Systems

transform and Z transform. MATLAB codes for all the chapters are given along with a brief introduction. Salient Features: Precise and easy-to;

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Understanding Signals

; the discrete Fourier transform and inverse transform; the concept of filtering in the spectral domain; and the idea of filtering outside;

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Principles of Signals and Systems

signals and digital signals; Laplace transform; and Z transforms. Practical applications are included throughout. The book is also packed with;

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Signals and Systems

topics such as the representation of signals, convolution, Fourier Series and Fourier Transform, Laplace transform, Z-transform, and state-space;

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