Fourier and Laplace Transforms

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Format: Hardcover
Pub. Date: 2003-08-18
Publisher(s): Cambridge University Press
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Summary

This textbook presents in a unified manner the fundamentals of both continuous and discrete versions of the Fourier and Laplace transforms. These transforms play an important role in the analysis of all kinds of physical phenomena. As a link between the various applications of these transforms the authors use the theory of signals and systems, as well as the theory of ordinary and partial differential equations. The book is divided into four major parts: periodic functions and Fourier series, non-periodic functions and the Fourier integral, switched-on signals and the Laplace transform, and finally the discrete versions of these transforms, in particular the Discrete Fourier Transform together with its fast implementation, and the z-transform. This textbook is designed for self-study. It includes many worked examples, together with more than 120 exercises, and will be of great value to undergraduates and graduate students in applied mathematics, electrical engineering, physics and computer science.

Table of Contents

Preface ix
Introduction 1(6)
Part 1 Applications and foundations
1 Signals and systems
7(20)
1.1 Signals and systems
8(3)
1.2 Classification of signals
11(5)
1.3 Classification of systems
16(11)
2 Mathematical prerequisites
27(33)
2.1 Complex numbers, polynomials and rational functions
28(7)
2.2 Partial fraction expansions
35(4)
2.3 Complex-valued functions
39(6)
2.4 Sequences and series
45(6)
2.5 Power series
51(9)
Part 2 Fourier series
3 Fourier series: definition and properties
60(26)
3.1 Trigonometric polynomials and series
61(4)
3.2 Definition of Fourier series
65(6)
3.3 The spectrum of periodic functions
71(1)
3.4 Fourier series for some standard functions
72(4)
3.5 Properties of Fourier series
76(4)
3.6 Fourier cosine and Fourier sine series
80(6)
4 The fundamental theorem of Fourier series
86(27)
4.1 Bessel's inequality and Riemann-Lebesgue lemma
86(3)
4.2 The fundamental theorem
89(6)
4.3 Further properties of Fourier series
95(10)
4.4 The sine integral and Gibbs' phenomenon
105(8)
5 Applications of Fourier series
113(25)
5.1 Linear time-invariant systems with periodic input
114(8)
5.2 Partial differential equations
122(16)
Part 3 Fourier integrals and distributions
6 Fourier integrals. definition and properties
138(26)
6.1 An intuitive derivation
138(2)
6.2 The Fourier transform
140(4)
6.3 Some standard Fourier transforms
144(5)
6.4 Properties of the Fourier transform
149(7)
6.5 Rapidly decreasing functions
156(2)
6.6 Convolution
158(6)
7 The fundamental theorem of the Fourier integral
164(24)
7.1 The fundamental theorem
165(7)
7.2 Consequences of the fundamental theorem
172(9)
7.3 Poisson's summation formula*
181(7)
8 Distributions
188(20)
8.1 The problem of the delta function
189(3)
8.2 Definition and examples of distributions
192(5)
8.3 Derivatives of distributions
197(6)
8.4 Multiplication and scaling of distributions
203(5)
9 The Fourier transform of distributions
208(21)
9.1 The Fourier transform of distributions: definition and examples
209(8)
9.2 Properties of the Fonner transform
217(4)
9.3 Conclusion
221(8)
10 Applications of the Fourier integral
229(24)
10.1 The impulse response
230(4)
10.2 The frequency response
234(5)
10.3 Causal stable systems and differential equations
239(4)
10.4 Boundary and initial value problems for partial differential equations
243(10)
Part 4 Laplace transforms
11 Complex functions
253(14)
11.1 Definition and examples
253(3)
11.2 Continuity
256(3)
11.3 Differentiability
259(4)
11.4 The Cauchy-Riemann equations*
263(4)
12 The Laplace transform: definition and properties
267(21)
12.1 Definition and existence of the Laplace transform
268(7)
12.2 Linearity, shifting and scaling
275(5)
12.3 Differentiation and integration
280(8)
13 Further properties, distributions, and the fundamental theorem
288(22)
13.1 Convolution
289(2)
13.2 Initial and final value theorems
291(3)
13.3 Periodic functions
294(3)
13.4 Laplace transform of distributions
297(6)
13.5 The inverse Laplace transform
303(7)
14 Applications of the Laplace transform
310(30)
14.1 Linear systems
311(12)
14.2 Linear differential equations with constant coefficients
323(4)
14.3 Systems of linear differential equations with constant coefficients
327(3)
14.4 Partial differential equations
330(10)
Part 5 Discrete transforms
15 Sampling of continuous-time signals
340(16)
15.1 Discrete-time signals and sampling
340(4)
15.2 Reconstruction of continuous-time signals
344(3)
15.3 The sampling theorem
347(4)
15.4 The aliasing problem*
351(5)
16 The discrete Fourier transform
356(19)
16.1 Introduction and definition of the discrete Fourier transform
356(6)
16.2 Fundamental theorem of the discrete Fourier transform
362(2)
16.3 Properties of the discrete Fourier transform
364(4)
16.4 Cyclical convolution
368(7)
17 The Fast Fourier Transform
375(16)
17.1 The DFT as an operation on matrices
376(4)
17.2 The N-point DFT with N = 2m
380(3)
17.3 Applications
383(8)
18 The z-transform
391(21)
18.1 Definition and convergence of the z-transform
392(4)
18.2 Properties of the z-transform
396(4)
18.3 The inverse z-transform of rational functions
400(4)
18.4 Convolution
404(3)
18.5 Fourier transform of non-periodic discrete-time signals
407(5)
19 Applications of discrete transforms
412(17)
19.1 The impulse response
413(6)
19.2 The transfer function and the frequency response
419(5)
19.3 LTD-systems described by difference equations
424(5)
Literature 429(3)
Tables of transforms and properties 432(12)
Index 444

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