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Lectures on the Fourier Transform and Its Applications [Kõva köide]

  • Formaat: Hardback, 702 pages, kõrgus x laius: 254x178 mm, kaal: 1345 g
  • Sari: Pure and Applied Undergraduate Texts
  • Ilmumisaeg: 30-Jan-2019
  • Kirjastus: American Mathematical Society
  • ISBN-10: 1470441918
  • ISBN-13: 9781470441913
Teised raamatud teemal:
  • Formaat: Hardback, 702 pages, kõrgus x laius: 254x178 mm, kaal: 1345 g
  • Sari: Pure and Applied Undergraduate Texts
  • Ilmumisaeg: 30-Jan-2019
  • Kirjastus: American Mathematical Society
  • ISBN-10: 1470441918
  • ISBN-13: 9781470441913
Teised raamatud teemal:
This book is derived from lecture notes for a course on Fourier analysis for engineering and science students at the advanced undergraduate or beginning graduate level. Beyond teaching specific topics and techniques--all of which are important in many areas of engineering and science--the author's goal is to help engineering and science students cultivate more advanced mathematical know-how and increase confidence in learning and using mathematics, as well as appreciate the coherence of the subject. He promises the readers a little magic on every page.

The section headings are all recognizable to mathematicians, but the arrangement and emphasis are directed toward students from other disciplines. The material also serves as a foundation for advanced courses in signal processing and imaging. There are over 200 problems, many of which are oriented to applications, and a number use standard software. An unusual feature for courses meant for engineers is a more detailed and accessible treatment of distributions and the generalized Fourier transform. There is also more coverage of higher-dimensional phenomena than is found in most books at this level.

Arvustused

A thoroughly enjoyable yet careful mathematical perspective of the underlying concepts and many applications of modern signal analysis."" - Les Atlas, University of Washington

""Osgood leads his readers from the basics to the more sophisticated parts of applicable Fourier analysis with a lively style, a light touch on the technicalities, and an eye toward communications engineering. This book should be a great resource for students of mathematics, physics, and engineering alike."" - Gerald B. Folland, University of Washington

""Fourier analysis with a swing in its step."" - Tom Korner, University of Cambridge

Preface xi
Thanks xv
Chapter 1 Fourier Series
1(98)
1.1 Choices: Welcome Aboard
1(1)
1.2 Periodic Phenomena
2(6)
1.3 It All Adds Up
8(12)
1.4 Two Examples and a Warning
20(5)
1.5 The Math, Part 1: A Convergence Result
25(3)
1.6 Fourier Series in Action
28(14)
1.7 The Math, Part 2: Orthogonality and Square Integrable Functions
42(18)
1.8 Appendix: Notes on the Convergence of Fourier Series
60(10)
1.9 Appendix: The Cauchy-Schwarz Inequality
70(5)
Problems and Further Results
75(24)
Chapter 2 Fourier Transform
99(60)
2.1 A First Look at the Fourier Transform
99(12)
2.2 Getting to Know Your Fourier Transform
111(7)
2.3 Getting to Know Your Fourier Transform, Better
118(17)
2.4 Different Definitions of the Fourier Transform, and What Happens to the Formulas
135(1)
Problems and Further Results
136(23)
Chapter 3 Convolution
159(70)
3.1 A * Is Born
159(5)
3.2 What Is Convolution, Really?
164(3)
3.3 Properties of Convolution: It's a Lot Like Multiplication
167(2)
3.4 Convolution in Action I: A Little Bit on Filtering
169(5)
3.5 Convolution in Action II: Differential Equations
174(11)
3.6 Convolution in Action III: The Central Limit Theorem
185(17)
3.7 Heisenberg's Inequality
202(3)
Problems and Further Results
205(24)
Chapter 4 Distributions and Their Fourier Transforms
229(92)
4.1 The Day of Reckoning
229(6)
4.2 The Best Functions for Fourier Transforms: Rapidly Decreasing Functions
235(9)
4.3 A Very Little on Integrals
244(5)
4.4 Distributions
249(19)
4.5 Defining Distributions
268(17)
4.6 Fluxions Finis: The End of Differential Calculus
285(7)
4.7 Convolutions and the Convolution Theorem
292(6)
4.8 Appendix: Windowing, Convolution, and Smoothing
298(13)
4.9 Epilog and Some References
311(1)
Problems and Further Results
312(9)
Chapter 5 δ Hard at Work
321(38)
5.1 Filters, Redux
322(1)
5.2 Diffraction: Sincs Live and in Pure Color
323(10)
5.3 X-Ray Diffraction
333(2)
5.4 The III-Function on Its Own
335(7)
5.5 Periodic Distributions and Fourier Series
342(2)
5.6 A Formula for δ Applied to a Function, and a Mention of Pullbacks
344(3)
5.7 Cutting Off a δ
347(1)
5.8 Appendix: How Special Is III?
348(1)
Problems and Further Results
349(10)
Chapter 6 Sampling and Interpolation
359(52)
6.1 Sampling sines and the Idea of a Bandlimited Signal
359(3)
6.2 Sampling and Interpolation for Bandlimited Signals
362(9)
6.3 Undersampling and Aliasing
371(9)
6.4 Finite Sampling for a Bandlimited Periodic Signal
380(6)
6.5 Appendix: Timelimited vs. Bandlimited Signals
386(2)
6.6 Appendix: Linear Interpolation via Convolution
388(2)
6.7 Appendix: Lagrange Interpolation
390(1)
Problems and Further Results
391(20)
Chapter 7 Discrete Fourier Transform
411(72)
7.1 The Modern World
411(1)
7.2 From Continuous to Discrete
412(2)
7.3 The Discrete Fourier Transform
414(2)
7.4 Notations and Conventions 1
416(4)
7.5 Two Grids, Reciprocally Related
420(1)
7.6 Getting to Know Your Discrete Fourier Transform
421(9)
7.7 Notations and Conventions 2
430(6)
7.8 Getting to Know Your DFT, Better
436(8)
7.9 The Discrete Rect and Its DFT
444(2)
7.10 Discrete Sampling and Interpolation
446(3)
7.11 The FFT Algorithm
449(17)
Problems and Further Results
466(17)
Chapter 8 Linear Time-Invariant Systems
483(66)
8.1 We Are All Systemizers Now
483(1)
8.2 Linear Systems
484(3)
8.3 Examples
487(5)
8.4 Cascading Linear Systems
492(2)
8.5 The Impulse Response, or the Deepest Fact in the Theory of Distributions Is Well Known to All Electrical Engineers
494(5)
8.6 Linear Time-Invariant (LTI) Systems
499(5)
8.7 The Fourier Transform and LTI Systems
504(5)
8.8 Causality
509(2)
8.9 The Hilbert Transform
511(8)
8.10 Filters Finis
519(11)
8.11 A Tribute: The Linear Millennium
530(2)
Problems and Further Results
532(17)
Chapter 9 n-Dimensional Fourier Transform
549(112)
9.1 Space, the Final Frontier
549(10)
9.2 Getting to Know Your Higher-Dimensional Fourier Transform
559(18)
9.3 A Little δ Now, More Later
577(4)
9.4 Higher-Dimensional Fourier Series
581(11)
9.5 III, Lattices, Crystals, and Sampling
592(17)
9.6 The Higher-Dimensional DFT
609(2)
9.7 Naked to the Bone
611(15)
9.8 Appendix: Line Impulses
626(11)
9.9 Appendix: Pullback of a Distribution
637(5)
Problems and Further Results
642(23)
Appendix A A List of Mathematical Topics that Are Fair Game 661(4)
Appendix B Complex Numbers and Complex Exponentials 665(10)
B.1 Complex Numbers
665(3)
B.2 The Complex Exponential and Euler's Formula
668(4)
B.3 Further Applications of Euler's Formula
672(7)
Problems and Further Results 675(2)
Appendix C Geometric Sums 677(4)
Problems and Further Results
679(2)
Index 681
Brad G. Osgood, Stanford University, CA.