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xiii Note to the reader: This is a customized book for Old Dominion ...

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FAST FOURIER TRANSFORM 593Physical ProblemsChapter 11.00C Physical problem – civil engineering 593Chapter 11.01 Introduction <strong>to</strong> Fourier series 606Chapter 11.02 Continuous Fourier series 611Derivation of <strong>for</strong>mulas <strong>for</strong> a 0 , a k , and b k 611A FORTRAN program <strong>for</strong> finding Fourier coefficients a 0 , a k , and b k 612Multiple-choice test 621Chapter 11.03 Fourier trans<strong>for</strong>m pair: frequency and time domain 624Representation of a complex number in polar coordinates 629Important notes 630Non-periodic function 632Multiple-choice test 635Chapter 11.04 D<strong>is</strong>crete Fourier trans<strong>for</strong>m 637Derivations of DFT Formulas 637Detailed explanation about aliasing phenomenon, Nyqu<strong>is</strong>t samples, Nyqu<strong>is</strong>t rate 641Multiple-choice test 646Chapter 11.05 In<strong>for</strong>mal development of Fast Fourier Trans<strong>for</strong>m (FFT) 648Fac<strong>to</strong>rized matrix and fur<strong>the</strong>r operation count 650Companion node observation 655Companion node spacing 655Companion node computation 655Determination of W P 656Computer implementation <strong>to</strong> find value of “P” (in W P ) 657Multiple-choice test 666Chapter 11.06 Theoretical Development of FFT 669FFT algorithms <strong>for</strong> N = 2 r 669Consider <strong>the</strong> case N = 2 r = 2 3 = 8 671Consider <strong>the</strong> general case N = 2 r (r = any integer number) 673FFT algorithms <strong>for</strong> N = r 1 r 2 (where r 1 , r 2 are integers) 675General FFT algorithms and relationships between FFT <strong>for</strong> N = 2N = r 1 r 2 r 3 = (2)(2)(2) = 8 679Twiddle fac<strong>to</strong>r FFT algorithms <strong>for</strong> N = (r 1 = 4) (r 2 = 4) = 16 681Multiple-choice test 684(r = 3)=8 versusIndex 688Answers <strong>to</strong> Selected Problems 694xxv

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