Download e-book for kindle: Computational frameworks for the fast fourier transform by Charles Van Loan

By Charles Van Loan

ISBN-10: 0898712858

ISBN-13: 9780898712858

The main entire therapy of FFTs up to now. Van mortgage captures the interaction among arithmetic and the layout of powerful numerical algorithms--a serious connection as extra complicated machines develop into on hand. A stylized Matlab notation, that's widely used to these engaged in high-performance computing, is used. the quick Fourier remodel (FFT) relatives of algorithms has revolutionized many components of clinical computation. The FFT is without doubt one of the most generally used algorithms in technology and engineering, with functions in nearly each self-discipline. This quantity is vital for execs attracted to linear algebra in addition to these operating with numerical tools. The FFT is usually an excellent car for instructing key elements of medical computing.

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Tukey (1965). "An Algorithm for the Machine Calculation of Complex Fourier Series," Math. Comp. 19, 297-301. A purely scalar derivation of the radix-2 splitting is given. ) An alternative proof of the Cooley-Tukey factorization may be found on page 100 of R. Tolimieri, M. An, and C. Lu (1989). Algoritkmi for Discrete Fourier Transform and Convolution, Springer-Verlag, New York. 3, the combine phase of the Cooley-Tukey process involves a sequence of butterfly updates of the form x *— Aqx, where We now examine this calculation and the generation of the weights u>{.

2), we obtain 26 CHAPTER 1. 5 (Logarithmic Recursion) If L = 2f/ and L*. = L/2, then the following algorithm computes the vector This algorithm requires 2L flops. 2): These can be thought of as interpolation formulae, since A is "in between" A — B and A + B. To derive the method, it is convenient to define Ck = cos(27rk/L) and sk = sm(27rk/L) for k = 0:1+ - 1. 3) that for integers p and j. Suppose L — 64 and that for p — 0, 1, 2, 4, 8, 16, and 32 we have computed (c p,sp). 4. WEIGHT AND BUTTERFLY COMPUTATIONS 27 In general, the weight vector u;32(0:31) is filled in through a sequence of steps which we depict in Fig.

Finally, we set up a model of vector computation and use it to anticipate the running time of one particular butterfly algorithm. 11 A Preliminary Note On Roundoff Error It is not our intention to indulge in a detailed roundoff error analysis of any algorithm. However, a passing knowledge of finite precision arithmetic is crucial in order to appreciate the dangers of reckless weight computation. The key thing to remember is that a roundoff error is usually sustained each time a floating point operation is performed.

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Computational frameworks for the fast fourier transform by Charles Van Loan


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