Download Digital Fourier Analysis: Advanced Techniques by Ken'iti Kido PDF

By Ken'iti Kido

This textbook is a radical, available advent to complicated electronic Fourier research for complicated scholars. Assuming wisdom of the quick Fourier rework, this booklet covers complex subject matters together with the Hilbert remodel, cepstrum research and the two-dimensional Fourier transform.

Saturated with transparent, coherent illustrations, "Digital Fourier research: quantity 2" contains perform difficulties and thorough Appendices. As a relevant characteristic, the e-book comprises interactive applets (available on-line) that reflect the illustrations. those effortless applets animate recommendations interactively, permitting the consumer to scan with the underlying arithmetic. The applet resource code in visible simple is supplied on-line, permitting complicated scholars to tweak and alter the courses for extra refined results.

A whole, intuitive advisor, "Digital Fourier research, quantity 2" is a necessary reference for college students in technological know-how and engineering.

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Example text

In this simulation, the spacing between adjacent sets of sample sequences are varied between 7 and 19. The DFT of the cross-correlation function is shown by the right side of Fig. 18(0). This corresponds to Eq. 27). The cross-power spectrum is a function made from a real even function and an imaginary odd function. They are shown separately in the right side of the figure only in the positive frequency region. Residual power ratio is also shown at the right corner of each correlation function (impulse responses).

18(0) shows the case when the cross-correlation function is calculated in the time domain. 9 %. The next three results are obtained using Eq. 30) in a similar manner to those discussed in Sects. 10. The residual power ratios of Fig. 9 %, respectively. The last method (3), that avoids the circular correlation problem, gives much smaller errors than the other methods. The cross-correlation between the input and output becomes the impulse response of the system only when the auto-correlation function of the input sequence is equal to one at m (lag) = 0 and 0 elsewhere.

In the programs associated with the figures, the student can choose various conditions and numbers. By trying various cases, the student will learn more that is not discussed in this chapter. 12 Exercise 1. What is the standard deviation of a sine function with amplitude 1? 2. Why is Eq. 4) equal to two when x(n) and y(n) are completely uncorrelated? 3. Why is Eq. 4) equal to four when x(n) and y(n) have the same magnitudes but their signs are opposite? 52 2 Correlation 4.

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