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Technical Java™: Developing Scientific and Engineering Applications by Grant Palmer

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Chapter 22. Fourier Transforms

An endeavor common to a wide variety of scientific and engineering disciplines is the need to analyze or process a signal from a data source. A signal can be characterized either in the time domain (amplitude versus time) or in the frequency domain (frequency magnitude versus frequency). Sometimes it may be more convenient to work in the time domain, sometimes in the frequency domain, and there are times when you will want to switch back and forth between the two domains.

A Fourier transform is a way of switching between time and frequency domains. It is based on the theory that a signal can be decomposed into an infinite series of sinusoidal functions. The sinusoidal functions can identify the frequencies and amplitudes ...

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