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Convolution, Correlation, Fourier Transforms

Convolution, Correlation,& Fourier TransformsJames R. Graham11/25/2009 Introduction A large class of signal processingtechniques fall under the category ofFourier transform methods These methods fall into two broad categories Efficient method for accomplishing common datamanipulations Problems related to the Fourier transform or thepower spectrumTime & Frequency Domains A physical process can be described in two ways In the time domain, by h as a function of time t, that ish(t), - < t < In the frequency domain, by H that gives its amplitudeand phase as a function of frequency f, that is H(f), with- < f < In general h and H are complex numbers It is useful to think of h(t) and H(f) as twodifferent representations of the same function One goes back and forth between these tworepresentations by Fourier transformsFourier Transforms If t is measured in seconds, then f is in cycles persecond or Hz Other units , if h=h(x) and x is in meters, then H is a function ofspatial frequency measured in cycles per meter H(f)=h(t)

Nov 25, 2009 · Fourier Transforms & FFT •Fourier methods have revolutionized many fields of science & engineering –Radio astronomy, medical imaging, & seismology •The wide application of Fourier methods is due to the existence of the fast Fourier transform (FFT) •The FFT permits rapid computation of the discrete Fourier transform

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  Fast, Transform, Fourier, Fourier transform, Fast fourier transform

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