5Wavelets and Fourier Transforms

5.1 Introduction

In this chapter we continue studying transformation methods. The main idea behind the techniques presented is to transform data from the spatial domain to a frequency domain. We start by introducing the Fourier transform since it is simpler and historically older.

5.2 Dynamic Fourier Analysis

A physical process can be described either in the time domain, by the values of some quantity images as a function of time images, for example, images, or in the frequency domain, where the process is specified by giving its amplitude images (generally a complex number) as a function of frequency images, that is, images, with images. For many applications, it is useful to think of images and as being ...

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