Abstract
Signal processing refers to techniques for manipulating a signal to minimize the effects of noise, to correct all kinds of unwanted distortions or to separate various components of interest. Most signal processing algorithms include the design and realization of filters. Afilter can be described as a system that transforms signals.System theory provides the mathematical background for filter design and realization. A filter as a system has an input and an output, where theoutput signal y(t) is modified with respect to theinput signal x(t) (Fig. 6.1). Thesignal transformation is often called convolution or, if fiiters are applied, filtering.
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Trauth, M.H. (2007). Signal Processing. In: MATLAB® Recipes for Earth Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72749-1_6
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DOI: https://doi.org/10.1007/978-3-540-72749-1_6
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