Abstract
Analog signals can be filtered directly using electrical circuits. However, analog signals are normally converted to digital signals and filtered numerically. In the time domain, a digital filter is characterized by a discrete impulse response function (h n ) and in the frequency domain by its discrete Fourier transform, the discrete frequency response function (H k ). The input-output relationships are described in the time domain by the discrete convolution
and, according to the convolution theorem, in the frequency domain by the product
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© 2000 Springer-Verlag Berlin Heidelberg
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Buttkus, B. (2000). Basics of Digital Filtering. In: Spectral Analysis and Filter Theory in Applied Geophysics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57016-2_16
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DOI: https://doi.org/10.1007/978-3-642-57016-2_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-62943-3
Online ISBN: 978-3-642-57016-2
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