Abstract
Signal filtering is one of the main applications of signal processing, so textbooks usually include important chapters on this functionality. There are also books specifically devoted to analog filters, like [4] (H.G.Dimopoulos, Analog Electronic Filters, 2012), [9] (L.D. Paarmann, Design and Analysis of Analog Filters: A Signal Processing Perspective, 2003), [13] (L. Wanhammar, Analog Filters Using MATLAB, 2009). Filters are used for many purposes. For example, the case of radio tuning: a narrow band-pass filter is used to select just one among the many radio stations that you can find across a large range of electromagnetic frequencies. In other applications, the desire could be to let pass low or high frequencies, or, complementary, to attenuate high or low frequencies. To avoid interferences notch filters, which reject a certain frequency band, are used. There are cases that require a combination of attenuations in certain frequency bands and amplification in other frequency bands. This chapter focuses in particular on five important types of filters: Butterworth, Chebyshev I, Chebyshev 2, elliptic, and Bessel filters.
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Giron-Sierra, J.M. (2017). Analog Filters. In: Digital Signal Processing with Matlab Examples, Volume 1. Signals and Communication Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-2534-1_4
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DOI: https://doi.org/10.1007/978-981-10-2534-1_4
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