Abstract
The first techniques for discrete-time filter design we shall study involve transformation of the designs for continuous-time filters. The classical filter approximations are of particular interest because they are equally applicable, in most cases, to continuous- or discrete-time design and because they are so widely known and satisfy various optimality criteria. Of necessity, discrete-time filters derived by transformation from continuous-time designs are IIR filters because the number of finite poles must equal or exceed the number of finite zeros in the continuous-time case in order to prevent infinite gain at infinite frequency.
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© 1996 Springer Science+Business Media New York
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Jackson, L.B. (1996). IIR Filter Design by Transformation. In: Digital Filters and Signal Processing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2458-5_8
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DOI: https://doi.org/10.1007/978-1-4757-2458-5_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5153-3
Online ISBN: 978-1-4757-2458-5
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