Abstract
In digital filtering applications, it is known that Infinite-duration Impulse Response (IIR) filters [108], [372], [418], [26] provide a computational advantage over Finite-duration Impulse Response (FIR) filters that are designed to meet the same magnitude specifications. In the early work on multirate digital signal processing, this advantage of IIR filters did not carry over to their use in sampling rate conversions. The initial disadvantage arose from the fact that a conventional approach to IIR filter design and realization does not allow the exploitation of rate conversion in reducing the computational burden. However, a different approach, based on the use of a polyphase structure, provides a powerful framework that proves to be common to a low-complexity implementation of both IIR and FIR filters for rate conversion. In this chapter we examine the properties and design of IIR filter banks for one-dimensional and two-dimensional signals.
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© 1996 Kluwer Academic Publishers
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Ansari, R. (1996). IIR Filter Banks and Wavelets. In: Akansu, A.N., Smith, M.J.T. (eds) Subband and Wavelet Transforms. The Kluwer International Series in Engineering and Computer Science, vol 340. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0483-8_4
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DOI: https://doi.org/10.1007/978-1-4613-0483-8_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-7580-0
Online ISBN: 978-1-4613-0483-8
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