Abstract
In this chapter, we will discuss a few methods that are available for the design of two-dimensional (2-D) IIR filters which approximate not only a specified magnitude response but also a constant group delay. The first three methods assume a certain structure for the desired transfer function that allows the computer-aided optimization procedure to assure stability of the 2-D filter. Optimization of a suitably defined performance index (objective function) is carried out such that the magnitude and group delay are approximated in either maximally flat, or equiripple sense but more often in the least squares sense. Depending on the performance index chosen and the optimization criteria, the complexity of computation can be very high; but irrespective of such choices, there is always the problem of choosing an optimal order for the desired filter. If only the magnitude is to be approximated and the specified response is piece-wise constant over finite regions like circular, or elliptic regions in the ω1 — ω2 plane, then these approximation techniques have to try different order for the filter and choose the ‘best’ design that meets the magnitude specifications. These three methods can be applied to the design of 1-D IIR filters as a special case of the 2-D IIR filter approximation problem. In turn, these methods can be viewed as extensions of the methods used for approximating the magnitude and group delay response of the 1-D IIR filters.
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Shenoi, B.A. (1999). Magnitude and Delay Approximation of 2-D IIR Filters. In: Magnitude and Delay Approximation of 1-D and 2-D Digital Filters. Digital Signal Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58573-9_4
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DOI: https://doi.org/10.1007/978-3-642-58573-9_4
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