We present an efficient and novel procedure to design two-dimensional (2D) linearphase IIR filters with less hardware resource. A 2D linear-phase FIR filter prototype is first designed using semidefinite programming (SDP). The prototype filter is then decomposed into modular structures via Schur decomposition method (SDM). Each section is reduced into IIR structures using a novel digital system identification technique called the discrete-time vector fitting (VFz). Examples with image processing application show that the algorithm exhibits fast convergence and produces low hardware cost and accurate filters.
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Lei, CU., Cheung, CM., Wong, N. (2008). Efficient 2D Linear-Phase IIR Filter Design and Application in Image Processing. In: Huang, X., Chen, YS., Ao, SI. (eds) Advances in Communication Systems and Electrical Engineering. Lecture Notes in Electrical Engineering, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74938-9_28
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DOI: https://doi.org/10.1007/978-0-387-74938-9_28
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