Abstract
A technique is proposed to design stable two-dimensional (2-D) recursive digital filters that best approximate, in the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l_p</tex> -sense, a prescribed impulse or step response, using a local state-space model. The Davidon-Fletcher and Powell optimization algorithm is used to minimize the performance measure. Several designs for first-quadrant and asymmetric half-plane filters are solved to illustrate the proposed technique.
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