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This paper proposes a new method for the design of complex coefficient finite impulse response (FIR) filters with group delay constraints using second-order cone programming (SOCP). SOCP is a powerful convex optimization method, where linear and convex quadratic inequality constraints can readily be incorporated. It is used in this study for the optimal minimax design of linear-phase and low-delay...
A unified approach for the optimal design of two-dimensional (2-D) filters using second-order cone programming (SOCP) is proposed in this paper. The designing of 2-D FIR filters can be achieved by minimizing the frequency domain response error measure between the designed filter response and the desired one. Some other constraints can also be imposed in the passband or/and stopband to satisfy application-oriented...
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