An iterative technique for optimally designing a separable 2D FIR filter

The optimal design of a separable two‐dimensional (2D) finite impulse response (FIR) filter is a nonlinear programming problem. In this paper, an iterative alternating optimization technique for optimally designing the separable 2D FIR filter in the mini‐max sense and the least‐square sense is proposed. Implementation of the proposed technique only requires a suitable initial solution. The simulation experiment validates the effectiveness of the proposed technique. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.