Minimax Design of M-D Interpolated FIR Filters using Convex-Concave Procedure
Conference
Nanthakumar, P, Edussooriya, CUS, Wijenayake, C et al. (2024). Minimax Design of M-D Interpolated FIR Filters using Convex-Concave Procedure
. 10.1109/ISCAS58744.2024.10558262
Nanthakumar, P, Edussooriya, CUS, Wijenayake, C et al. (2024). Minimax Design of M-D Interpolated FIR Filters using Convex-Concave Procedure
. 10.1109/ISCAS58744.2024.10558262
We propose a minimax design method for multi-dimensional (M-D) interpolated finite-support impulse response (IFIR) filters. As a result of the cascade structure of an MD IFIR filter, the optimization problem of the minimax design is nonconvex. In order to solve this nonconvex optimization problem, we employ a convex-concave procedure, where each iteration solves a convex constrained optimization problem. We present experimental results to confirm the effectiveness and the superior performance of the proposed method compared to previously proposed minimax designs of M-D IFIR filters. Furthermore, we present an implementation of M-D IFIR filter on the Xilinx Kintex UltraScale KCU105 field-programmable gate array, where a quantization error of -60.59 dB is achieved with the coefficient word length of 24 bits.
