A new WLS method for the design of two-dimensional FIR digital filters
Chaur‐Heh Hsieh, Ying-Luan Han, Chung‐Ming Kuo, Yue‐Dar Jou · 2002
Recently, the weighted least square (WLS) technique for the FIR filter design has received wide attention, since it is computationally more efficient than other minimax techniques. However, for two-dimensional (2-D) filter design, the conventional WLS technique rearranges the frequency samples and the impulse filter coefficients with 2-D form into 1-D form, thus the WLS technique results in expensive computation. This paper presents a new 2-D FIR filter design method which retains the frequency samples and impulse filter coefficients in their 2-D form. Experimental results show that the new technique is computationally very efficient and leads to nearly-optimal approximations.