Design of computationally efficient 2-D narrow-band FIR filters using sampling kernels and McClellan transformation

In this paper, a new method of designing 2-D linear-phase narrowband FIR filters is proposed by extending the conventional method of designing computationally efficient sharp linear-phase FIR filters, whereby the McClellan transformation and sampling kernels are utilized. In particular, by applying the McClellan transformation to the sampling kernels and 1-D prototype model filters, we can design various types of 2-D narrow-band FIR filters (e.g., circular, elliptic, and diamond-shaped) with sharp transition. Design examples are included to demonstrate the effectiveness of the proposed design approach.