An \(L_1\)-Method: Application to Digital Symmetric Type-II FIR Filter Design

In this paper, the design of digital symmetric type-II linear-phase FIR low-pass (LP) and band-pass (BP) filter is formulated using the \(L_1\) optimality criterion. In order to obtain better filter performance we compute the optimal filter coefficients using the \(L_1\)-norm based fitness function. The use of \(L_1\) technique in digital filter design applications has the advantages of a flatter passband and high stopband attenuation over other gradient-based filter optimization methods. This technique is applied to optimally design type-II FIR filters. Simulations and statistical analysis have been performed for the 25th order LP and BP filters. It is observed, that the \(L_1\)-based filter results is an improved design in comparison with the filters obtained using the equiripple, least-square and window techniques.

[1]  Ravi P. Ramachandran,et al.  A unified and efficient least-squares design of linear-phase nonrecursive filters , 1994, Signal Process..

[2]  J. McClellan,et al.  Chebyshev Approximation for Nonrecursive Digital Filters with Linear Phase , 1972 .

[3]  Chun-Te Chen,et al.  Design of high-order digital differentiators using L/sub 1/ error criteria , 1995 .

[4]  Yonina C. Eldar,et al.  An $L_1$-Method for the Design of Linear-Phase FIR Digital Filters , 2007, IEEE Transactions on Signal Processing.

[5]  Yonina C. Eldar,et al.  The Design of Optimal L1Linear Phase FIR Digital Filters , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[6]  Tarun Kumar Rawat,et al.  L1 error criterion based optimal FIR filters , 2014, 2014 Annual IEEE India Conference (INDICON).

[7]  Tarun Kumar Rawat,et al.  Optimal design of FIR high pass filter based on L1 error approximation using real coded genetic algorithm , 2015 .

[8]  Pao-Ta Yu,et al.  On the existence and design of the best stack filter based associative memory , 1992 .

[9]  G. A. Watson An Algorithm for Linear L 1 Approximation of Continuous Functions , 1981 .

[10]  Sanjit K. Mitra,et al.  Digital Signal Processing: A Computer-Based Approach , 1997 .

[11]  Wen-Shyong Yu,et al.  An l/sub 1/-approximation based method for synthesizing FIR filters , 1992 .

[12]  Andreas Antoniou,et al.  New improved method for the design of weighted- Chebyshev, nonrecursive, digital filters , 1983 .

[13]  J. Bee Bednar,et al.  Fast algorithms for lpdeconvolution , 1985, IEEE Trans. Acoust. Speech Signal Process..

[14]  Tarun Kumar Rawat,et al.  Optimal design of FIR fractional order differentiator using cuckoo search algorithm , 2015, Expert Syst. Appl..

[15]  Minsoo Suk,et al.  On the frequency weighted least-square design of finite duration filters , 1975 .