论文信息 - Design of two-dimensional linear-phase nonrecursive filters using a least-squares criterion

Design of two-dimensional linear-phase nonrecursive filters using a least-squares criterion

Abstract A method is described which can be used to design two-dimensional nonrecursive linear-phase filters. The approach is based on formulating the mean-square error between the amplitude responses of the practical and ideal digital filters as a quadratic function. The coefficients of the filters are obtained by solving a set of linear equations. This method leads to a lower mean-square error and is computationally more efficient than the eigenfilter method.

Ravi P. Ramachandran | Sunder S. Kidambi | S. Kidambi | R. Ramachandran

[1] A.K. Krishnamurthy,et al. Multidimensional digital signal processing , 1985, Proceedings of the IEEE.

[2] G. Stewart. Introduction to matrix computations , 1973 .

[3] Andreas Antoniou,et al. Design of digital differentiators satisfying prescribed specifications using optimization techniques , 1989, IEEE International Symposium on Circuits and Systems,.

[4] Jorge Herbert de Lira,et al. Two-Dimensional Signal and Image Processing , 1989 .

[5] Ravi P. Ramachandran,et al. Least-squares design of higher order nonrecursive differentiators , 1994, IEEE Trans. Signal Process..

[6] S. Pei,et al. 2-D FIR eigenfilters: a least-squares approach , 1990 .

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

[8] Ravi P. Ramachandran,et al. An efficient least-squares approach for the design of two-dimensional linear-phase nonrecursive filters , 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

[9] C. Charalambous. The performance of an algorithm for minimax design of two-dimensional linear phase FIR digital filters , 1985 .

[10] A. Antoniou,et al. Design of digital differentiators satisfying prescribed specifications using optimisation techniques , 1991 .

[11] Truong Q. Nguyen,et al. Eigenfilters: A new approach to least-squares FIR filter design and applications including Nyquist filters , 1987 .