Title :
2-D FIR filters design using least square error with scaling-free McClellan transformation
Author :
Lu, Hung-Ching ; Yeh, Kuo-Hsien
Author_Institution :
Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan
fDate :
10/1/2000 12:00:00 AM
Abstract :
The optimal coefficients of the scaling-free McClellan transformation and the 1-D prototype filters for the design of 2-D digital filters are designed in this brief. These 2-D filters include fan filters with arbitrary inclination, elliptically symmetric filters, elliptically symmetric filters with arbitrary orientation, circular filters and diamond-shaped filters
Keywords :
FIR filters; elliptic filters; least squares approximations; two-dimensional digital filters; 2D FIR filters; arbitrary inclination; arbitrary orientation; circular filters; diamond-shaped filters; elliptically symmetric filters; fan filters; least square error; optimal coefficients; scaling-free McClellan transformation; Chebyshev approximation; Cutoff frequency; Digital filters; Finite impulse response filter; Frequency response; Least squares approximation; Least squares methods; Low pass filters; Polynomials; Prototypes;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
