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2-D FIR filters design using least square error with scaling-free McClellan transformation

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2 Author(s)
Hung-Ching Lu ; Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan ; Kuo-Hsien Yeh

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

Published in:

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on  (Volume:47 ,  Issue: 10 )

Date of Publication:

Oct 2000

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