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2-D FIR filter design from independent "Small" generating kernels using a mean square and Tchebyshev error criterion

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2 Author(s)
Faugeras, O. ; I.R.I.A. LABORIA, Le Chesnay, France ; Abramatic, J.F.

We present and compare two design techniques for a large class of 2-D FIR filters. They can be implemented by means of sequential convolutions with small size kernels. Design methods are based upon the minimization of either the mean square or the maximum error between the synthesized filter and a design prototype in the Fourier domain.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.  (Volume:4 )

Date of Conference:

Apr 1979