Journal article
Three different criteria for the design of two-dimensional zero phase FIR digital filters
An error criterion for the design of FIR filters is proposed. Filters with relatively many free filter coefficients are designed using the Chebyshev, the weighted-least-squares (WLS), and a new partitioned minimax error criterion, and the performance of the filters is compared. A general and fast technique for the WLS design is also presented.>
Language: | English |
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Publisher: | IEEE |
Year: | 1993 |
Pages: | 3070-3074 |
ISSN: | 19410476 and 1053587x |
Types: | Journal article |
DOI: | 10.1109/78.277812 |
ORCIDs: | Conradsen, Knut and Ersbøll, Bjarne Kjær |
Algorithm design and analysis Chebyshev approximation Chebyshev criterion Detectors Digital filters Finite impulse response filter Gaussian noise Least squares methods Minimax techniques Speech analysis Statistics design criteria filtering and prediction theory free filter coefficients least squares approximations linear programming minimax techniques partitioned minimax error criterion two-dimensional digital filters two-dimensional zero phase FIR digital filters weighted least squares criterion