Analytic closed-form matrix for designing higher order digitaldifferentiators using eigen-approach

Authors:
Soo-Chang Pei;Jong-Jy Shyu
Affiliations:
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei;-
Venue:
IEEE Transactions on Signal Processing
Year:
1996

Citing 0
Cited 3

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Neural weighted least-squares design of FIR higher-order digital differentiators

DSP'09 Proceedings of the 16th international conference on Digital Signal Processing

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Abstract

The eigenfilter method has been proposed for designing higher order differentiators very effectively. The design method is based on the computation of an eigenvector of an appropriate real, symmetric, and positive-definite matrix. The elements of this matrix are usually evaluated by very time-consuming numerical integration. We present simple analytic closed-form formulas to compute these matrix-elements very efficiently. Hence, the eigenfilter approach for differentiators becomes much easier and more accurate than before and design time is reduced greatly for designing long filters