IEEE Transactions on Acoustics Speech and Signal Processing · 1983 · 32 citations · 36 references
EngineeringComputational EngineeringAnalog ElectronicsDesign ComputationPerformance-based DesignDigital Signal ProcessingFrequency ResponseNumerical AlgorithmsNumerical AnalysisSmall-signal AnalysisTransfer FunctionsChebyshev ApproximationFilter ApproximationFilter DesignImpulse ResponseImpulse Response ModelingPolesRecursive Digital FilteringRecursive Filter
A new technique for rational digital filter design is presented which is based on results in complex function theory due to Takagi, Krein, and others. Starting from a truncated or windowed impulse response, the method computes the unique optimum rational Chebyshev approximation with a prescribed number of stable poles. Both phase and magnitude are matched. Deleting the noncausal (unstable) part of the Chebyshev approximation yields a stable approximation of specified order (M,N) which is close to optimal in the Chebyshev sense. No iteration is involved except in the determination of an eigenvalue and eigenvector of the Hankel matrix of impulse response coefficients. In this paper the algorithm is specified and practical examples are discussed.
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Theory and application of digital signal processing
T.N. Trick · Proceedings of the IEEE · 1975 · 1.9K citations
J.W. Mark · Proceedings of the IEEE · 1975 · 1.6K citations
Matrix Eigensystem Routines--EISPACK Guide
Thomas Aird, Brian T. Smith, J. M. Boyle et al. · Mathematics of Computation · 1976 · 615 citations
Natural Sciences, Computer Engineering, Finite Element Analysis +11