Design of Complex IIR Digital Filters using Transformed Variables
Kenneth W. Martin
Abstract
Kenneth W. Martin
Abstract
The design of real IIR digital filters using conformal transform variables has been extensively researched; this paper deals with the design of complex IIR digital filters having non-symmetric transfer functions, and directly designed using transformed variables. The transformation used is an extension of a transform used previously for continuous-time complex filters; the extension adds a bilinear function which enables the transform to be used for designing discrete-time transfer functions. Approximations having equiripple and monotonically decreasing passbands are supported. Methods for improving numerical accuracy and minimizing coefficient sensitivities are described. A high-order cascade filter example simulated using Monte Carlo analysis demonstrates almost ideal accuracy.
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The design of real IIR digital filters using conformal transform variables has been extensively researched; this paper deals with the design of complex IIR digital filters having non-symmetric transfer functions, and directly designed using transformed variables. The transformation used is an extension of a transform used previously for continuous-time complex filters; the extension adds a bilinear function which enables the transform to be used for designing discrete-time transfer functions. Approximations having equiripple and monotonically decreasing passbands are supported. Methods for improving numerical accuracy and minimizing coefficient sensitivities are described. A high-order cascade filter example simulated using Monte Carlo analysis demonstrates almost ideal accuracy.
Key concepts: Bilinear transform, Infinite impulse response, 2D Filters, Transfer function, Digital filter, Network synthesis filters, Transformation (genetics), Algorithm