Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Practical Optimization: Algorithms and Engineering Applications
Practical Optimization: Algorithms and Engineering Applications
Optimal Design of Magnitude Responses of Rational Infinite Impulse Response Filters
IEEE Transactions on Signal Processing
A WISE method for designing IIR filters
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Multistage IIR filter design using convex stability domains defined by positive realness
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
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A methodology for the design of recursive digital filters having nearly linear phase response is proposed. The underlying design method is of the direct type whereby the filter is designed as a single unit. The design problem is formulated as a cascade of filter sections where each section is represented by a biquadratic transfer function either in the conventional polynomial form or in the polar form. The design problem is then solved using a constrained Newton's method whereby constraints are used to assure the stability of the filter, to control the step size in order to achieve fast convergence, and to eliminate a real-axis pole-migration problem that often interferes with the design process. Several design examples demonstrate that when compared with filters designed using existing state-of-the-art methods, the proposed methodology yields filters having reduced order and/or improved performance.