Digital filter design
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Adaptive Laguerre network realization
Signal Processing - Special section on signal processing technologies for short burst wireless communications
Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme
Journal of Computational and Applied Mathematics - Special issue on nonlinear programming and variational inequalities
Laguerre digital filter design
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Design of narrow-band Laguerre filters using a min-max criterion
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01
The design of arbitrary FIR digital filters using the eigenfiltermethod
IEEE Transactions on Signal Processing
Complex Chebyshev approximation for FIR digital filters
IEEE Transactions on Signal Processing
Optimal design of FIR filters with the complex Chebyshev errorcriteria
IEEE Transactions on Signal Processing
Optimum Laguerre networks for a class of discrete-time systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Constrained least square design of FIR filters without specifiedtransition bands
IEEE Transactions on Signal Processing
Optimality conditions for truncated Laguerre networks
IEEE Transactions on Signal Processing
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Complex coefficient optimal digital Laguerre filter design with arbitrary asymmetric frequency response is developed. The optimization scheme is based on the weighted least square error criterion with complex Chebyshev error used as its magnitude and phase constraints. Developed version of the active set method has been exploited to solve the resultant semi-infinite quadratic programming problem. A quick and practical approach is proposed to evaluate the suboptimal value of the Laguerre parameter close to its optimum value. The design technique can be applied to design of asymmetric FIR filters just by setting the Laguerre parameter equal to zero. The accuracy of the processes has been verified by illustrating some numerical examples.