Ho, C. Y.F. and Ling, WingKuen and Liu, YanQun and Tam, P. K. S. and Teo, KokLay (2005) Optimal design of nonuniform FIR transmultiplexer using semiinfinite programming. IEEE Transactions on Signal Processing, 53 (7). pp. 25982603. ISSN 1053587x
Documents 


PDF
letter_optim_transmultiplexer.pdf  Whole Document 246kB 
Full text URL: http://dx.doi.org/10.1109/TSP.2005.849209
Abstract
This paper considers an optimum nonuniform FIR transmultiplexer design problem subject to specifications in the frequency domain. Our objective is to minimize the sum of the ripple energy for all the individual filters, subject to the specifications on amplitude and aliasing distortions, and to the passband and stopband specifications for the individual filters. This optimum nonuniform transmultiplexer design problem can be formulated as a quadratic semiinfinite programming problem. The dual parametrization algorithm is extended to this nonuniform transmultiplexer design problem. If the lengths of the filters are sufficiently long and the set of decimation integers is compatible, then a solution exists. Since the problem is formulated as a convex problem, if a solution exists, then the solution obtained is unique and the local solution is a global minimum.
Item Type:  Article 

Additional Information:  This paper considers an optimum nonuniform FIR transmultiplexer design problem subject to specifications in the frequency domain. Our objective is to minimize the sum of the ripple energy for all the individual filters, subject to the specifications on amplitude and aliasing distortions, and to the passband and stopband specifications for the individual filters. This optimum nonuniform transmultiplexer design problem can be formulated as a quadratic semiinfinite programming problem. The dual parametrization algorithm is extended to this nonuniform transmultiplexer design problem. If the lengths of the filters are sufficiently long and the set of decimation integers is compatible, then a solution exists. Since the problem is formulated as a convex problem, if a solution exists, then the solution obtained is unique and the local solution is a global minimum. 
Keywords:  Nonuniform transmultiplexer, semiinfinite programming, dual parameterization. 
Subjects:  H Engineering > H610 Electronic Engineering 
Divisions:  College of Science > School of Engineering 
ID Code:  3070 
Deposited By:  INVALID USER 
Deposited On:  28 Jul 2010 14:29 
Last Modified:  13 Mar 2013 08:43 
Repository Staff Only: item control page