Matrix analysis
Discrete-time signal processing
Discrete-time signal processing
MWSCAS '98 Proceedings of the 1998 Midwest Symposium on Systems and Circuits
Practical Genetic Algorithms with CD-ROM
Practical Genetic Algorithms with CD-ROM
Design of nonuniform filter bank transceivers for frequency selective channels
EURASIP Journal on Applied Signal Processing
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Journal of Global Optimization
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 03
Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Self-organizing genetic algorithm based tuning of PID controllers
Information Sciences: an International Journal
An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem
Applied Soft Computing
A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting
Information Sciences: an International Journal
Associating visual textures with human perceptions using genetic algorithms
Information Sciences: an International Journal
An improved and simplified design of pseudo-transmultiplexer using Blackman window family
Digital Signal Processing
A swarm intelligence approach to the quadratic minimum spanning tree problem
Information Sciences: an International Journal
Filter Design With Low Complexity Coefficients
IEEE Transactions on Signal Processing - Part II
DFT-modulated filterbank transceivers for multipath fading channels
IEEE Transactions on Signal Processing
Optimal design of nonuniform FIR transmultiplexer using semi-infinite programming
IEEE Transactions on Signal Processing
Multicarrier modulation for data transmission: an idea whose time has come
IEEE Communications Magazine
Editorial: Special issue: Swarm intelligence and its applications
Information Sciences: an International Journal
Swarm intelligence approaches to estimate electricity energy demand in Turkey
Knowledge-Based Systems
Black hole: A new heuristic optimization approach for data clustering
Information Sciences: an International Journal
Engineering Applications of Artificial Intelligence
Artificial bee colony algorithm: a survey
International Journal of Advanced Intelligence Paradigms
A novel artificial bee colony algorithm with Powell's method
Applied Soft Computing
Performance analysis of the coarse-grained parallel model of the artificial bee colony algorithm
Information Sciences: an International Journal
Integrating the artificial bee colony and bees algorithm to face constrained optimization problems
Information Sciences: an International Journal
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Nonuniform filter bank transmultiplexer (NUFB TMUX) can be used to implement multicarrier communication system where applications with different data rates are to be multiplexed. It is possible to reduce the hardware complexity of the NUFB TMUX by representing the filter coefficients in canonic signed digit (CSD) format. In this paper the design of a multiplier-less NUFB TMUX is presented. NUFB TMUX with continuous filter coefficients is designed and the filter coefficients are synthesized in CSD format. Filter coefficient synthesis in CSD format is formulated as an optimization problem and an artificial bee colony (ABC) algorithm is used for the optimization. To preserve the canonic nature of filter coefficients in the ABC algorithm the filter coefficients are encoded using a look-up table. The look-up table also provides the number of signed power-of-two (SPT) terms in the CSD numbers. Simulation results show that the performance of the multiplier-less NUFB TMUX designed using the proposed ABC algorithm is much better than that of the multiplier-less NUFB TMUX obtained by rounding the continuous coefficients of filters to the nearest CSD number. Multiplier-less NUFB TMUX designed by the proposed ABC algorithm also outperforms that designed using genetic algorithm (GA) and particle swarm optimization (PSO).