Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Introduction to signal processing
Introduction to signal processing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Optimal design of real and complex minimum phase digital FIR filters
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Editorial: Hybrid learning machines
Neurocomputing
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Editorial: Hybrid intelligent algorithms and applications
Information Sciences: an International Journal
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Designing fusers on the basis of discriminants – evolutionary and neural methods of training
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Teaching DSP software development: from design to fixed-point implementations
IEEE Transactions on Education
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In this paper a method of design minimal phase digital filters with arbitrary amplitude characteristics is presented. The filters designed using proposed method can be directly implemented in the hardware. Filter coefficients obtained using proposed method are immune on rounding error. Because these coefficients are created in required bit word length (based on numerical format which is used in given DSP system). The proposed method is based on connection of evolutionary algorithm and Yule Walker method. Due to this hybridization, digital filters are designed faster (than using only evolutionary algorithm) and possess much better properties (then using only Yule Walker method). Digital filters obtained using proposed method are ready to be implemented in DSP system without any additional errors. The four minimal phase digital filters (with coefficients in Q.15 format) and with arbitrary amplitude characteristics are designed using proposed method. The results obtained using proposed method are compared with results obtained using other techniques taken from literature.