Abstract
This chapter proposes system-, block-, and circuit-level design procedures that use computational intelligence techniques, taking into consideration the specifications for telecommunication receivers. The design process starts with selecting the proper architecture (topology) of the system, using a fuzzy expert solution. Next, at the block level, the issue of distributing the parameters across the blocks is solved using a hybrid fuzzy-genetic algorithms approach. Finally, multiobjective optimization using genetic algorithms is employed in the circuit-level design. The proposed methods were tested under specific conditions and have proved to be robust and trustworthy.
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Acknowledgments
This paper was supported by the project “Improvement of the doctoral studies quality in engineering science for development of the knowledge based society-QDOC” contract no. POSDRU/107/1.5/S/78534, project co-funded by the European Social Fund through the Sectorial Operational Program Human Resources 2007–2013.
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Ivanciu, LN., Oltean, G. (2015). Design of Telecommunication Receivers Using Computational Intelligence Techniques. In: Fakhfakh, M., Tlelo-Cuautle, E., Siarry, P. (eds) Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design. Springer, Cham. https://doi.org/10.1007/978-3-319-19872-9_15
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DOI: https://doi.org/10.1007/978-3-319-19872-9_15
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