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- W2893188435 abstract "The aim of this contribution is to spread knowledge on multi-objective optimization of filters in signals. With the help of Pareto analysis, the filters are measured. The focus is on intelligent meta-heuristic approach applied on filters. Filters are functional blocks to suppress spurious signals by exploiting the fact that the frequency content of these signals is separated from the frequency contents of wanted signals in a distortion less transmission. Naturally, this leads to a discussion of an idealized framework for filtering, which in turn provides the basis for the design of practical filters. Multi-objective optimization of signals helps in channelizing the requirement of the user, specifically in the design of military ad hoc network. It helps in deployment of nodes with heterogenous link and adaption to changing environment. MATLAB is used for the verification of results." @default.
- W2893188435 created "2018-10-05" @default.
- W2893188435 creator A5067667495 @default.
- W2893188435 date "2018-09-29" @default.
- W2893188435 modified "2023-10-17" @default.
- W2893188435 title "Multi-objective Optimization of Signal Filtering Using Pareto Analysis" @default.
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- W2893188435 doi "https://doi.org/10.1007/978-981-13-1165-9_68" @default.
- W2893188435 hasPublicationYear "2018" @default.
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