A novel singular spectrum analysis-based multi-objective approach for optimal FIR filter design using artificial bee colony algorithm

Effective filter design plays an important role in signal processing applications. Multiple parameters must be considered to control the over-frequency response of the designed filter. In this study, a novel multi-objective approach is proposed for windowing finite impulse response (FIR) filter desi...

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Veröffentlicht in:	Neural computing & applications 2020-09, Vol.32 (17), p.13323-13341
1. Verfasser:	Latifoğlu, Fatma
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Attenuation Bandwidths Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Control stability Data Mining and Knowledge Discovery Design Electroencephalography Filter design (mathematics) FIR filters Frequency response Frequency stability Image Processing and Computer Vision Linear phase Low pass filters Multiple objective analysis Original Article Parameters Probability and Statistics in Computer Science Search algorithms Signal processing Spectrum analysis Swarm intelligence Window functions
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