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EEG signal compression based on classified signature and envelope vector sets

Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (IEEE Computer Society, 2007)

In this paper, a novel method to compress ElectroEncephaloGram (EEG) Signal is proposed. The proposed method is based on the generation Classified Signature and Envelope Vector Sets (CSEVS) by using an effective k-means ...

Transformer-less ladder network design with non-minimum impedance functions

Yıldız, Serkan; Aksen, Ahmet; Yarman, Bekir Sıddık Binboğa (Institute of Electrical and Electronics Engineers Inc., 2019-11)

In this study, a new method of design for transformer-less ladders is introduced. It has been shown that, given a non minimum impedance function which includes finite transmission zeros (FTZs) can be synthesized without ...