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A comprehensive approach for high intensity blood flow signal classification using multi-scale spectrogram fusion and tunable Q-factor wavelet analysis

Biomedical Signal Processing and Control, Vol. 109, Kasım 2025, s. 107991, ISSN: 1746-8094

CANSIZ BERKE,KARADELİ M. İKBAL,AYDIN NİZAMETTİN,SERBES GÖRKEM

Nizamettin Aydın Özgün Makale

Resonance Based Pre-processing Method for Eliminating Artifacts in Doppler Ultrasound Signals

2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 15 Mayıs 2017

SERBES GÖRKEM,AYDIN NİZAMETTİN

Nizamettin Aydın Tam metin bildiri Transcranial Doppler ultrasoundembolic signalsartifactsresonancewavelet transformQ-factorEMBOLI DETECTION SYSTEMTRANSCRANIAL DOPPLER

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