Recent Submissions

  • Signal Acquisition Preprocessing and Feature Extraction Techniques for Biomedical Signals

    Subasi, Abdulhamit; Mian Qaisar, Saeed; College collaboration; Electrical and Computer Engineering (Springer, 2023-02)
    The primary purposes of the biomedical signals are the detection or diagnosis of disease or physiological states. These signals are also employed in biomedical research to model and study biological systems. The objective of the signal acquisition, pre-conditioning and feature extraction is to attain a precise realization of model or recognition of decisive elements or malfunctioning of human corporal systems using machine or deep learning. Furthermore, it allows future clinical or physiological events to be predicted using machine and deep learning. The obtained biological signal is frequently a complex combination of noise, artifacts, and signal. Instrumentation using sensors, amplifiers, filters, and analog-to-digital converters can produce artifacts. The muscular activities can introduce interference and the powerline and electromagnetic emissions are considered as the primary sources of noise. A good choice of signal collection and processing techniques may be made as a consequence of intended design specifications. This chapter aims to familiarize scientists and biomedical engineers with potential feature extraction methods and in comprehending the fundamentals of the signal acquisition and processing chain.
  • The Subtitling Triangle: Subtitling for Television, Practice and Technique

    Khuddro, Ahmad; Department Collaboration; English & Translation; Khuddro, Ahmad (Aracne. editrice S.r.l., Rome - Italy, 2009-09)
    It aims at discussing the subtitling triangle which includes the audience, the author, the audiovisual material, and the text. Subtitlers need to be aware of the elements that affect the subtitling process, not only the technical restraints (time and space on screen) but also matters related to the image, sound and text - all these three are to be considered too.