Browsing by Subject "Signal processing"

Now showing items 41-45 of 45

    • Stochastic event-triggered particle filtering for state estimation 

      Sadeghzadeh-Nokhodberiz, Nargess; Davoodi, Mohammadreza; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      In this paper, the problem of event-triggered (ET) state estimation is studied for nonlinear non-Gaussian systems. Particle filtering (PF) state estimation approach is developed for systems with stochastic ET measurements ...

    • Time frequency and array processing of non-stationary signals 

      Belouchrani A.; Abed-Meraim K.; Boashash B. (2012 , Article)
      The special issue of EURASIP Journal on Advances in Signal Processing 2012 focuses on the synergistic relationship between time-frequency methods and array signal processing methods and addresses recent developments. In ...

    • Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review 

      Boashash B.; Khan N.A.; Ben-Jabeur T. ( Elsevier Inc. , 2015 , Article)
      This paper presents a tutorial review of recent advances in the field of time-frequency (t, f) signal processing with focus on exploiting (t, f) image feature information using pattern recognition techniques for detection ...

    • Towards enhanced control of upper prosthetic limbs: A force-myographic approach 

      Rasouli, Mahdi; Chellamuthu, Karthik; Cabibihan, John-John; Kukreja, Sunil L. ( IEEE Computer Society , 2016 , Conference Paper)
      Reliable decoding of a user's intention is a key step to control prosthetic devices. Force myography (FMG) is often used to assess topographic force patterns resulting from volumetric changes of activated muscles. However, ...

    • Unsupervised feature selection method for improved human gait recognition 

      Rida I.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      Gait recognition is an emerging biometric technology which aims to identify people purely through the analysis of the way they walk. The technology has attracted interest as a method of identification because it is ...