Now showing items 1-12 of 12

    • Baseline regularized sparse spatial filters 

      Onaran, İbrahim; Ince, N.F.; Cetin, A. Enis (IEEE, 2013)
      The common spatial pattern (CSP) method has large number of applications in brain machine interfaces (BMI) to extract features from the multichannel neural activity through a set of linear spatial projections. These spatial ...
    • Classification of agricultural kernels using impact acoustic signal processing 

      Onaran, İbrahim (Bilkent University, 2006)
      The quality is the main factor that directly affects the price for many agricultural produces. The quality depends on different properties of the produce. Most important property is associated with health of consumers. ...
    • Detection of empty hazelnuts from fully developed nuts by impact acoustics 

      Onaran, İbrahim; Dülek, Berkan; Pearson, T. C.; Yardımcı, Y.; Çetin, A. Enis (IEEE, 2005)
      Shell-kernel weight ratio is the main determinate of quality and price of hazelnuts. Empty hazelnuts and nuts containing undeveloped kernels may also contain mycotoxin producing molds, which can cause cancer. A prototype ...
    • Extraction of sparse spatial filters using Oscillating Search 

      Onaran, İbrahim; İnce, N. Fırat; Abosch, A.; Çetin, A. Enis (IEEE, 2012)
      Common Spatial Pattern algorithm (CSP) is widely used in Brain Machine Interface (BMI) technology to extract features from dense electrode recordings by using their weighted linear combination. However, the CSP algorithm, ...
    • Falling person detection using multi-sensor signal processing 

      Töreyin, Behçet Uğur; Soyer, Emin Birey; Onaran, İbrahim; Çetin, A. Enis (IEEE, 2007)
      Falls are one of the most important problems for frail and elderly people living independently. Early detection of falls is vital to provide a safe and active lifestyle for elderly. In this paper, signals produced by sound ...
    • Human face detection in video using edge projections 

      Türkan, Mehmet; Dülek, Berkan; Onaran, İbrahim; Çetin, A. Enis (SPIE, 2006)
      In this paper, a human face detection method in images and video is presented. After determining possible face candidate regions using color information, each region is filtered by a high-pass filter of a wavelet transform. ...
    • A hybrid SVM/HMM based system for the state detection of individual finger movements from multichannel ECoG signals 

      Onaran, İbrahim; Ince, N.F.; Çetin, A. Enis; Abosch, A. (IEEE, 2011)
      A hybrid state detection algorithm is presented for the estimation of baseline and movement states which can be used to trigger a free paced neuroprostethic. The hybrid model was constructed by fusing a multiclass Support ...
    • Projections onto convex sets (POCS) based optimization by lifting 

      Çetin, A. Enis; Bozkurt, Alican; Günay, Osman; Habiboglu, Yusuf Hakan; Köse, K.; Onaran, İbrahim; Tofighi, Mohammad; Sevimli, Rasim Akın (IEEE, 2013)
      A new optimization technique based on the projections onto convex space (POCS) framework for solving convex and some non-convex optimization problems are presented. The dimension of the minimization problem is lifted by ...
    • A signal representation approach for discrimination between full and empty hazelnuts 

      Onaran, İbrahim; İnce, N. F.; Tevfik, A. H.; Çetin, A. Enis (IEEE, 2007)
      We apply a sparse signal representation approach to impact acoustic signals to discriminate between empty and full hazelnuts. The impact acoustic signals are recorded by dropping the hazelnut shells on a metal plate. The ...
    • Spatial decoding of oscillatory neural activity for brain computer interfacing 

      Onaran, İbrahim (Bilkent University, 2013)
      Neuroprosthetics (NP) aim to restore communication between people with debilitating motor impairments and their environments. To provide such a communication channel, signal processing techniques converting neurophysio ...
    • Subset selection with structured dictionaries in classification 

      İnce, N. F.; Göksu, F.; Tewfik, A. H.; Onaran, İbrahim; Çetin, A. Enis (EURASIP, 2007)
      This paper describes a new approach for the selection of discriminant time-frequency features for classification. Unlike previous approaches that use the individual discrimination power of expansion coefficients, the ...
    • Wheat and hazelnut inspection with impact acoustics time-frequency patterns 

      İnce, N. F.; Onaran, İbrahim; Tewfik, A. H.; Kalkan, H.; Pearson, T.; Çetin, A. Enis; Yardimci, Y. (ASABE, 2007-06)
      Kernel damage caused by insects and fungi is one of the most common reason for poor flour quality. Cracked hazelnut shells are prone to infection by cancer producing mold. We propose a new adaptive time-frequency classification ...