Unlike other biometrics such as fingerprints and face, the distinct aspect of iris comes from
randomly distributed features. This leads to its high reliability for personal identification, and …

GPUs have become popular recently to accelerate general-purpose data-parallel
applications. However, most existing work has focused on GPU-friendly applications with …

This study presents a novel method for detection of the onset time of muscle activity using
surface electromyogram (EMG) signals. The method takes advantage of the nonlinear …

The randomness of iris pattern makes it one of the most reliable biometric traits. On the other
hand, the complex iris image structure and the various sources of intra-class variations result …

Morphodynamic processes in coastal areas are affected by tidal currents and sea state. The
continuous observation of near coastal areas is important in order to monitor dangerous …

While a number of nonmetric sex-related traits have been proposed, the accurate
assignment of sex to subadult skeletal materials is generally considered problematic. Eight …

Medical image analysis methods require the use of effective representations for
differentiating between lesions, diseased regions, and normal structure. Amplitude …

We develop new multiscale amplitude-modulation frequency-modulation (AM-FM)
demodulation methods for image processing. The approach is based on three basic ideas:(i) …

A novel boundary processing technique is proposed for bidimensional empirical mode
decomposition (BEMD). BEMD is a new form of multiscale decomposition and has superior …

We develop multicomponent AM-FM models for multidimensional signals. The analysis is
cast in a general n-dimensional framework where the component modulating functions are …