This article introduces the genetic algorithm (GA) as an emerging optimization algorithm for
signal processing. After a discussion of traditional optimization techniques, it reviews the …

In this paper we overview emotional speech recognition having in mind three goals. The first
goal is to provide an up-to-date record of the available emotional speech data collections …

In this paper, the authors describe a QRS complex detector based on the dyadic wavelet
transform (D/sub y/WT) which is robust to time-varying QRS complex morphology and to …

Wavelets analysis methods have been widely used in the signal processing of biomedical
signals. These methods represent the temporal characteristics of a signal by its spectral …

The expression and experience of human behavior are complex and multimodal and
characterized by individual and contextual heterogeneity and variability. Speech and …

Since the study of wavelets is a relatively new area, much of the research coming from
mathematicians, most of the literature uses terminology, concepts and proofs that may, at …

Among the many clinical decisions that psychiatrists must make, assessment of a patient's
risk of committing suicide is definitely among the most important, complex, and demanding …

A" brain defibrillator" may be closer than we think. An epileptic seizure involves a
paroxysmal change in the activity of millions of neurons. Feedback control of seizures would …

Electroencephalogram (EEG) is a technique for recording the asynchronous activation of
neuronal firing inside the brain with non-invasive scalp electrodes. Artifacts, such as eye …

Exploiting the impulse-like nature of excitation in the sequence of glottal cycles, a method is
proposed to derive the instantaneous fundamental frequency from speech signals. The …