Signal Processing

P81: Detection of Epileptic Seizures Using EEG Signal Processing

Epilepsy is the most common brain diseases that cause many problems in the daily life of the patient. In most attempts to automatic detection, the attack used an EEG. In this paper, The complete data set consists of five sets recorded from normal and epileptic patients. Each set containing 100 single-channel EEG segments. Here we used first and last sets (A and E). Set A consisted of segments r...

on Applied Signal Processing Multimedia Signal Processing

This is a special issue published in volume 2003 of " EURASIP Journal on Applied Signal Processing. " All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Recent years have seen the emergence of a variety of new multimedia (text...

Signal Processing Aspects of Signal

Acoustic signal extraction and identiication in the underwater environment is best achieved by adaptive methods as the signals encountered are generally non-stationary and corrupted by unpredictable noise sources, such as man-made noise, biological and seismic noises. While classical methods often fail in such an environment, the recent use of mul-tiresolution methods like the adaptive wavelet ...

Signal Processing

[1] Michael Clausen, Beiträge zum Entwurf schneller Spektraltransformationen, Habilitationsschrift, Universität Karlsruhe, 1998. [2] Torsten Minkwitz, Algorithmensynthese für lineare Systeme mit Symmetrie, Dissertation, Technische Hochschule, Universität Karlsruhe, 1993. [3] Luciano Sbaiz, Patrick Vandewalle, and Martin Vetterli, Groebner basis methods for multichannel sampling with unknown off...

Signal Processing