Spread signal processing

Signal Processing Techniques for Non-Stationary Chaotic Spread Waveforms

When communicating with chaos, the greatest challenge over the past 30 years has been achieving a robust form of signal synchronization that can survive the dynamics of a practical communications channel [1,2,3]. The ideal chaotic signal characteristic in AWGN channels for satisfying security, channel capacity [4] and anti-jam performance [5] requirements is that of a bandlimited white Gaussian...

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 ...

Time-Varying Autoregressive Model Based Signal Processing with Applications to Interference Rejection in Spread Spectrum Communications