The novel optimization technique for the design of application specific integrated circuits of multi-dimensional problems, called multi-dimensional interleaving consists of an expansion and compression of the iteration space. It guarantees that all functional elements of a circuitry can be executed simultaneously, and no additional memory queues proportional to the problem size are required. Su...

Dust storms are of interest to study since they are correlated to an increase in mortality rates due to respiratory illness especially in the south-western U.S. With the aim of providing better tools to the understanding of dust storms, we present models for detection of dust storms from MODIS Terra Level 1B radiances, which can be applied in near real time with 1km resolution, in contrast to t...

The record of human brain neural activities, namely electroencephalogram (EEG), is generally known as a non-stationary and nonlinear signal. In many applications, it is useful to divide the EEGs into segments within which the signals can be considered stationary. Combination of empirical mode decomposition (EMD) and Hilbert transform, called Hilbert-Huang transform (HHT), is a new and powerful ...

The main purpose of this paper is to develop the method of characteristic functions for calculating the detection characteristics in the case of the object surrounded by rough surfaces. This method is to be implemented in synthetic aperture radar (SAR) systems using optimal resolution algorithms. By applying the specified technique, the expressions have been obtained for the false alarm and cor...

We study the invertibility of M -variate polynomial (respectively : Laurent polynomial) matrices of size N by P . Such matrices represent multidimensional systems in various settings including filter banks, multipleinput multiple-output systems, and multirate systems. Given an N × P polynomial matrix H(z) of degree at most k, we want to find a P × N polynomial (resp. : Laurent polynomial) left ...

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...

this paper addresses the signal processing principles in passive bistatic radar (pbr) systems. in this case, the detection problem in the presence of system noise, clutter/multipath, direct signal and interfering target signals is investigated. to this light, two types of detectors are studied. in the first one, which is based on intuitive sense, we examine two detectors. in the second type det...