This paper addresses the implementation aspects of highly modular two-dimensional (2-D) digital filters. The idea of matrix decomposition 111 is used to provide increased parallelism and regularity. Four different structures namely the transversal, the distributed arithmetic, the stored product and the systolic array, are considered. For comparison purposes, the direct implementation is include...

The theory of statistical signal processing Þnds a wide variety of applications in the Þelds of data communications, such as in channel estimation, equalization and symbol detection, and sensor array processing, as in beamforming, and radar systems. Indeed, a large number of these applications can be interpreted in terms of a parametric estimation problem, typically approached by a linear Þlter...

Many integrated circuit systems, particularly in the multimedia and telecom domains , are inherently data dominant. For this class of systems, a large part of the power consumption is due to the data storage and data transfer. Moreover, the area cost is often largely dominated by memory. Hence, the optimization of the memory architecture is crucial in the design methodology for this type of app...

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...

In the past several years, there have been exciting breakthroughs in the study of high-dimensional sparse signals. A sparse signal is a signal that can be represented as a linear combination of relatively few base elements in a basis or an overcomplete dictionary. Much of the excitement centers around the discovery that under surprisingly broad conditions, a sufficiently sparse linear represent...

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...

Artificial neural network (ANN) has application in communication engineering in diverse areas such as channel equalization, channel modeling, error control code because of its capability of nonlinear processing, adaptability, and parallel processing. On the other hand, wavelet transform (WT) with both the time and the frequency resolution provides the exact representation of signal in both doma...