objective: it has been recognized that sleep has an important effect on emotion processing. the aim ‎of this study was to investigate the effect of previous night sleep duration on autonomic ‎responses to musical stimuli in different emotional contexts.‎ method: a frequency based measure of gsr, pr and ecg signals were examined in 35 healthy ‎students in three groups of oversleeping, lack of sl...

Title of Dissertation: ULTRA-FAST OPTICAL SIGNAL PROCESSING FOR DIGITAL COMMUNICATIONS USING ALL-OPTICAL NONLINEAR INTERACTIONS IN SEMICONDUCTOR OPTICAL WAVEGUIDES Ehab S. Awad, Doctor of Philosophy, 2003 Dissertation directed by: Professor Julius Goldhar Department of Electrical and Computer Engineering In optical communications, clock recovery, optical time demultiplexing, and 3R regeneration...

Extended depth of field (EDF) microscopy, achieved through computational optics, allows for real-time 3D imaging of live cell dynamics. EDF is achieved through a combination of point spread function engineering and digital image processing. A linear Wiener filter has been conventionally used to deconvolve the image, but it suffers from high frequency noise amplification and processing artifacts...

Nonlinear signal processing is necessary in many emerging applications where form factor and power are at a premium. In order to make such complex computation feasible under these constraints, it is necessary to implement the signal processors as analog circuits. Since analog circuit design is largely based on a linear systems perspective, new tools are being introduced to circuit designers tha...

Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper, we will present a hardwareaccelerated image processing and classification system which is implemented on one field-programmable gate array (FPGA). Nonlinear discrete c...

| This paper studies a family of switchedcurrent and current-mode building blocks for nonlinear sampled-data signal processing and proposes several new switched-current nonlinear circuits which can be designed using the building block approach. The proposed circuits present merits of simple circuit conguration, low voltage and low cost. The development of these circuits has not only expanded th...

In this paper a review of architectures suitable for nonlinear real-time audio signal processing is presented. The computational and structural complexity of neural networks (NNs) represent in fact, the main drawbacks that can hinder many practical NNs multimedia applications. In particular e,cient neural architectures and their learning algorithm for real-time on-line audio processing are disc...

Integrate-and-fire (I&F) neuronal networks are ubiquitous in diverse image processing applications, including image segmentation and visual perception. While conventional I&F network image processing requires the number of nodes composing the network to be equal to the number of image pixels driving the network, we determine whether I&F dynamics can accurately transmit image information when th...

The novel approach was developed for multilevel signal detection in channels with impulsive nonGaussian noise. This approach consists of using morphological nonlinear image filtration principles for two dimensional signals. It is a new method of signal demodulation, using three dimensional image processing algorithms. Successful results of this morphologic detector encourage more investigation ...