Recently, several new beamformers have been introduced for reconstruction and localization of neural sources from EEG and MEG. Although studies have compared the accuracy of beamformers for localization of strong sources in the brain, a comparison of new and conventional beamformers for time-course reconstruction of a desired source has not been previously undertaken. In this study, 8 beamforme...

This thesis addresses the problems of signal processing for image communication and restoration. Significant attention is devoted to developing novel stochastic models for images, investigating the information theoretic performance bounds for them, and designing efficient learning and inference methods for the proposed models. Unlike the commonly accepted approach in which the design of communi...

Doppler radar can detect an object movement from a change of ratio reflection. In many cases, a radar with a single receiver could receive multiple reflections as a single mixed signal because of a variety of moving objects. Therefore, the source separation techniques are required to detect each object. In this paper, we extract the features from a mixed radar signal composed of two different p...

INTRODUCTION: Most of the previous functional studies focus on the magnitude change of the MR signal. However, as well as the magnitude change, the phase change of the BOLD fMRI signal [1-3] and the frequency shift of the functional MR signal [4] have also been detected in human. Since no fMRI signal phase change should be detected if the fMRI signal is only consisted of extravascular signal an...

Locating an unknown-position source using received signal strength (RSS) measurements in an accurate and low-complexity manner is addressed in this paper. Given that the source transmit power is unknown, we employ the differential RSS information to devise two computationally attractive localization methods based on the weighted least squares (WLS) approach. The main ingredients in the first al...

Impedance cardiography continues to be investigated for various applications. Instruments for its use are available commercially. Almost all of the recent presentations and articles along with commercial advertisements have assumed that aortic volume pulsation is the source of the signal. A review of the literature will reveal that there is no clear evidence for this assumption. Starting with t...

Source separation consists of recovering a set of independent signals when only mixtures with unknown coefficients are observed. This paper introduces a class of adaptive algorithms for source separation that implements an adaptive version of equivariant estimation and is henceforth called equivariant adaptive separation via independence (EASI). The EASI algorithms are based on the idea of seri...

A Monte Carlo modeling technique was used to simulate ultrasound-modulated optical tomography in inhomogeneous scattering media. The contributions from two different modulation mechanisms were included in the simulation. Results indicate that ultrasound-modulated optical signals are much more sensitive to small embedded objects than unmodulated intensity signals. The differences between embedde...

The performance benefits of using source-gated transistors (SGTs) in analog large-area electronic circuits are examined practically and via numerical simulations. In current mirror circuits made using thin-film technology, significant advantages are observed for SGT implementations. A comparison of current mirrors implemented with standard field effect transistors (FETs) and SGTs shows that the...

We propose an effective feature extraction technique for obtaining essential time-frequency information from the linear prediction (LP) residual signal, which are closely related to the glottal vibration of individual speaker. With pitch synchronous analysis, wavelet transform is applied to every two pitch cycles of the LP residual signal to generate a new feature vector, called Wavelet Based F...