In this paper, a beamforming based enhanced method for noise/echo cancellation in audio devices such as hearing aids is presented. A modified two-element beamformer scheme is proposed as a possible solution for better...
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A complementary metal-oxide semiconductor (CMOS)-based digital x-ray imaging system for small animal studies was developed. The core of this system is a unique detector module consisting of eight joint CMOS chips, eac...
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Functional optical coherence tomography (fOCT) is used to record optical changes that correspond to spontaneous and stimulated electrical activity in neural tissue. FOCT provides a high-resolution, real-time, non-inva...
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We estimate a source current dipole at a known location in the presence of low-rank interference using magnetoencephalography (MEG). We present a space-time processor for MEG data based on the generalized sidelobe can...
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We estimate a source current dipole at a known location in the presence of low-rank interference using magnetoencephalography (MEG). We present a space-time processor for MEG data based on the generalized sidelobe canceler (GSC). We extend the classical vector beamformer to a matrix structure without making any assumptions on the rank of the covariance matrix of noise and interference, or constraint matrices. Furthermore, we define the cross-spectral metrics (CSM) in their most general form. The CSM method is known to approximate the performance of the matched filter for the case of unknown covariance matrix. In our case, the CSM also allows to reduce the complexity of the filtering problem without significant loss of performance in the signal-to-interference-plus-noise ratio (SINR). Our results show that good estimates of the dipole sources can be achieved by only using a few eigenvalues, namely, those corresponding to the largest CSM.
Elastic continuum model is used to model acoustic phonons in single wall nanotubes (SWNTs). Based on elastic continuum theory, acoustic vibrational modes are modeled for both zigzag and armchair nanotubes of finite le...
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Optical coherence tomography (OCT) images of biological tissues often have low contrast. Spectroscopic OCT (SOCT) methods have been developed to enhance contrast. Due to the time-frequency "uncertainty principle&...
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Optical coherence tomography (OCT) images of biological tissues often have low contrast. Spectroscopic OCT (SOCT) methods have been developed to enhance contrast. Due to the time-frequency "uncertainty principle" in SOCT signal analysis, minute spectral changes can not be detected for high spatial resolution applications. In order to enhance SOCT contrast in tissues with low inherent spectral absorption, we developed a contrast enhancing technique using near-infrared (NIR) dyes. We developed an optimized algorithm for SOCT and an optimum dye concentration for imaging. The effect of contrast enhancement was studied both in tissue phantoms and in situ experiments. Contrast-enhanced images are compared with fluorescence microscopy, demonstrating a link between SOCT and fluorescence imaging.
We describe a novel approach to obtain a good estimate of the complete 3D representation of a tooth given only the crown. The technique is based on the use of a statistical model derived from 3D images of teeth constr...
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Expressions for the electromagnetic power extinguished by a scatterer in a half-space are derived via the generalized optical theorem. The power is seen to be related to the structure of the scattering object. Applica...
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Neurophysiological intraoperative monitoring (IOM) is an important tool aimed at reducing iatrogenic injury to the central nervous system during complex surgical procedures. We utilize multimedia techniques involving ...
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Neurophysiological intraoperative monitoring (IOM) is an important tool aimed at reducing iatrogenic injury to the central nervous system during complex surgical procedures. We utilize multimedia techniques involving digital video to perform remote IOM. A video camera mounted on a microscope records the same surgical scene as the one observed by the neurosurgeon. The recorded video along with a variety of physiological data are processed, compressed, and transmitted through networks to be monitored by neurophysiologists at remote sites. In order to reduce bandwidth without degenerating video quality in critical areas of the surgical field, we utilized a novel method based on the wavelet transform to decompose each video frame into subframes and encode them in different resolutions. Our experimental results have demonstrated the effectiveness of this method.
A programmable arbitrary waveform generator for creation of experimental defibrillation shocks is described. The system is capable of delivering shocks for internal defibrillation via 10 channels at 1000 Volts and 30 ...
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A programmable arbitrary waveform generator for creation of experimental defibrillation shocks is described. The system is capable of delivering shocks for internal defibrillation via 10 channels at 1000 Volts and 30 Amps. A microcontroller driven system that can receive waveform commands from a laptop was designed to be able to deliver shocks to any combination of electrodes. Waveforms are controllable down to 100 microsecond intervals and each channel is capable of serving as anode or cathode. This system can be used to verify predictions for defibrillation waveform efficacy as predicted by modeling efforts or to test new experimental waveforms tuned to parameters from an individual subject.
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