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Modeling the impact of run-time uncertainty on optimal computation scheduling using feedback

Modeling the impact of run-time uncertainty on optimal compu...

引用

International Conference on Parallel processing (ICPP)

作者： R.D. Dietz T.L. Casavant T.E. Scheetz T.A. Braun M.S. Andersland Parallel Processing Laboratory Electrical and Computer Engineering Department University of Iowa IA USA

Increasingly, feedback of measured run-time information is being used in the optimization of computation execution. This paper introduces a model relating the static view of a computation to its run-time variance that is useful in this context. A notion of uncertainty is then used to provide bounds on key scheduling parameters of the run-time computation. To illustrate the relationship between fidelity in measured information and minimum schedulable, grain size, we apply the bounds to three existing parallel architectures for the case of run-time variance caused by monitoring intrusion. We also outline a hybrid static-dynamic scheduling paradigm-SEDIA-that uses the model of uncertainty to optimize computation for execution in the presence of run-time variance from sources other than monitoring intrusion.

关键词： Runtime Uncertainty Processor scheduling Feedback Context modeling Optimal scheduling Dynamic scheduling Concurrent computing Monitoring Delay

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A least-squares-based 2-D filtering for disparity estimation

A least-squares-based 2-D filtering for disparity estimation

引用

IEEE International Conference on Image processing

作者： Sang-Woon Seo M.R. Azimi-Sadjadi Bin Tian Signal/Image Processing Laboratory Department of Electrical Engineering Colorado State University Fort Collins CO USA

A block-matching method is generally used for the disparity estimation as well as motion estimation applications. However, this method suffers from limitations such as blocking artifacts on the reconstructed images and a lack of compensation ability for the mismatching areas. A new disparity estimation scheme using 2-D filtering is proposed to provide more accurate estimates of the disparity vector and better compensation ability. This is accomplished by applying the left image to the reference input of the filter while using the right image as the desired output. The goal is to provide the best matching for the right image using the filter output instead of the left image directly as used in the block-matching method. A reduced order filtering scheme is also introduced to minimize the number of filter coefficients for the reconstruction. The reconstructed images generated based upon the estimated disparity vectors and some principal filter coefficients exhibited excellent quality.

关键词： Filtering Motion estimation Image coding Image sequences Image reconstruction Matched filters Videoconference Stereo image processing Image resolution signal processing

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Applications of space-time adaptive processing in wireless communications

Applications of space-time adaptive processing in wireless c...

引用

MILCOM, Military Communications Conference

作者： P.M. Haimovich A. Shah Center for Communications and Signal Processing Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

This paper studies the application of space-time adaptive processing (STAP) to increase the performance of wireless communications. STAP applied to CDMA systems is an efficient means to increase the capacity by providing diversity paths to combat multipath and by suppressing interference through spatial-temporal filtering. STAP may also be used to harden commercial systems for military applications by rejecting narrowband interferences in overlay situations. The main advantage of interference suppression in the spatial domain is its robustness with respect to the interference bandwidth. The performance of several STAP architectures is reviewed. The performance of wireless systems with array processing or STAP is degraded by errors in the estimation of the covariance matrix due to finite sample effects. Full and reduced-rank methods are analyzed with respect to their robustness to finite sample effects.

关键词： Interference suppression Robustness Wireless communication Multiaccess communication Filtering Narrowband Bandwidth Array signal processing Degradation Estimation error

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EM-ANN modelling and optimal chamfering of 90/spl deg/ CPW bends with air-bridges

EM-ANN modelling and optimal chamfering of 90/spl deg/ CPW b...

引用

Microwave, MTT-S International Symposium

作者： P.M. Watson K.C. Gupta Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology University of Colorado Boulder Boulder USA Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology University of Colorado Boulder USA

Electromagnetically-trained artificial neural network (EM-ANN) models for coplanar waveguide (CPW) 90/spl deg/ bends with air-bridges are presented. The optimal chamfer is determined for a conventional CPW bend where both the slot and strip are chamfered. Also, a novel compensated CPW bend is introduced where only the strip is chamfered. Optimum value of this chamfer is found to be the maximum chamfer allowed by air-bridge placement. This novel compensated CPW bend is shown to reduce the return loss from that in the conventional optimally chamfered CPW bend by 3 to 7 dB.

关键词： Coplanar waveguides Artificial neural networks Optical waveguides Electromagnetic waveguides Bridge circuits Electromagnetic modeling Strips MMICs Scattering parameters Insertion loss

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Improved digital elevation models via multi-baseline interferometric SAR

Improved digital elevation models via multi-baseline interfe...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： J. Homer I.D. Longstaff Zhishu She Department of Electrical and Computer Engineering Cooperative Research Centre for Sensor Signal Information Processing University of Queensland Brisbane QLD Australia Department of Electrical and Electronic Engineering Cooperative Research Centre for Sensor Signal Information Processing University of Adelaide Adelaide SA Australia

This paper presents an extension to interferometric SAR (InSAR), known as multi-baseline InSAR. The technique is based on the use of N>2 SAR imaging flight paths to synthesise an aperture in the normal-to-slant-range (nsr) direction. This leads to the generation of digital elevation models with improved ground-range resolution and elevation accuracy as well as the ability to resolve scatterers in the nsr direction.

关键词： Digital elevation models Synthetic aperture radar interferometry Gratings Interpolation Indexing Deconvolution Image generation Least squares approximation Read only memory Image resolution

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Multiuser detection for integrated multi-rate CDMA

Multiuser detection for integrated multi-rate CDMA

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International Conference on Information, Communications and signal processing

作者： H. Ge Center of Communications & Signal Processing Resecuch Department of Electrical & Computer Engineering New Jersey Institute of Technology Newark NJ USA

We extend the LMMSE multiuser detector to multi-rate CDMA systems, where different users have different quality-of-service (QoS) requirements. The proposed LMMSE detectors can work on dual-rate mode according to different computational constraints. Only the signature of the desired user is needed in using the proposed multi-rate LMMSE detectors. The proposed detectors have better detection performance and less computational requirement than the dual-rate decorrelating detectors. computer simulations verified analytical results and conjecture.

关键词： Multiuser detection Multiaccess communication Detectors Decorrelation Multiple access interference Intserv networks Bit error rate signal processing Quality of service Interference constraints

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Usage of smart antenna for cancelling neighboring base-station interferences in wireless CDMA communications

Usage of smart antenna for cancelling neighboring base-stati...

引用

Asilomar Conference on signals, Systems & computers

作者： Weichen Ye Y. Bar-Ness A.M. Haimovich Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

The capacity of wireless CDMA systems in the forward link is limited by both intra-cell and inter-cell cochannel interferences. In particular, when the mobile is close to a cell boundary, the desired signal from home base station (BS) is disturbed by relatively strong interference from neighboring BSs. In this paper, a receiver architecture is suggested at the mobile to utilize a small two-antenna array for interference cancellation. Such a canceller works well only when the channel vector of desired signal is known. We use the identifying spreading codes (as in IS-95 for example) to provide an adaptive channel vector estimate, and control the beam steering weight, hence improving the system capacity.

关键词： Interference cancellation Multiaccess communication Antenna arrays Mobile communication Wireless communication Beam steering Bandwidth Fading Mobile antennas Spread spectrum communication

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A self-correcting loop for joint estimation-calibration in adaptive radar

A self-correcting loop for joint estimation-calibration in a...

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IEEE National Conference on Radar

作者： W. Ye Y. Bar-Ness A.M. Haimovich Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

It is well known that pointing and random angle errors degrade the performance of adaptive radar quickly. A joint adaptive estimation-calibration (JEC) algorithm is proposed to provide on-line look direction corrections and array calibration. The new algorithm is presented in the context of a generalized sidelobe canceler (GSC). The proposed algorithm uses the array output to generate a control signal for steering vector corrections, which in turn yield higher signal-to-noise and interference ratio (SNIR) at the array output. A Doppler technique is used to provide cleaner reference of target signal, which results in better correction of the steering vector. A simple case is investigated to explain how the scheme works and a steady state condition analysis is provided. For an 8-element antenna array, the new algorithm is demonstrated by simulations, which show that the output SNIR is improved by the correction of pointing and random angle errors.

关键词： Jamming signal processing algorithms Interference Spread spectrum radar Narrowband Radar signal processing Degradation Antenna arrays Phased arrays signal to noise ratio

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Model-based detection and correction of corrupted wavelet coefficients

Model-based detection and correction of corrupted wavelet co...

引用

IEEE International Conference on Image processing

作者： N. Strobel S.K. Mitra B.S. Manjunath Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara USA University of California Santa Barbara Santa Barbara CA US

Image decomposition based on the discrete wavelet transform (DWT) has been proposed for efficient storage and progressive transmission of images for visual browsing in digital image libraries. Although the compression aspects of the DWT have been carefully researched, reconstruction errors due to corrupted wavelet coefficients have received less attention. In this paper we consider the problem of bit errors affecting uniformly quantized wavelet coefficients. The proposed method, which is based on a local image model, simultaneously detects and masks corrupted wavelet coefficients.

关键词： Wavelet coefficients Image coding Image reconstruction Discrete wavelet transforms Filters Decoding Error correction Image edge detection signal processing Image processing

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Image compression through fractal surface interpolation and wavelet compression

Image compression through fractal surface interpolation and ...

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Communications, Power and Computing Conference: WESCANEX

作者： R. Dansereau W. Kinsner Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada

The paper presents a perceptual image representation technique based on fractal surface interpolation (FSI), This technique is motivated from the observation that images taken from the real world contain many textures that are self similar, or fractal, in nature. The fractal surface interpolation representation is then compressed using a zero tree wavelet compression subsystem with lossless entropy encoding. The fractal surface interpolation technique described relies on the extraction and reconstruction of self affine fractal surfaces with measured Hurst exponents H*. This gives statistically self similar fractal surfaces used to represent textures in a real world image. Fractional Brownian motion (fBm) through a modified midpoint displacement (MPD) algorithm provides the basis for generating these self affine fractal surfaces between interpolation points.

关键词： Image coding Fractals Surface waves Interpolation Surface reconstruction Surface texture Image representation Entropy Image reconstruction Brownian motion

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