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Canadian Conference on electrical and computer engineering (CCECE)

作者： S. Dueck N. Gadhok M. Kinsner J. Kraut T. Tessier W. Kinsner Signal and Data Compression Lab Department of Electrical and Computer Engineering University of Manitoba Winnipeg MAN Canada Department of Electrical and Computer Engineering McMaster University Hamilton ONT Canada Bristol Aerospace Limited Winnipeg MAN Canada

This paper describes the architecture and laboratory prototype implementation of the data handling subsystem (DHS) contributed by Team Canada to the Young Engineers' Satellite (YES2) project YES2 is a space-tether initiative of the European space agency uniting thirty universities in Europe, Canada, Asia, and Australia. The purpose of the DHS is to control a 35 km swinging tether for insertion of a low-mass payload into the Earth' s atmosphere from a low-orbiting spacecraft such as the International Space Station. Single event effects, absence of convective cooling, and tether length estimation are the primary design challenges. As a consequence, key software and hardware design features include radiation mitigation, power minimization, thermal mitigation, pulse detection and emphasis on discrete components. The DHS has recently undergone interface testing with teams from Spain, Italy, and Germany at the first YES2 test readiness review at ESTEC with launch scheduled on a Russian carrier for 2005.

关键词： Testing Laboratories Prototypes Data handling Aerospace engineering Data engineering Design engineering Satellites Educational institutions Europe

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Multimedia Classification via Tensor Linear Discriminant Analysis

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IEEE Transactions on Broadcasting 2024年第4期70卷 1139-1152页

作者： Chang, Shih-Yu Wu, Hsiao-Chun Yan, Kun Chih-Hao Huang, Scott Wu, Yiyan San Jose State University Department Of Applied Data Science San JoseCA95192 United States Louisiana State University School Of Electrical Engineering And Computer Science Baton RougeLA70803 United States Yuan Ze University Innovation Center For Ai Applications Taoyuan32003 Taiwan Guilin University Of Electronic Technology Guangxi Key Laboratory Of Wireless Wideband Communication And Signal Processing Department Of Information And Telecommunication Guilin541004 China National Tsing Hua University Department Of Electrical Engineering Hsinchu300 Taiwan Western University Department Of Electrical And Computer Engineering LondonONN6A 3K7 Canada

Linear discriminant analysis (LDA) is a well-known feature-extraction technique for data analytic and pattern classification. As the dimensionality of multimedia data has increased in this big era, it is often to characterize data by tensors. Over the past two decades, researchers have thus explored to extend LDA to the general tensor space, especially in two common ways: LDA of tensors using tensor decomposition methods (by conversion of tensors to matrices) and LDA of tensors built upon the T-product. However, both of the aforementioned approaches have restrictions thereby. A critical problem about how to carry out LDA of arbitrary scatter tensors based on the Einstein product still remains unsolved by the existing methods. Therefore, we propose a novel tensor LDA (a.k.a. TLDA) approach, which can carry out the LDA of arbitrary-dimensional scatter-tensors without any need of tensor decomposition. Besides, for reducing the computation time, we also design a parallel paradigm to execute our proposed TLDA in this work. Numerical experiments conducted over real multimedia data demonstrate the efficacy of our proposed new TLDA in terms of classification accuracy. Moreover, the comparison of the classification accuracies, computational-complexities, and memory-complexities of our proposed novel TLDA scheme and other existing tensor-based LDA methods is made. By leveraging TLDA for high-dimensional feature extraction, segmentation, and user-item interaction data processing, future multimedia recommendation systems can facilitate more accurate, engaging, and satisfactory user experience over the Internet. © 1963-12012 IEEE.

关键词： Tensors

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Characterization of a cascade LMS predictor

Characterization of a cascade LMS predictor

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2005 IEEE International Conference on Acoustics, Speech, and signal Processing, ICASSP '05

作者： Huang, D.Y. Su, X. Nallanathan, A. Multimedia Signal Processing Laboratory Media Division Institute for Infocomm Research 21 Heng Mui Keng Terrace Singapore 119613 Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore 119260 Singapore

ISBN: (纸本)0780388747

In this paper, an FIR cascade structure for adaptive linear prediction is studied in which each stage FIR filter is independently adapted using LMS algorithm. The theoretical analysis shows that the cascade performs a linear prediction in a way of successive refinement and each stage tries to obliterate the dominant mode of its input. Experimental results show that the performance of the cascade LMS predictor are in good agreement with our theoretical analysis. ©2005 IEEE.

关键词： signal filtering and prediction

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Point Cloud Generation with Stereo and Monocular Depth Estimation on FPGA

Point Cloud Generation with Stereo and Monocular Depth Estim...

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2022 IEEE International Conference on Electro Information Technology, eIT 2022

作者： Perez-Vicente, Alejandro Hernandez, David Fang, Tianyang Saniie, Jafar Illinois Institute of Technology Embedded Computing and Signal Processing Department of Electrical and Computer Engineering Research Laboratory ChicagoIL60616 United States Universidad Politécnica de Madrid Etsi Industriales Madrid Spain

ISBN: (纸本)9781665480093

This research proposes a system that leverages stereo vision and monocular depth estimation to form a depth map from which a 3D point cloud scene is extracted. The emergence of competitive neural networks for depth map estimation presents an opportunity for deployment on embedded systems. Both stereo and monocular depth algorithms were tested on multiple FPGA hardware platforms. To perform acceleration on configurable hardware, a Deep Learning Processing Unit (DPU) IP was used for processing AI workloads, together with a Pseudo-LiDAR reprojection for 3D reconstruction on the Arm® processor. The DPU performance configuration will depend on the logic resources the targeted board has. This paper highlights the performance, resource utilization, and bottlenecks that came across different tested combinations of both hardware and neural network architectures. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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MULTIDIMENSIONAL INVERSE SCATTERING - AN ORTHOGONALIZATION FORMULATION

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JOURNAL OF MATHEMATICAL PHYSICS 1987年第7期28卷 1481-1491页

作者： YAGLE, AE Communications and Signal Processing Laboratory Department of Electrical Engineering and Computer Science The University of Michigan Ann Arbor Michigan 48109

The three‐dimensional Schr?dinger equationinverse scattering problem is solved using an orthogonalization approach. The plane waves propagating in free space are orthogonalized with respect to an inner product defined in terms of a Jost operator. The resulting integral equation is identical to the generalized Gel’fand–Levitan equation of Newton, although the present derivation is simpler and more physical than that of Newton. Newton’s generalized Marchenko equation is derived from the defining integral equation for the Jost operator. These integral equations are shown to be solved by fast algorithms derived directly from the properties of their solutions. This paper thus presents a simple interpretation of Newton’s two integral equations, two fast algorithms for solving these integral equations, and relations between the various approaches. This is a generalization of previously obtained results, which are also reviewed here, for the one‐dimensional inverse scattering problem.

关键词： Integral equations Inverse scattering Orthogonalization Operator equations

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DIFFERENTIAL AND INTEGRAL METHODS FOR MULTIDIMENSIONAL INVERSE SCATTERING PROBLEMS

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JOURNAL OF MATHEMATICAL PHYSICS 1986年第10期27卷 2584-2591页

作者： YAGLE, AE Communications and Signal Processing Laboratory Department of Electrical Engineering and Computer Science The University of Michigan Ann Arbor Michigan 48109

A layer stripping procedure for solving three‐dimensional Schr?dinger equationinverse scattering problems is developed. This procedure operates by recursively reconstructing the Radon transform of the potential from the jump in the Radon transform of the scattered field at the wave front. This reconstructed potential is then used to propagate the wave front and scattered field differentially further into the support of the potential. The connections between this differential procedure and integral equation procedures are then illustrated by the derivations of two well known exact integral equation procedures using the Radon transform and a generalized Radon transform. These procedures, as well as the layer stripping procedure, are then reduced to the familiar Born approximation result for this problem by neglecting multiple scattering events. This illustrates the central role of the Radon transform in both exact and approximate inversion procedures.

关键词： Integral transforms Integral equations Acoustic wave front reconstruction Inverse scattering Differential equations

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Objective Measure of Upper Extremity Motor Impairment in Parkinson's Disease with Inertial Sensors

Objective Measure of Upper Extremity Motor Impairment in Par...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Jeffrey D. Hoffman James McNames Biomedical Signal Processing Laboratory and graduate student in the Department of Electrical and Computer Engineering at Portland State University Department of Electrical and Computer Engineering at Portland State University

ISBN: (纸本)9781424441211

Functional motor impairment caused by Parkinson's disease and other movement disorders is currently measured with rating scales such as the Unified Parkinson's Disease Rating Scale (UPDRS). These are typically comprised of a series of simple tasks that are visually scored by a trained rater. We developed a method to objectively quantify three upper extremity motor tasks directly with a wearable inertial sensor. Specifically, we used triaxial gyroscopes and adaptive filters to quantify how predictable and regular the signals were. We found that simply using the normalized mean squared error (NMSE) as a test statistic permitted us to distinguish between subjects with and without Parkinson's disease who were matched for age, height, and weight. A forward linear predictor based on the Kalman filter was able to attain areas under the curve (AUC) in receiver operator characteristic (ROC) curves in the range of 0.76 to 0.83. Further studies and development are warranted. This technology has the potential to more accurately measure the motor signs of Parkinson's disease. This may reduce statistical bias and variability of rating scales, which could lead to trials with fewer subjects, less cost, and shorter duration.

关键词： Parkinson Disease inertia sensor Rating Scales Motor Disorders Statistical Biases Kalman filters Upper Extremity adaptive filters

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Local spectrum sensing in non-Gaussian noise

Local spectrum sensing in non-Gaussian noise

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International Conference on Telecommunications (ICT)

作者： Sayed Jalal Zahabi Ali. A. Tadaion Statistical Signal Processing Laboratory Department of Electrical and Computer Engineering Yazd University Yazd Iran

This paper deals with the local spectrum sensing problem in non-Gaussian noise. It is of great importance to reliably detect the presence of licensed users in cognitive radio. This task highly depends on the noise distribution, thus it is important to characterize the noise behavior as best as possible. Although Gaussian assumption for noise is of interest due to many reasons, it sometimes fails to model the behavior of noise in practice. In this paper we present a local spectrum sensing scheme in a broad family of non-Gaussian noise. We reasonably assume that the Primary User (PU) signal is Phase Shift Keying (PSK) modulated, where the number of constellation points, M, and the symbol code sequence are unknown to the Secondary Users (SU), as in practice. We also assume that the SUs are unaware of the PU signal complex amplitude and the non-Gaussian noise variance. Within this framework, we obtain the Generalized Likelihood Ratio Test (GLRT) as our spectrum sensing scheme and propose an approximate implementation of the resulting GLRT. Simulation results show that our proposed scheme has an acceptable performance.

关键词： Gaussian noise Phase shift keying Cognitive radio Testing Phase modulation Modulation coding Constellation diagram signal processing Laboratories Gaussian distribution

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Expectation propagation approach to joint channel estimation and decoding for OFDM systems

Expectation propagation approach to joint channel estimation...

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2014 IEEE International Conference on Acoustics, Speech, and signal Processing, ICASSP 2014

作者： Wu, Sheng Kuang, Linling Ni, Zuyao Lu, Jianhua Huang, Defeng David Guo, Qinghua Department of Electronic Engineering Tsinghua University China Tsinghua Space Center Tsinghua University China Research Institute of Information Technology Tsinghua University China Shenzhen Key Laboratory of Wireless Broadband Communication and Signal Processing China School of Electrical Electronic and Computer Engineering University of Western Australia Australia School of Electrical Computer and Telecommunications Engineering University of Wollongong Australia

ISBN: (纸本)9781479928927

We propose a message-passing algorithm of joint channel estimation and decoding for OFDM systems, where expectation propagation is exploited to deal with channel estimation. Specially, the message updating is formulated into a recursive form. As a result, for system with K subcarriers and L channel taps, only O(K + L) messages need to be tracked, and meanwhile they can be efficiently calculated using FFT with complexity O(K-A- + K log2 K), where -A- denotes the constellation size. Numerical experiments show that our algorithm achieves BER performance within 0.5 dB of the known-channel bound. © 2014 IEEE.

关键词： Orthogonal frequency division multiplexing

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Deconvolution of sensor array signals using scale transform properties

Deconvolution of sensor array signals using scale transform ...

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IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

作者： M. Izzetoglu T. Akgul Signal Processing Laboratory Electrical and Computer Engineering Department Drexel University Philadelphia PA USA

In this paper, we present the extension of solutions to the multiscale deconvolution problem which appears in sensor array applications. The sensor outputs are assumed to be generated as a convolution of the unknown source signal, the so-called wavelet, with various time-scaled versions of an unknown impulse response of the medium, namely reflectivity sequences. Methods to deconvolve these signals are available if the scaling effects, referred to as time-scale factors, are truly known. Here we show that time-scale factors between the system impulse responses can be obtained from the sensor array measurements by using the scale transform properties which yield "absolutely blind" multiscale deconvolution scheme.

关键词： Sensor arrays Deconvolution Reflectivity signal processing Biosensors Application software Convolution Sensor systems Discrete transforms signal generators

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