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Canadian Conference on electrical and computer engineering (CCECE)

作者： R.L. Barry W. Kinsner J. Pear T. Martin Department of Electrical and Computer Engineering Signal and Data Compression Laboratory Department of Psychology University of Manitoba Winnipeg MAN Canada Department of Psychology TRLabs (Telecommunications Research Laboratories) Winnipeg Manitoba Canada

In this paper, a novel multifractal approach to the classification of unknown self-affine signals is presented as an improvement over traditional traffic signal classifiers. The fundamental advantages of using multifractal measures include normalization and a very high compression ratio of a signature of the traffic, thereby leading to faster implementations, and the ability to add new traffic classes without redesigning the traffic classifier. The variance fractal dimension trajectory is used to provide a multifractal "signature" for each type of traffic over its duration, and the modelling of its statistical histograms provides further compression and generalization. Principal component analysis is used to reduce the dimensionality of the data, and the k-means clustering algorithm is used to determine the number of classes in the multifractal signatures. A probabilistic neural network is then trained with these signatures, and its performance on classifying unknown traffic is used to indicate the most likely number of classes in the data.

关键词： Fractals Traffic control Telecommunication traffic Communication system traffic control Telecommunication computing Neural networks Video recording Local area networks Wide area networks ISDN

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Sonar resolution-based environment mapping 15

Sonar resolution-based environment mapping

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15th IEEE International Conference on Robotics and Automation, ICRA 1998

作者： Cahut, Leyla Vlavanis, Kimon P. Delic, Hakan Robotics and Automation Laboratory Center for and Advanced Computer Studies University of Southwestern Louisiana LafayetteLA70504 United States Signal and Image Processing Laboratory Department of Electrical Engineering BogaziCi University Bebek 80815 Istanbul Turkey

ISBN: (纸本)078034300X

Ultrasonic range sensors are used to obtain the information required for collision-free navigation of a mobile robot in a semi-structured or unstructured environment. A set of range readings from a ring of sonars are correlated to acquire a 2D map of the robot's environment. The map is continuously enhanced via novel matching and update algorithms as new data are collected while the robot is in motion. The algorithm utilizes confidence measures that are directly obtained from the sonar's resolution or accuracy. There are no additional modeling assumptions and the approach is robust. The algorithms are experimentally tested on the Nomad 200 mobile robot and Nomad's Cognos Software Development Package. © 1998 IEEE.

关键词： Software testing

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signal-DEPENDENT TIME-FREQUENCY ANALYSIS USING A RADIALLY GAUSSIAN KERNEL

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signal PROCESSING 1993年第3期32卷 263-284页

作者： BARANIUK, RG JONES, DL Laboratoire de Traitement du Signal Laboratoire de Physique Ecole Normal Supérieure de Lyon 46 allée d'Italie 69364 Lyon Cedex 07 France Department of Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois 1308 W. Main Urbana IL 61801 USA

Time-frequency distributions are two-dimensional functions that indicate the time-varying frequency content of one-dimensional signals. Each bilinear time-frequency distribution corresponds to a kernel function that controls its cross-component suppression properties. Current distributions rely on fixed kernels, which limit the class of signals for which a given distribution performs well. In this paper, we propose a signal-dependent kernel that changes shape for each signal to offer improved time-frequency representation for a large class of signals. The kernel design procedure is based on quantitative optimization criteria and two-dimensional functions that are Gaussian along radial profiles. We develop an efficient scheme based on Newton's algorithm for finding the optimal kernel;the cost of computing the signal-dependent time-frequency distribution is close to that of fixed-kernel methods. Examples using both synthetic and real-world multi-component signals demonstrate the effectiveness of the signal-dependent approach - even in the presence of substantial additive noise. An attractive feature of this technique is the ease with which application-specific knowledge can be incorporated into the kernel design procedure.

关键词： TIME FREQUENCY ANALYSIS BILINEAR TIME FREQUENCY DISTRIBUTIONS TIME-VARYING SPECTRAL ANALYSIS WIGNER DISTRIBUTION

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ONE-BIT SPECTRAL-CORRELATION ALGORITHMS

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IEEE TRANSACTIONS ON signal PROCESSING 1993年第1期41卷 423-427页

作者： GARDNER, WA ROBERTS, RS Signal Processing Group Department of Electrical and Computer Engineering University of California Davis CA USA Los Alamos National Laboratory Los Alamos NM USA Signal Processing Group. Department of Electrical and Computer Engineering University of California Davis CA USA

A technique that greatly simplifies the computational complexity of digital cyclic spectral analysis algorithms is presented. The technique, which is based on Bussgang's theorem, replaces complex multiplications in spectral correlation operations with simple sign-change and data-multiplexing operations. Moreover, the technique is applicable to both time- and frequency-averaging algorithms. A simulation study that compares the computed results obtained using the new technique with results from standard time- and frequency-averaging algorithms shows that the new technique is very promising, particularly for frequency-averaging algorithms.

关键词： signal processing algorithms Frequency estimation Spectral analysis signal analysis Instruments signal processing Bandwidth Aging Phase measurement Laboratories

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Spectral derivative feature coding for hyperspectral signature analysis

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Pattern Recognition 2009年第3期42卷 395-408页

作者： Chang, Chein-I Chakravarty, Sumit Chen, Hsian-Min Ouyang, Yen-Chieh Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 United States Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Environmental Restoration and Disaster Reduction Research Center National Chung Hsing University Taichung Taiwan Department of Medical Research China Medical University Hospital Taichung Taiwan Department of Radiology China Medical University Hospital Taichung Taiwan

This paper presents a new approach to hyperspectral signature analysis, called spectral derivative feature coding (SDFC). It is derived from texture features used in texture classification to dictate gradient changes among adjacent bands in characterizing spectral variations so as to improve better spectral discrimination and classification. In order to evaluate its performance, two known binary coding methods, spectral analysis manager (SPAM) and spectral feature-based binary coding (SFBC) are used to conduct comparative analysis. Experimental results demonstrate that the proposed SDFC performs more effectively in capturing spectral characteristics than do SPAM and SFBC. © 2008 Elsevier Ltd. All rights reserved.

关键词： Spectrum analysis

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Multi-Quasi-Proportional-Resonant Control for Capacitive-Coupling Grid-Connect Inverter (CGCI) with Accurate Active Power Injection Technique 49

Multi-Quasi-Proportional-Resonant Control for Capacitive-Cou...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Chan, Pak-Ian Sou, Wai-Kit Lam, Chi-Seng University of Macau State Key Laboratory of Analog and Mixed-Signal Vlsi China Institute of Microelectronics University of Macau China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350331820

In this paper, a multi-quasi-proportional-resonant control (MQPRC) for a three-phase capacitive-coupling grid-connect inverter (CGCI) with accurate active power injection technique is proposed to mitigate the current harmonics and improve the active power injection accuracy. Then, a detail parameter design of the proposed MQPRC is provided. And the proposed accurate active power injection is verified by the simulation. Subsequently, to verify the effectiveness of the proposed MQPRC, the simulation results are presented in comparison to the quasi-proportional-resonant control (QPRC). © 2023 IEEE.

关键词： Power quality

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Chesapeake bay water quality monitoring using satellite imagery

Chesapeake bay water quality monitoring using satellite imag...

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作者： Ramakrishna, Bharath Chang, Chein-I. Trou, Bruce Henqemihle, Jerry Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 Microtel LLC 111 Centerway Greenbelt MD 20770

The Chesapeake Bay is a valued ecological, economic, recreational, cultural and scenic resource. The Bay watershed States and the District of Columbia, in conjunction with the EPA Chesapeake Bay Program, have worked and teamed together over the past 20 years to protect and restore the Bay ecosystem. A key component of this effort is water quality and habitat monitoring to assess the impact of management actions and natural, processes, and evaluate habitat parameters on living resources such as submerged aquatic vegetation (SAV), oysters, and fisheries. Using aerial and satellite remote sensing imagery has become a practical and effective means of monitoring water quality in a timely manner. Of particular interest in evaluation of water clarity are several initiative measures. Specifically, Secchi-Disk Transparency (SDT) and Chlorophyll α (Chl-α) have been widely accepted as critical indicators of water quality and their reliable estimation using satellite imagery provides a cost effective and speedy means for water quality monitoring. Work done at Water Resources Center, University of Minnesota has demonstrated the feasibility of performing regional assessment of lake water quality using LANDSAT image data. This paper investigates an approach similar to their work but uses a different type of satellite imagery, EO-1 ALI imagery where the SDT and Chl-a are also used as indicators to estimate water quality for the Chesapeake Bay and DC area (Potomac River). In doing so, three major issues are investigated, which are (1) the study site that is an open Bay area, not a self-contained lake;(2) investigation of applicability of equations that are used to specify the SDT and Chl-α to our Bay area study;(3) the use of a different type of satellite imagery for water quality monitoring. This paper develops techniques to address these three issues and presents preliminary experiments which show encouraging results. © World Scientific Publishing Company.

关键词： Water quality

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Analysis and Design of An Improved Model Predictive Control for Single-Phase LC-Coupling Hybrid Active Power Filter 48

Analysis and Design of An Improved Model Predictive Control ...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Chan, Pak-Ian Sou, Wai-Kit Lam, Chi-Seng State Key Laboratory of Analog and Mixed-Signal VLSI University of Macau Macau China Institute of Microelectronics University of Macau Macau China Department of Electrical and Computer Engineering University of Macau Macau China

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

In this paper, an improved model predictive control (MPC) is proposed for a single-phase LC-coupling hybrid active power filter (LC-HAPF), which ensures the low steady-state error and fast transient response. Generally, the intrinsic discretized and predictive error of the traditional MPC for the LC-HAPF enlarges the steady-state error. To relax this problem, a signal correction technique is proposed, and therefore reduce the steady-state error. Then, the parameter design of the proposed improved MPC for the LC-HAPF is given based on the stability analysis. Finally, simulated results are provided to verify the effectiveness of the improved MPC compared with the traditional MPC. © 2022 IEEE.

关键词： Model predictive control

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Particle Swarm Optimization Based Modulation Design of Series-Series Compensated Inductive Power Transfer for Constant Voltage Output with High Efficiency over a Wide Load Range 4

Particle Swarm Optimization Based Modulation Design of Serie...

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4th IEEE International Future Energy Electronics Conference, IFEEC 2019

作者： Hoi, Iok-U Iam, Io-Wa Huang, Zhicong Lam, Chi-Seng State Key Laboratory of Analog and Mixed-Signal VLSI University of Macau China Institute of Microelectronics University of Macau China Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau China

ISBN: (纸本)9781728131535

To maintain high efficiency over a wide range of load, inductive power transfer (IPT) converter should have the ability of load impedance matching. Recently, a series-series compensated IPT converter with semi-active rectifier has been studied to output a constant voltage, while keep high efficiency by changing the load impedance and the operating frequency. However, the relationships among the power efficiency, output voltage and the load conditions are complicated and not intuitive, and also challenging the design and implementation of this converter. This paper proposes a Particle Swarm Optimization (PSO) algorithm to seek for the optimum modulation for constant voltage and high efficiency over a wide load range. This method is efficient, logical and intuitive, shortening over 95% of the conventional computation time. © 2019 IEEE.

关键词： Modulation

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Optimizing Inductive Power Transfer Circular Pad Coils for Electric Vehicles Using Multi-Objective Particle Swarm Optimization 49

Optimizing Inductive Power Transfer Circular Pad Coils for E...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Wong, Hou-Wa Ieong, Chi-Fong Lam, Chi-Seng University of Macau State Key Laboratory of Analog and Mixed-Signal Vlsi China Institute of Microelectronics University of Macau China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350331820

The wireless power transfer (WPT) technology has gained significant attention in recent years due to its potential to provide a convenient and efficient method to charging electronic devices without the need for physical connections. In wireless charging, the inductive coils are significantly important as they are the component that power transfer takes place. In this context, Multi-Objective Particle Swarm Optimization (MOPSO) has emerged as a promising technique for designing WPT coils with improved performance. Aiming to verify the performance of the designed coil, LCC-S compensation topology was utilized as it can provide practical battery charging specifications. © 2023 IEEE.

关键词： Inductive power transmission

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