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How to effectively utilize information to design hyperspectral target detection and classification algorithms

How to effectively utilize information to design hyperspectr...

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2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data

作者： Chang, Chein-I. Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States

ISBN: (纸本)0780383508

Hyperspectral imagery offers a means of uncovering enormous spectral information that can be used for various applications in data exploitation. How effectively such information is used affects the way image analysis algorithms are designed. In this paper, we take up this issue and focus on algorithms designed and developed for target detection and classification in hyperspectral imagery. In order to effectively characterize the information available before and after the data are processed, the a priori information and a posteriori information are used in accordance with how the information is obtained. A piece of information is referred to as a priori information if it is provided by known knowledge before data are processed. On the other hand, a piece of information is referred to as a posteriori information if it is unknown a priori, but can be obtained directly from the data in an unsupervised fashion during the course of data processing. Since a priori information is known beforehand, it can be further decomposed into two types of information, desired and undesired a priori information. The desired a priori information is the knowledge that will assist, improve and enhance data analysis, whereas the undesired a priori information is the knowledge that hinders, interferes or destructs analysis during data processing. This paper investigates how these three types of information play their roles in design and development of several hyperspectral target detection and classification algorithms. Experiments are also conducted to validate their utility. © 2004 IEEE.

关键词： Classification (of information)

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Application of LDPC Codes on PUF Error Correction Based on Code-offset Construction

Application of LDPC Codes on PUF Error Correction Based on C...

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2017 IEEE 12th International Conference on ASIC

作者： Kai Sun Yingjie Lao Weiqiang Liu Xiaohu You Chuan Zhang Lab of Efficient Architectures for Digital-communication and Signal-processing(LEADS) National Mobile Communications Research Laboratory Southeast University Department of Electrical and Computer Engineering Clemson University College of Electronic and Information Engineering NUAA

ISBN: (纸本)9781509066261;9781509066254

As a newly emerging technology,physical unclonable functions(PUFs) have drawn a lot of *** their cryptographic applications,error correction is an indispensable component to fight against environmental factors which influence PUFs' ***,BCH codes have been applied to the error correction part to enhance the stability of an cryptographic system using *** this paper,low-density parity-check(LDPC) codes are first used to correct errors caused by environmental factors and shown to perform better than BCH codes in some *** addition,normalized minsum algorithm has been considered to balance the performance and complexity of LDPC decoding.

关键词： Physical unclonable functions(PUFs) lowdensity parity-check(LDPC) codes key reproduction error correction

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Nonlinear PID DC-link Voltage Control for Hybrid Power Filter Based on Robust Exact Differentiator with Improved Transient Response 48

Nonlinear PID DC-link Voltage Control for Hybrid Power Filte...

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

作者： Gong, Cheng Sou, Wai-Kit Lam, Chi-Seng Komurcugil, Hasan State Key Laboratory of Analog and Mixed-Signal Vlsi University of Macau China University of Macau Institute of Microelectronics China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China Eastern Mediterranean University Department of Computer Engineering Famagusta Turkey

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

LC-coupling hybrid active power filter (LC-HAPF) is a cost-effective solution to address power quality issues in low and medium voltage distribution networks. The DC-link voltage controller plays an important role of the LC-HAPF performance. Conventionally, proportional-integral (PI) controller is commonly used for DC-link voltage control due to the ideally zero steady-state error. However, the property of integrator slows down the transient response of DC-link voltage and thus effects the LC-HAPF dynamic performance. In this paper, a nonlinear PID (NPID) controller based on robust exact differentiator (RED) is proposed to improve the transient response of conventional PI controller. First, the parameters of the PID controller are designed by s-domain transfer function analysis. Then, the RED is proposed to replace the linear differentiator, which provides the differential signal fast and accurately. Finally, the advantages of the proposed NPID controller based on RED are verified by simulation results compared with the conventional PI controller. © 2022 IEEE.

关键词： Transient analysis

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Multifractal characterization for classification of telecommunications traffic

Multifractal characterization for classification of telecomm...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： R. Barry W. Kinsner TR Laboratories (Telecommunications Research Laboratories) Winnipeg MAN Canada Signal and Data Compression Laboratory Department of Electrical and Computer Engineering University of Manitoba Winnipeg MAN Canada

A novel multifractal approach to telecommunications traffic classification is presented as an improvement over traditional traffic classifiers. The fundamental advantages of using multifractal measures include normalization and a very high compression ratio of a signature of the traffic, thus leading to more reliable and 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. As a multifractal, the Renyi dimension spectrum is constructed to show the unique characteristics of each type of traffic. A probabilistic neural network is trained with the variance fractal dimension trajectory of the traffic, and has demonstrated 90.7% classification accuracy with a 585:1 compression ratio, and 90.4% classification accuracy with a 1024:1 compression ratio.

关键词： Fractals Telecommunication traffic Communication system traffic control Traffic control Neural networks Microwave integrated circuits Telecommunication network reliability Telecommunication control Local area networks Wide area networks

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An over-complete independent component analysis (ICA) approach to magnetic resonance image analysis

An over-complete independent component analysis (ICA) approa...

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2005 27th Annual International Conference of the engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Wang, Jing Chang, Chein-I. Chen, Hsiang Ming Chen, Clayton Chi-Chang Chai, Jyh Wen 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 Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Department of Radiology Taichung Veterans General Hospital Taichung Taiwan

ISBN: (纸本)0780387406

This paper presents a new application of independent component analysis (ICA) in magnetic resonance (MR) image analysis. One of most successful applications for ICA-based approaches in MR imaging is functional MRI (fMRI) which basically deals with one-dimensional temporal signals. The ICA approach proposed in this paper is rather different and considers a set of MR images acquired by different pulse sequences as a 3-dimensional image cube and performs image analysis rather than signal analysis. One major difference between the fMRI-based ICA approaches and our proposed ICA-based image analysis is that the ICA used in the former is under-complete as opposed to the latter which uses over-complete ICA. Such a fundamental difference results in completely different applications. © 2005 IEEE.

关键词： Magnetic resonance imaging

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A Biologically Motivated Phase-Offset to the Piecewise-Linear Model of Instantaneous Heart-Rate Interpolation

A Biologically Motivated Phase-Offset to the Piecewise-Linea...

引用

Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： M. Potter W. Kinsner Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg Manitoba Canada R3T 5V6

This paper formalizes the general theory of instantaneous heart-rate (IHR) interpolation from electrocardiogram RR-intervals. This paper also introduces a novel extension to the current basic piecewise-linear interpolation method which allows the discontinuity of the IHR interpolation to be offset from the R-wave. Thus an entire heart cycle can be modelled with a constant IHR. This phase-offset piecewise-linear IHR interpolation model is derivedfrom the general theory of IHR interpolation and results are demonstrated on some true recorded RR-sequences. Recursive and batch matrix forms are derived. Stable solutions can be found for any offset not equal to it radians, though the IHR calculated with a nonzero offset has a significant change to the HRV statistics. Applications of this method to the synthesis of ECG with natural heart-rate variability is also discussed.

关键词： instantaneous heart-rate IHR heart-rate vari-ability HRV electrocardiogram ECG RR-interval.

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Discrimination and identification for subpixel targets in hyperspectral imagery

Discrimination and identification for subpixel targets in hy...

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2004 International Conference on Image Processing, ICIP 2004

作者： Chang, Chein-I. Liu, Weimin Chang, Chein-Chi Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 Department of Civil and Environmental Engineering University of Maryland Baltimore County Baltimore MD 21250

Spectral measures have been used in material identification and discrimination. They are effective if the spectral signatures are calibrated and not contaminated. However, it may not be true in many real applications, specifically, for mixed pixels and subpixel targets. This paper investigates the issue of discrimination and identification for subpixel targets and further develops sample spectral covariance/correlation matrix-based hyperspectral measures to account for spectral variability within subpixel targets. Two types of measures are of interest and studied, Mahalanobis distance-based hyperspectral measures and matched filter-based hyperspectral measures. In order to substantiate the proposed measures, a real data-based comparative analysis is conducted and compared to two spectral similarity measures, spectral angle mapper (SAM) and spectral information divergence (SID) for performance evaluation. The experiments show that both Mahalanobis distance-based hyperspectral measures and matched filter-based hyperspectral measures work very effectively and outperformed the SAM and the SID in discrimination and identification for subpixel targets. ©2004 IEEE.

关键词： Imaging techniques

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Comparison of entropy-based characterization of lightning strike maps using planar and spherical coordinates

Comparison of entropy-based characterization of lightning st...

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Canadian Conference on electrical and computer engineering 2005

作者： Faghfouri, A. Kinsner, W. Swatek, D. Dept. of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg Man. R3T 5V6 Canada Insulation Engineering and Testing Department Manitoba Hydro 1840 Chervier Blvd. Winnipeg Man. R3C 2P4 Canada

In this paper, effects of including the curvature of the Earth in the characterization of the lightning strike maps (LSMs) are studied. Lightning strikes can adversely affect the power generation and distribution systems, and behaviour prediction of such LSMs is of interest for protection and planning in the power industry. Characterization is one of the important stages of the behaviour prediction. We have shown that multifractal measures such as the Rényi fractal dimension spectrum (RS) are appropriate for characterization of such LSMs which are self-affine. The computation of the RS is based on estimating the probability density function (pdf) of the lightning strikes distribution. Since the LSMs range from very large to low densities over a large geographical area such as Manitoba, computing this pdf in planar coordinates is subject to a nonlinear error due to the curvature of the Earth. Thus, modelling and calculating the maps in spherical coordinates yields a better estimation of the pdf. The data of the LSMs have been collected by the Canadian Lightning Detection Network (CLDN) during the year 2002. The LSMs of Manitoba are characterized through regular (using planar coordinates) and modified (using spherical coordinates) RS techniques. The results indicate that regular RS technique alters the characteristics of the feature space, especially in latitudinal direction, and causes sparser features in the feature space, while using the modified RS technique alleviates all these problems, and provides a more accurate characterization which is necessary for a reliable classification of the maps. © 2005 IEEE.

关键词： Lightning

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Features for Phoneme Independent Speaker Identification

Features for Phoneme Independent Speaker Identification

引用

International Conference on Audio, Language and Image Processing

作者： Jianglin Wang An Ji Michael T. Johnson Speech and Signal Processing Laboratory Department of Electrical and Computer Engineering Marquette University Speech and SignalProcessing Laboratory Department of Electrical and Computer Engineering Marquette University

ISBN: (纸本)9781467301732

This paper describes a unique cross-phoneme speaker identification experiment, using deliberately mismatched phoneme sets for training and testing. The underlying goal is to identify features that represent broad individually unique characteristics rather than those that represent phonetic differences, as are more typical of modern speaker identification and verification systems. A wide range of features are proposed and evaluated within this context using a Gaussian Mixture Model framework. The results show that log-area ratio has better phonetic independence than MFCCs, that residual phase carries substantial speaker information, and identifies several other features that also have usefulness for speaker identification independent of phonetic content.

关键词： speaker recognition Mel frequency cepstral coefficient phonetics verification system

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Geographic Routing Protocol with Data Aggregation in Vehicular Ad-hoc Networks (VANETs) 11

Geographic Routing Protocol with Data Aggregation in Vehicul...

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11th International Conference on Information Systems and Advanced Technologies, ICISAT 2021

作者： Houacine, Abdelkrim Guezouri, Mustapha University of Saida Dr. Moulay Tahar Faculty of Technology Department of Computer Science Saida Algeria Faculty of Electrical Engineering University of Science and Technology Signal Image Laboratory Department of Electronics Oran Algeria

ISBN: (纸本)9781665478243

Unlike MANET (Mobil Ad Hoc Network), VANETs (Vehicular Ad Hoc Networks) are characterized by an unlimited number of vehicles can be equal to millions of vehicles and a high mobility. The objective of developing VANETs is to improve ITS (Intelligent Transportation Systems) in terms of road safety and efficiency in the transport field. Traditional routing protocols (packet based) used for MANETs (Mobile Ad hoc Networks) does not satisfy the routing requirements in VANETs due to high speed of vehicles. In this work we propose a routing protocol with data aggregation for VANETs, where we invoke the based point geographic routing and data aggregation. The results of our simulation with SUMO and NS-3 show that our approach can help to reduce network overload by aggregating road traffic reports without maintaining a hierarchical structure. © 2021 IEEE.

关键词： Vehicular ad hoc networks

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