检索结果-内蒙古大学图书馆

2014 International Conference on Computer,Communications and Information Technology(CCIT 2014)

作者： Ming Li Haiping Wei Liping Xiao Zhiyong Suo Beijing Aerospace Automatic Control Institute National Key Laboratory of Science and Technology on Aerospace Intelligent Control National Lab.of Radar Signal Processing Xidian Univ.

ISBN: (纸本)9781629939865

A fast multi-baseline Interferometric synthetic aperture radar(In SAR) phase ambiguity resolving method is presented. The ambiguity solution vector of the shortest baseline is first computed and used as a reference, and then the ambiguity solutions of all the other baselines are selected with logical judgment of phase difference between the measured phase and the wrapped phase, which is obtained by rewrapping the product of the referenced phase and the ratios of the other baselines to the referenced baseline. 1-dimensional searching is then executed on the same index of the reserved ambiguity solutions vectors. Furthermore, the wrong estimates affected by noise are eliminated by taking the largest frequency of the ambiguity numbers counted in a window. Compared to the conventional Chinese remainder theory(CRT), the proposed method is more robust and has much less computational complexity. The validity is investigated with simulated results.

关键词： multi-baseline interferometric synthetic aperture radar(In SAR),phase ambiguity resolving,Chinese remainder theory(CRT)

来源：评论

学校读者我要写书评

暂无评论

Stochastic Performance Analysis of Uplink Traffic in High-Speed Railway Scenario 14

Stochastic Performance Analysis of Uplink Traffic in High-Sp...

引用

Proceedings of the 12th International Conference on Advances in Mobile Computing and Multimedia

作者： Ying Li Lei Lei Zhangdui Zhong Suling Ou State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Wireless Signal Processing and Network Lab Beijing University of Posts & Telecommunications

ISBN: (纸本)9781450330084

The performance analysis of high-speed railway (HSR) network has attracted broad attention in recent years. The characteristics of HSR scenario, compared with traditional public network scenario, mainly lies in the special traffic between trains and stations, i.e., train control traffic, video monitoring traffic and passenger traffic in general. Since the performance analysis of traffic in HSR, especially train control traffic and video monitoring traffic, can better guarantee the safety and improvement of railway, thus this paper researches and analyzes the performance bounds of HSR railway uplink traffic. The work is carried out based on a group of actual measurement data gathered from Chinese Train control System (CTCS) and an advanced performance analysis tool stochastic network calculus (SNC). Finally, by means of the measurement data in the uplink direction, the stochastic backlog and delay bounds of train control traffic and video monitoring traffic under different violation probabilities and bit rates are derived and compared.

关键词： stochastic network calculus train control traffic High-speed railway performance analysis train monitoring traffic

来源：评论

学校读者我要写书评

暂无评论

Development of PROTON electric vehicle control unit (eVCU) using state machine deterministic rule-based approach 2

Development of PROTON electric vehicle control unit (eVCU) u...

引用

2nd International Conference on Recent Advances in Automotive Engineering and Mobility Research, ReCAR 2013

作者： Mohd Azubir, Nor Aziah Hassan, Mohd Khair Zamzuri, Hairi Mazlan, Saiful Amri Research Department Engineering Division PROTON SDN BHD HICOM Industrial Estate Batu 3 P.O. Box 7100 Shah Alam Darul EhsanSelangor Malaysia Control System and Signal Processing Unit Department of Electrical and Electronic Engineering Universiti Putra Malaysia UTM-PROTON Active Safety Research Lab Universiti Teknologi Malaysia International Campus Kuala Lumpur Malaysia Universiti Teknologi Malaysia International Campus Kuala Lumpur Malaysia

ISBN: (纸本)9783038352617

There are many types of Electric Vehicle (EV) applied in automotive industry. It can be hybridization or electrification vehicle. Battery Electric Vehicle (BEV) also called as fully electric vehicle using batteries as the only source and an electric motor as a traction motor to move the vehicle. In a world view of BEV, it is still has circumstances that would strand the BEV to have huge commercialization due to range anxiety. This paper is discussing about an electrification vehicle power and energy management (PEM) strategy. PEM strategy has two layer control strategies that consist of low level component control and high level supervisory control. Management and control strategy in BEV is carefully designed due to heavy loads consumption from Propulsion Electrical Load (PEL) and Non Propulsion Electrical Loads (NoPEL) with a single energy source. This is to ensure that power and energy is managed at optimum level that will give some extension of wider kilometer of the vehicle. The BEV performance is typically controlled by high level supervisory control algorithm using event-based condition using state machine deterministic rule-based method. More than one drive mode to be determined in this paper as part of control strategy to get an optimal PEM performance. © (2014) Trans Tech Publications, Switzerland.

关键词： Traction motors

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis of Cooperative HADF Relaying V2I Communication Systems for ND-symbol Burst Transmission using PSA-CE methods Over Quasi-Static Rayleigh Fading channels

Performance Analysis of Cooperative HADF Relaying V2I Commun...

引用

17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering Conference 2014

作者： Min Baek Gilwon Seo Chungha Bong Kyunbyoung Ko the Convergence-Information Technology Research Center for Next-Generation Intelligent Transport System (C-ITRC for NGITS) the Communication and Signal Processing Lab.(CSPL)the Department of IT ConvergenceKorea National University of Transportation50 Daehak-roChungju-siChungbuk380-702 Korea the Department of Control and Instrumentation Engineering Korea National University of Transportation50 Daehak-roChungju-siChungbuk380-702 Korea

In this paper,we derive the average symbol error rate(SER) for the ND-symbol burst hybrid adaptive decodeor-amplify-forward(HADF) relaying vehicle-to-infrastructure(V2I) communication systems over quasi-static independent and non-identical distributed(INID) Rayleigh fading *** proposed analytical approach includes channel estimation(CE)errors generated by practical pilot symbol assisted-CE(PSACE) ***,based on the error-events at relaying on board equipments(OBEs) for ND-symbol burst data transmission,the conditional SER expression has been derived as an exact ***,the approximated average SER(ASER)expressions are presented as the closed-forms and their accuracy is confirmed by the comparison with simulation ***,we can conclude that our analytical expressions are tractable forms,and can be used as a tool to verify effects of an erroneous detection and hybrid transmission at each relaying OBE on the combined signal-to-noise ratio(SNR) and ASER for cooperative HADF relaying communication systems.

关键词： SNR ADF Performance Analysis of Cooperative HADF Relaying V2I Communication Systems for ND-symbol Burst Transmission using PSA-CE methods Over Quasi-Static Rayleigh Fading channels Rayleigh

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation for Cooperative ADF Relaying V2I Communications with Burst transmission and PSA-CE schemes Over Quasi-Static Rayleigh Fading channels

Performance Evaluation for Cooperative ADF Relaying V2I Comm...

引用

17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering Conference 2014

作者： Gilwon Seo Min Baek Chungha Bong Kyunbyoung Ko the ConvergenceInformation Technology Research Center for Next-Generation Intelligent Transport System (C-ITRC for NGITS) the Communication and Signal Processing Lab.(CSPL)the Department of IT ConvergenceKorea National University of Transportation50 Daehak-roChungju-siChungbuk380-702 Korea the Department of Control and Instrumentation Engineering Korea National University of Transportation50 Daehak-roChungju-siChungbuk380-702 Korea

In this paper,we propose the analytical approach for adaptive decode-and-forward(ADF) relaying vehicle-toinfrastructure(V2I) schemes consisting of ND-symbol burst data transmission based on pilot symbol assisted-channel estimation(PSA-CE) methods over quasi-static Rayleigh fading *** first,we focus on the error-event at relaying on board equipments(OBEs) for ND-symbol burst data transmission,whereas previous researches considered one data symbol transmission so that they showed the best performance *** considering ND-symbol burst for ADF relaying schemes,we derive an exact bit error rate(BER) expression which can be the performance of practical ***,the practical channel estimation(CE) process is considered by pilot symbols ***,we investigate the effects of both a CE error and an estimated noise variance,which can be obtained by pilot symbol assisted(PSA)-CE methods,on the received signal-to-noise ratio(SNR) and ***,the average BER is derived in approximated closed-form expression for an arbitrary link *** derived analytical approach is verified based on the number of relaying OBEs,pilots,and data *** accuracy is confirmed by comparison with simulation results.

关键词： SNR Performance Evaluation for Cooperative ADF Relaying V2I Communications with Burst transmission and PSA-CE schemes Over Quasi-Static Rayleigh Fading channels Rayleigh ADF

来源：评论

学校读者我要写书评

暂无评论

ON DATA SPARSIFICATION AND A RECURSIVE ALGORITHM FOR ESTIMATING A KERNEL-BASED MEASURE OF INDEPENDENCE

ON DATA SPARSIFICATION AND A RECURSIVE ALGORITHM FOR ESTIMAT...

引用

IEEE International Conference on Acoustics, Speech and signal processing

作者： Pierre-Olivier Amblard Jonathan H. Manton Dept. of Mathematics&Statistics The University of Melbourne Australia Control and Signal Processing Lab The University of Melbourne Australia

ISBN: (纸本)9781479903573

Technological improvements have led to situations where data sets are sufficiently rich that in the interests of processing speed it is desirable to throw away samples that provide little additional information. This is referred to here as data sparsification. The first contribution is a study of a recently proposed data sparsification scheme;ideas from vector quantisation are used to assess its performance. Informed by this study, a modification of the data sparsification algorithm is proposed and applied to the problem of estimating a kernel-based measure of independence of two datasets. (Given i.i.d. observations from two random variables, x and y, the underlying problem are to determine whether or not x and y are independent of each other.) The second contribution of this paper is to make recursive an existing algorithm for measuring independence and able to operate on both raw data and on sparsified data generated by the aforementioned data sparsification algorithm. Compared with the original algorithm, the recursive algorithm is significantly faster due to its lower memory and computational requirements.

关键词： sparse dictionary kernel quantisation independence Quantization Recursive algorithms Dictionaries as Topic Seeds Kernel Vector quantization algorithms Dataset extra message

来源：评论

学校读者我要写书评

暂无评论

Speech Enhancement Using the Combination of Adaptive Wavelet Threshold and Spectral Subtraction based on Wavelet Packet Decomposition

Speech Enhancement Using the Combination of Adaptive Wavelet...

引用

2012 IEEE 11th International Conference on signal processing(ICSP 2012)

作者： LI Ruwei BAO Changchun XIA Bingyin JIA Maoshen Speech and Audio Signal Processing Lab School of Electronic Information and Control EngineeringBeijing University of Technology

ISBN: (纸本)9781467321969

A speech enhancement approach using adaptive wavelet threshold and spectral subtraction in the wavelet domain is proposed in this paper. First, in order to maintain the linear phase and prevent the spectral aliasing of reconstructed signals, the noisy signals are decomposed by un-decimated bi-orthogonal wavelet packet. Second, spectral subtraction is used for reducing noise from the two low-frequency sub-bands, which avoids the excessive distortion of low-frequency components caused by wavelet de-noising. Next, the improved wavelet shrinkage algorithm is adopted in the other high-frequency sub-bands. This threshold is updated by adaptively tracking the level of noise. Finally, these modified wavelet coefficients are reconstructed to obtain the enhanced speech signals by the inverse wavelet packet transform. The experimental results show that the proposed approach outperforms spectral subtraction method and wavelet de-noising method.

关键词： Speech Enhancement Wavelet Transform Wavelet De-noising Spectral Subtraction

来源：评论

学校读者我要写书评

暂无评论

A Wavelet Fusion Method for Speech Enhancement

A Wavelet Fusion Method for Speech Enhancement

引用

2012 IEEE 11th International Conference on signal processing(ICSP 2012)

作者： Bing-yin XIA Chang-chun BAO Speech and Audio Signal Processing Lab School of Electronic Information and Control EngineeringBeijing University of Technology

ISBN: (纸本)9781467321969

In order to integrate the characteristics of different noise reduction algorithms, a wavelet fusion method for speech enhancement is proposed in this paper. In the proposed method, the noisy speech is first decomposed into several sub-bands by wavelet packet analysis, and then enhanced by the statistical model based method and wavelet thresholding method, respectively. The output of each sub-band is obtained under the fusion rule based on the cross-correlation and the a priori SNRs of the two enhanced coefficient sets. Finally, the enhanced coefficients are transformed back to time domain to get the enhanced speech. The performance of the proposed method is evaluated under ITU-T G.160. The test result shows that, comparing with the reference algorithms, the proposed method produces enhanced speech with better objective quality, while the amount of noise reduction and SNR improvement remains at a high level. The impact on the speech level is kept in an acceptable range at the same time.

关键词： speech enhancement wavelet fusion WEDM wavelet thresholding

来源：评论

学校读者我要写书评

暂无评论

Highlights from the 11th ISCB Student Council Symposium 2015. Dublin, Ireland. 10 July 2015

引用

BMC bioinformatics 2016年第3期17 Suppl 3卷 95页

作者： Katie Wilkins Mehedi Hassan Margherita Francescatto Jakob Jespersen R. Gonzalo Parra Bart Cuypers Dan DeBlasio Alexander Junge Anupama Jigisha Farzana Rahman Griet Laenen Sander Willems Lieven Thorrez Yves Moreau Nagarajan Raju Sonia Pankaj Chothani C. Ramakrishnan Masakazu Sekijima M. Michael Gromiha Paddy J Slator Nigel J Burroughs Przemysław Szałaj Zhonghui Tang Paul Michalski Oskar Luo Xingwang Li Yijun Ruan Dariusz Plewczynski Giulia Fiscon Emanuel Weitschek Massimo Ciccozzi Paola Bertolazzi Giovanni Felici Pieter Meysman Manu Vanaerschot Maya Berg Hideo Imamura Jean-Claude Dujardin Kris Laukens Westa Domanova James R. Krycer Rima Chaudhuri Pengyi Yang Fatemeh Vafaee Daniel J. Fazakerley Sean J. Humphrey David E. James Zdenka Kuncic Plant Pathology and Plant-Microbe Biology Section School of Integrative Plant Science Cornell University Ithaca USA Graduate Field of Computational Biology Cornell University Ithaca USA School of Computing & Mathematics University of South Wales Cardiff UK Department of Genome Biology for Neurodegenerative Diseases German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association ᅟ Germany Department of Surgery Massachusetts General Hospital The Broad Institute of MIT and Harvard Boston USA Department of Systems Biology Technical University of Denmark Kemitorvet Denmark Protein Physiology Lab Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires Buenos Aires Argentina Molecular Parasitology Unit (MPU) Institute of Tropical Medicine Antwerp Belgium Advanced Database Research and Modeling (ADReM) research group University of Antwerp Antwerpen Belgium Department of Computer Science University of Arizona Tucson USA Department of Veterinary Clinical and Animal Sciences Center for non-coding RNA in Technology and Health University of Copenhagen Copenhagen Denmark University College Dublin Dublin Ireland Department of Electrical Engineering (ESAT) STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium Minds Medical IT Department Leuven Belgium Scientific Institute of Public Health (WIV-ISP) Platform of Biotechnology and Molecular Biology (PBB) Brussels Belgium Department of Development and Regeneration @ Kulak KU Leuven Kortrijk Belgium Department of Biotechnology Bhupat and Jyoti Metha School of Biosciences Indian Institute of Technology Madras Chennai India Philips Research North America Briarcliff Manor USA Global Scientific Information and Computing Center (GSIC) Tokyo Institute of Technology Tokyo Japan Systems Biology Centre University of Warwick Senate House Coventry UK Systems Biology Doctoral Training Centre University of Warwick Senate House Coventry UK Center for B

A1 Highlights from the eleventh ISCB Student Council Symposium 2015 Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman O1 Prioritizing a drug’s targets using both gene expression and structural similarity Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau O2 Organism specific protein-RNA recognition: A computational analysis of protein-RNA complex structures from different organisms Nagarajan Raju, Sonia Pankaj Chothani, C. Ramakrishnan, Masakazu Sekijima; M. Michael Gromiha O3 Detection of Heterogeneity in Single Particle Tracking Trajectories Paddy J Slator, Nigel J Burroughs O4 3D-NOME: 3D NucleOme Multiscale Engine for data-driven modeling of three-dimensional genome architecture Przemysław Szałaj, Zhonghui Tang, Paul Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski O5 A novel feature selection method to extract multiple adjacent solutions for viral genomic sequences classification Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici O6 A Systems Biology Compendium for Leishmania donovani Bart Cuypers, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens O7 Unravelling signal coordination from large scale phosphorylation kinetic data Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic

关键词： Visceral Leishmaniasis Feature Selection Method Frequent Itemset Mining Leishmania Donovani Student Council

来源：评论

学校读者我要写书评

暂无评论

Projective non-negative matrix factorization with Bregman divergence for musical instrument classification

Projective non-negative matrix factorization with Bregman di...

引用

2012 2nd IEEE International Conference on signal processing, Communications and Computing, ICSPCC 2012

作者： Rui, Rui Bao, Chang-Chun Speech and Audio Signal Processing Lab School of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 China

ISBN: (纸本)9781467321938

In this paper, the projective non-negative matrix factorization (PNMF) with Bregman divergence is applied into the musical instrument classification. A novel supervised learning algorithm for automatic classification of individual musical instrument sounds is addressed inspiring from PNMF with several versions of Bregman divergence. Moreover, the orthogonality of basis matrices between PNMF and conventional non-negative matrix factorization (NMF) is compared. In addition, three classifiers based on nearest neighbors (NN), Gaussian mixture model (GMM) and radial basis function (RBF) are added to evaluate the performance of PNMF classifier. The results indicate that the classification accuracy of the proposed PNMF classifier outperforms the classifiers derived from conventional NMF and machine learning. © 2012 IEEE.

关键词： Non-negative matrix factorization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：