检索结果-内蒙古大学图书馆

GVD effect and nonlinear pulse propagation in 40Gbit/s optical fiber communication systems

Procedia Engineering 2011年 15卷 2675-2679页

作者： Wu Sheng Liao Tong-Qing Wu Xian-Liang Ministry of Educational Key Laboratory of Intelligent Computing & Signal Processing AnHui University Hefei 230039 China Department of Computer Science and Technology Hefei Normal University Hefei 230601 China

In this paper, group velocity dispersion (GVD) and second-order GVD effects are shortly discussed and then the limitations on the bit rate induced by dispersion or second-order GVD are estimated. For relative higher pulse energy and shorter pulse width in 40Gbit/s systems, self-phase modulation(SPM) is significant. The combined effect of GVD and SPM on the propagation pulses are analyzed through Nonlinear Schrödinger Equation(NLSE).

关键词： GVD nonlinear pulse propagation SPM

来源：评论

学校读者我要写书评

暂无评论

Feature extraction for cancer prediction by tensor decomposition of 1D protein expression levels

Feature extraction for cancer prediction by tensor decomposi...

引用

2nd International Conference on Computational Bioscience, CompBio 2011

作者： Kopriva, Ivica Jukić, Ante Cichocki, Andrzej Division of Laser and Atomic Research and Development Rudler Bošković Institute Bijenička cesta 54 10002 Zagreb Croatia Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN 2-1Hirosawa Wako-shi Saitama 351-0198 Japan Warsaw University of Technology Systems Research Institute PAN Poland

ISBN: (纸本)9780889868892

Tensor decomposition approach to feature extraction from one-dimensional data samples is presented. One-dimensional data samples are transformed into matrices of appropriate dimensions that are further concatenated into a third order tensor. This tensor is factorized according to the Tucker-2 model by means of the higher-order-orthogonal iteration (HOOI) algorithm. Derived method is validated on publicly available and well known datasets comprised of low-resolution mass spectra of cancerous and non-cancerous samples related to ovarian and prostate cancers. The method respectively achieved, in 200 independent two-fold cross-validations, average sensitivity of 96.8% (sd 2.9%) and 99.6% (sd 1.2%) and average specificity of 95.4% (sd 3.5%) and 98.7% (sd 2.9%). Due to the widespread significance of mass spectrometry for monitoring protein expression levels and cancer prediction it is conjectured that presented feature extraction scheme can be of practical importance.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

A novel description of the reproducing kernel support vector machines

A novel description of the reproducing kernel support vector...

引用

IEEE International Conference on Computer science and Automation Engineering (CSAE)

作者： Li-xiang Xu Bin Luo Feng-hai Yu Jin Xie Department of Mathematics & Physics Hefei University Hefei China Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Anhui China

Support vector machines (SVMs) and related kernel-based algorithms have become one of the most popular approaches for many machine learning problems. but little is known about the structure of their reproducing kernel Hilbert spaces (RKHS). In this work, based on Mercer's Theorem, the relation among reproducing kernel (RK) and Mercer kernel, and their roles in SVMs are discussed, corresponding to some important theorems and consequences are given. Furthermore, a novel framework of reproducing kernel support vector machines (RKSVM) is proposed. The simulation results are presented to illustrate the feasibility of the proposed method. Choosing a proper Mercer kernel for different tasks is an important factor for studying the result of the SVMs.

关键词： Kernel Support vector machines Hilbert space Equations Mathematical model Resonant frequency Simulation

来源：评论

学校读者我要写书评

暂无评论

Fusion of multispectral palmprint images for automatic person identification

Fusion of multispectral palmprint images for automatic perso...

引用

Electronics, Communications and Photonics Conference (SIECPC), Saudi International

作者： Abdallah Meraoumia Salim Chitroub Ahmed Bouridane Signal and Image Processing Laboratory Electronics and Computer Science Faculty Telecommunication Department University of Science and Technology of Houari Boumedienne Algiers Algeria School of Computing Engineering and Information Sciences Northumbria University Newcastle-upon-Tyne UK

Reliability and accuracy in personal identification system is a dominant concern to the security world. Biometric has gained much attention in this subject recently. Many types of personal identification systems have been developed, and palmprint identification is one of the emerging technologies. This paper presents a novel biometric technique to automatic personal identification system using multispectral palmprint technology. In this method, each of spectrum images are aligned and then used to extract palmprint features using 1D log-Gabor filter. These features are then examined for their individual and combined performances. Finally, the hamming distance is used for matching of palmprint features. The experimental results showed that the proposed method achieve an excellent identification rate and provide more security.

关键词： Feature extraction Databases Image fusion Discrete wavelet transforms Security Accuracy Hamming distance

来源：评论

学校读者我要写书评

暂无评论

Speaker segmentation and clustering based on the improved spectral clustering

Speaker segmentation and clustering based on the improved sp...

引用

IEEE Workshop on Machine Learning for signal processing

作者： Yong Ma Chang-chun Bao Jia Liu Speech and Audio Signal Processing Lab School of Electronic Information and Control Engineering Beijing University of Technology Beijing China Tsinghua National Laboratory for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing China

Efficient speaker segmentation and clustering method based on the improved spectral clustering is proposed in this paper. Traditional speaker segmentation and clustering is performed by the hierarchical clustering algorithms with Bayesian information criterion (BIC) metric and cross likelihood ratio (CLR) metric after the speakers are segmented. Since this method has high computational complexity and may result in a suboptimal solution, we use spectral clustering to overcome this problem and improve the performance of clustering algorithm. First the affinity matrix is constructed with the mean supervector feature transformed by KL kernel mapping. And then the scaling parameter is selected adaptively. The experiments performed on the NIST 1998 multi-speaker corpus show that the proposed method outperforms the baseline system.

关键词： Speech Measurement Clustering methods Kernel Viterbi algorithm Clustering algorithms NIST

来源：评论

学校读者我要写书评

暂无评论

Propagation Pattern Analysis During Atrial Fibrillation Based on the Adaptive Group LASSO

Propagation Pattern Analysis During Atrial Fibrillation Base...

引用

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

作者： Ulrike Richter Luca Faes Flavia Ravelli Leif Sornmo Department of Experimental Medical Science Lund University Biophysics and Biosignals Laboratory BioTech University of Trento Signal Processing Group Department of Electrical and Information Technology and the Center of Integrative Electrocardiology (CIEL) Lund University

ISBN: (纸本)9781424441211

The present study introduces sparse modeling for the estimation of propagation patterns in intracardiac atrial fibrillation (AF) signals. The estimation is based on the partial directed coherence (PDC) function, derived from fitting a multivariate autoregressive model to the observed signals. A sparse optimization method is proposed for estimation of the model parameters, namely, the adaptive group least absolute selection and shrinkage operator (aLASSO). In simulations aLASSO was found superior to the commonly used least-squares (LS) estimation with respect to estimation performance. The normalized error between the true and estimated model parameters dropped from 0.20±0.04 for LS estimation to 0.03±0.01 for aLASSO when the number of available data samples exceeded the number of model parameters by a factor of 5. The error reduction was more pronounced for short data segments. Propagation patterns were also studied on intracardiac AF data, the results showing that the identification of propagation patterns is substantially simplified by the sparsity assumption.

关键词： model parameters Atrial Fibrillation atrial fibrillation alachlor Pattern analysis optimization method Self tuning

来源：评论

学校读者我要写书评

暂无评论

Harmonic signals extraction by multi-resolution BSS

引用

Journal of Computational Information Systems 2011年第2期7卷 585-592页

作者： Liu, Keying Wang, Cunsheng Wang, Fasong Department of Mathematics North China University of Water Resources and Electric Power Zhengzhou 450011 China North Automatic Control Technology Institute Taiyuan 030006 China China Electronics Technology Group Corporation The 27th Research Institute Zhengzhou 450047 China National Key Laboratory for Radar Signal Processing Xidian University Xi'an 710071 China

Using the sparsity property in the frequency domain of harmonic signals, this paper gives a harmonic signal extraction algorithm based on multi-resolution blind source separation(BSS) method. After the general and detailed definition of the multi-resolution BSS model is given, the wavelet packet decomposition based multi-resolution BSS algorithm for harmonic signal extraction is constructed in detail. Some simulations of the proposed algorithm are exhibited in the simulation part to demonstrate the validity of the method. At last, we discuss the impact of multiresolution BSS research and outline potential future research directions and applications. Copyright © 2011 Binary Information Press.

关键词： Blind source separation

来源：评论

学校读者我要写书评

暂无评论

Target location with signal fitting and sub-aperture tracking for airborne multi-channel radar

引用

Journal of Systems Engineering and Electronics 2010年第5期21卷 752-758页

作者： Zhiwei Yang Guisheng Liao Shun He Cao Zeng National Laboratory of Radar Signal Processing Xidian University Xi'an 710071 E R. China Communication and Information Engineering College Xi'an University of Science and Technology Xi'an 710054 E R. China

The location of a moving target based on signal fitting and sub-aperture tracking from an airborne multi-channel radar is dealt *** proposed approach is applied in two steps：first,the ambiguous slant-range velocity is derived with a modified single-snapshot multiple direction of arrival estimation method,and second,the unambiguous slant-range velocity is found using a track-based *** prominent advantage of the proposed approach is that the unambiguous slant-range velocity can be very ***,the first stage is carried out at the determinate range-Doppler test cell by azimuth searching for fitting best to the moving target signal,therefore,the location performance would not be sacrificed in order to suppress clutter and/or *** effectiveness and efficiency of the proposed method are validated with a set of airborne experimental data.

关键词： space-time adaptive processing（STAP） along track interferometry（ATI） ground moving target indication（GMTI）.

来源：评论

学校读者我要写书评

暂无评论

Dependent source signals separation using Cook's nonGaussianity measure

引用

ICIC Express Letters 2011年第3期5卷 847-852页

作者： Liu, Keying Li, Rui Wang, Fasong Department of Mathematics North China University of Water Resources and Electric Power No. 36 Beihuan Road Zhengzhou 450011 China School of Sciences Henan University of Technology Lianhua Street Zhengzhou 450001 China China Electronics Technology Group Corporation 27th Research Institute Zhengzhou China National Key Laboratory for Radar Signal Processing Xidian University Xi'an China

In this paper, we show that maximization of the nonGaussianity (NG) measure can separate the statistically dependent source signals and the novel NG measure is given by the Cook's Euclidean distance. Then, a novel blind source separation (BSS) algorithm for linear mixed signals is proposed using the Cook's NG measure, which enables to separate statistical dependent source signals. Moreover, the proposed separation algorithm can result in the famous Fast Independent Component Analysis algorithm. Simulation results show that the proposed separation algorithm is able to separate the dependent signals and yield ideal performance. © 2011 ISSN 1881-803X.

关键词： Independent component analysis

来源：评论

学校读者我要写书评

暂无评论

Harmonic extraction by efficient BSE method

引用

ICIC Express Letters 2011年第4 B期5卷 1429-1434页

作者： Liu, Keying Li, Rui Wang, Fasong Department of Mathematics North China University of Water Resources and Electric Power No. 36 Beihuan Rd. Zhengzhou 450011 China School of Sciences Henan University of Technology No. 140 South Songshan Rd. Zhengzhou 450052 China 27th Research Institute China Electronics Technology Group Corporation No. 126 Jingguang Middle Rd. Zhengzhou 450015 China National Key Laboratory for Radar Signal Processing Xidian University No. 2 Taibai Rd. Xi'an 710071 China

In this paper, novel Blind Source Extraction (BSE) algorithm from linear mixtures of harmonic signals is established. First, the fundamental principle of BSE based harmonics extraction method is analyzed in detail. Then, we propose a BSE approach to harmonic extraction using the concept of period BSE method based on the harmonic BSE model, as a result, the extraction algorithm is derived. Simulation results show that the proposed extraction algorithm is able to extract the harmonic source signals. ICIC International © 2011.

关键词： Blind source separation

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：