检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

988 篇 会议
5 篇 期刊文献

馆藏范围

993 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

416 篇 工学
- 313 篇 电气工程
- 213 篇 信息与通信工程
- 109 篇 计算机科学与技术...
- 57 篇 测绘科学与技术
- 56 篇 机械工程
- 29 篇 软件工程
- 12 篇 电子科学与技术（可...
- 10 篇 仪器科学与技术
- 9 篇 控制科学与工程
- 2 篇 力学（可授工学、理...
- 2 篇 光学工程
- 2 篇 交通运输工程
- 2 篇 航空宇航科学与技...
- 1 篇 动力工程及工程热...
- 1 篇 建筑学
- 1 篇 土木工程
- 1 篇 化学工程与技术
- 1 篇 石油与天然气工程
- 1 篇 生物医学工程（可授...
- 1 篇 安全科学与工程
49 篇 理学
- 35 篇 数学
- 19 篇 统计学（可授理学、...
- 13 篇 物理学
- 6 篇 系统科学
- 2 篇 地球物理学
- 1 篇 化学
34 篇 医学
- 34 篇 临床医学
2 篇 教育学
- 2 篇 教育学
1 篇 军事学

主题

391 篇 array signal pro...
244 篇 sensor arrays
110 篇 signal processin...
96 篇 estimation
92 篇 signal to noise ...
84 篇 direction-of-arr...
82 篇 conferences
78 篇 signal processin...
76 篇 direction of arr...
73 篇 covariance matri...
66 篇 interference
64 篇 antenna arrays
64 篇 arrays
52 篇 wireless sensor ...
46 篇 vectors
43 篇 robustness
40 篇 adaptive arrays
39 篇 maximum likeliho...
36 篇 covariance matri...
33 篇 sensors

机构

11 篇 department of el...
10 篇 temple univ dept...
6 篇 xidian univ natl...
6 篇 mit lincoln labo...
5 篇 department of el...
5 篇 communications r...
5 篇 communication sy...
4 篇 univ alabama dep...
4 篇 lincoln laborato...
4 篇 school of inform...
4 篇 university of el...
4 篇 school of electr...
4 篇 tech univ darmst...
4 篇 mit lincoln lab ...
4 篇 city univ hong k...
4 篇 center for advan...
4 篇 department of sy...
3 篇 department of el...
3 篇 natl univ def te...
3 篇 villanova univ c...

作者

12 篇 yimin d. zhang
11 篇 wei liu
11 篇 zhang yimin d.
11 篇 a.b. gershman
10 篇 marius pesavento
7 篇 bin liao
7 篇 liu wei
5 篇 walter kellerman...
5 篇 pesavento marius
5 篇 j.h. mcclellan
5 篇 zhi-quan luo
5 篇 leus geert
5 篇 geert leus
5 篇 lei huang
5 篇 ciuonzo domenico
5 篇 guisheng liao
4 篇 nehorai arye
4 篇 chun-lin liu
4 篇 willett peter
4 篇 wee peng tay

语言

993 篇 英文

检索条件"任意字段=IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002"

共 993 条记录，以下是831-840 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

A calibrated subband beamforming algorithm for speech enhancement

A calibrated subband beamforming algorithm for speech enhanc...

引用

sensor array and multichannel signal processing workshop

作者： Z. Yermeche P.M. Garcia N. Grbic I. Claesson Department of Telecommunications and Signal Processing Blekinge Institute of Technology Ronneby Sweden

The paper proposes a new calibrated adaptive frequency domain beamformer for speech enhancement. The beamformer is based on the principle of a soft constraint formed from calibration data, rather than precalculated from free-field assumptions. The benefit is that the real room acoustical properties are taken into account. The proposed algorithm continuously estimates the spatial information for each frequency band, based on weighting of the received data. The update of the beamforming weights is done recursively where the initial precalculated correlation estimates of the speech constitute a soft constraint. The soft constraint secures the spatial-temporal passage of the desired source signal, without the need of any speech detection. The performance is evaluated in real world scenarios, in both car and restaurant environments. Interference and noise suppression of more than 15 dB is accomplished, while very small distortion is measured for the source signal.

关键词： array signal processing Speech enhancement Frequency estimation Interference constraints Distortion measurement Frequency domain analysis Calibration Recursive estimation Interference suppression Working environment noise

来源：评论

学校读者我要写书评

暂无评论

A MLE approach to joint array detection and direction of arrival estimation

A MLE approach to joint array detection and direction of arr...

引用

sensor array and multichannel signal processing workshop

作者： R.E. Bethel K.L. Bell MITRE Corporation Reston VA USA George Mason University Fairfax VA USA

The problem of detecting the number of narrowband sources of energy and the direction of arrival (DOA) of each detected source using data received by an array of sensors is investigated. The well known difficulty of an unconstrained maximum likelihood (ML) approach for estimation of dimensionality parameters (e.g., model order) is addressed by using ML signal-to-noise ratio estimates of hypothesized sources as detection statistics rather than using the likelihood function (LF) with a penalty function. Performance comparisons are made to unstructured and structured techniques based on Akaike information theoretic criteria (AIC), minimum description length (MDL), and Bayesian predictive density (BPD) methods as well as minimum variance distortionless response (MVDR). The technique presented here offers better detection performance for multiple closely spaced uncorrelated signals, with the ability to trade off detection and false alarm performance.

关键词： Maximum likelihood estimation Direction of arrival estimation sensor arrays Radar detection Narrowband Maximum likelihood detection signal to noise ratio Statistics Bayesian methods Sonar detection

来源：评论

学校读者我要写书评

暂无评论

Direction finding of wideband sources in sparse arrays

Direction finding of wideband sources in sparse arrays

引用

sensor array and multichannel signal processing workshop

作者： Hyoung-Chang Song Byung-woo Yoon Control and Instrument Engineering Myongji University South Korea Department of Electrical and Computer Engineering Kyungsung University busan South Korea

ISBN: (纸本)0780375513

We consider the problem of detecting and tracking moving sources emitting wideband signals under the severe spatial aliasing condition in sparse passive arrays. We develop direction of arrival(DOA) estimation algorithm based on subband MUSIC(MUltiple signal Classification) method which produces high-resolution estimation and the fact that true bearings are invariant regardless of a change of frequency bands while the aliased false bearings vary. Despite its simplicity, the proposed algorithm overcomes the aliasing effects and improves the localization performance in sparse passive arrays. Simulation results for multiple target tracking are presented and the robustness algorithm with respect to measurement noise is also demonstrated.

关键词： Wideband Frequency estimation Direction of arrival estimation Multiple signal classification Gaussian noise sensor arrays Narrowband Instruments Change detection algorithms Pattern classification

来源：评论

学校读者我要写书评

暂无评论

A signal model adapted ESPRIT algorithm for joint estimation of spatial and temporal parameters in vibrational analysis of cylinders

A signal model adapted ESPRIT algorithm for joint estimation...

引用

sensor array and multichannel signal processing workshop

作者： J. Axmon M. Hansson L. Sornmo Signal Processing Group Department of Electroscience Lund University Lund Sweden

This paper deals with the joint estimation of spatial mode shapes and temporal frequencies from transient vibrations measured by a uniform circular array of sensors encircling a cross-section of a cylinder. The geometry allows each 2D mode to be interpreted as two real planar waves impinging from mirrored directions with respect to the broadside of a uniform linear array. Algorithms for joint estimation tend, in the presence of noise, to produce signal roots that express planar waves impinging from only approximately mirrored directions. A recently published 2-D ESPRIT algorithm is modified to take advantage of the geometry, and to force the estimated planar waves to impinge from exactly mirrored directions. This reduces the estimation errors; the main advantage is more easily interpreted results. Memory requirements and complexity are significantly lower for the modified algorithm, since the decomposition of a large data matrix may be broken down into several small ones.

关键词： signal analysis Algorithm design and analysis sensor arrays Frequency estimation Shape measurement Vibration measurement Geometry Frequency measurement Estimation error Matrix decomposition

来源：评论

学校读者我要写书评

暂无评论

Channel equalization in the presence of strong interference sources

Channel equalization in the presence of strong interference ...

引用

sensor array and multichannel signal processing workshop

作者： J. Tabrikian A. Nehorai Department of Electrical and Computer Engineering Ben-Gurion University of the Negev Beersheba Israel Department of Electrical and Computer Engineering University of Illinois Chicago IL USA

Space-time channel estimation is essential for communication systems which separate sources in the space domain in addition to time/frequency/code domains. We first develop a maximum likelihood (ML) estimator for the spatial channel transfer function in the presence of strong interference sources, for 3 different channel scenarios: no multipath, locally scattered multipath, and general multipath case. As expected, the ML estimator which assumes a planar wavefield for the signal provides superior performance over the ML solution for the general multipath case. In order to maintain robustness in the scenario, an algorithm for scenario/model determination is developed, and its performance is evaluated via simulations.

关键词： Interference Maximum likelihood estimation Scattering Channel estimation Robustness sensor arrays Additive noise Phased arrays Frequency estimation Maintenance engineering

来源：评论

学校读者我要写书评

暂无评论

Superresolution source localization through data-adaptive regularization

Superresolution source localization through data-adaptive re...

引用

sensor array and multichannel signal processing workshop

作者： D.M. Malioutov M. Cetin J.W.I.I.I. Fisher A.S. Willsky Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA USA

We address the task of source localization using a novel non-parametric data-adaptive approach based on regularized linear inverse problems with sparsity constraints. The class of penalty functions that we use for regularization favors sparsity of the reconstructions, thus producing superb resolution of the sources. We present a computationally efficient technique to carry out the numerical optimization of the resulting cost function. In comparison to conventional source localization methods, the proposed approach provides numerous improvements, including increased resolution, reduced sidelobes, and better robustness properties to noise, limited snapshots, and coherence of the sources. The method is developed for the general source localization scenario, encompassing nearfield and farfield, narrowband and broadband, and non-linear array geometry cases. Simulation results manifest the capabilities of the approach.

关键词： sensor arrays signal resolution Energy resolution Position measurement Noise robustness Narrowband Multiple signal classification Frequency Laboratories Radar imaging

来源：评论

学校读者我要写书评

暂无评论

Robust adaptive beamforming for passive sonar using eigenvector/beam association and excision

Robust adaptive beamforming for passive sonar using eigenvec...

引用

sensor array and multichannel signal processing workshop

作者： S.M. Kogon Lincoln Laboratory MIT Lexington MA USA

A new eigenvector-based robust adaptive beamforming (ABF) algorithm is presented for use with passive sonar arrays. Robustness refers to protection against self-nulling in the presence of signal mismatch. The algorithm is based on an eigenvector decomposition, similar to ABF algorithms such as dominant mode rejection (DMR) and principal components inverse (PCI). For robustness, the proposed method removes the eigenvector from the ABF weight computation deemed as the contributor to self-nulling. This approach is in contrast to eigenvector-based ABF with a white noise gain constraint which instead changes the weighting of all eigenvectors. By identifying and removing the offending eigenvector, robustness to self-nulling can be restored. The proposed eigenvector/beam association and excision (EBAE) algorithm, associates each eigenvector with a beam or angle and removes it from that beam only. The EBAE eigenvector-based ABF is compared to other robust ABF algorithms in both simulation and experimental data where it is shown to provide improved performance both in terms of interference rejection and signal separation.

关键词： array signal processing Interference Acoustic beams Protection Sonar measurements sensor arrays Noise robustness White noise Frequency domain analysis Sonar detection

来源：评论

学校读者我要写书评

暂无评论

Robust adaptive beamforming for general-rank signal models using worst-case performance optimization

Robust adaptive beamforming for general-rank signal models u...

引用

sensor array and multichannel signal processing workshop

作者： S. Shahbazpanahi A.B. Gershman Zhi-Quan Luo Kon Max Wong Communications Research Laboratory Department of Electrical and Computer Engineering McMaster University Hamilton ONT Canada

The performance of adaptive beamforming methods is known to degrade in the presence of even small mismatches between the actual and presumed array responses to the desired signal. We propose a new powerful approach to robust adaptive beamforming in the presence of unknown arbitrary-type mismatches of the desired signal array response. Our approach is developed for the most general case of an arbitrary dimension of the desired signal subspace and is applicable to both rank-one and higher-rank desired signal models. The proposed beamformer is based on an explicit modeling of uncertainties in the desired signal array response and data covariance matrix as well as worst-case performance optimization. A simple closed-form solution to this robust adaptive beamforming problem is obtained. This solution naturally combines two different types of diagonal loading which are applied to the sample and presumed signal covariance matrices. Our new robust beamformer has a computational complexity comparable to that of the traditional adaptive beamforming algorithms while it offers a greatly improved robustness and faster convergence rate as compared to existing robust beamformers.

关键词： Robustness array signal processing Optimization Uncertainty Adaptive arrays Covariance matrix Degradation Closed-form solution Microphone arrays Training data

来源：评论

学校读者我要写书评

暂无评论

A robust bearing estimator based on Jacobi-Anger expansion for large angular spread source

A robust bearing estimator based on Jacobi-Anger expansion f...

引用

sensor array and multichannel signal processing workshop

作者： S.J. Liu Q. Wan Y.N. Peng Department of Electronic Engineering Tsinghua University Beijing China

In the estimation of the bearing of an angularly spread source, the Taylor-expansion is commonly used, which may lead to a distinct model approximation error, especially for the large spread case. In order to overcome this problem as much as possible, we employ the JA-expansion model. On one hand, the model accuracy mainly depends on the order of the JA expansion but has no direct relation with angular spread; on the other hand, as the coefficients of the JA expansion for array response are just the harmonics of the incident angle, and hence of the array, a covariance matrix can be computed exactly by the Fourier transform of the angular power density. For a symmetric angular spread, utilizing the structural knowledge of the array covariance matrix and the decoupling property of the JA-expansion model, a nonlinear least squares estimator is proposed. Numerical results demonstrate its robustness for large angular spread and extension of the array size. Its asymptotic performance is also examined for the large sample case.

关键词： Robustness Jacobian matrices Covariance matrix Direction of arrival estimation Approximation error Radar scattering Taylor series Power system harmonics array signal processing Radar applications

来源：评论

学校读者我要写书评

暂无评论

Experimental study of the EM and SAGE algorithms with application to sonar data

Experimental study of the EM and SAGE algorithms with applic...

引用

sensor array and multichannel signal processing workshop

作者： Pei Jung Chung J.F. Bohme Department of Electrical and Computer Engineering Carnegie Mellon University USA Department of Electrical Engineering and Information Sciences Ruhr Universität Bochum Germany

We study the expectation maximization (EM) and space alternating generalized EM (SAGE) algorithms by processing real data measured by a towed hydrophone array. The EM and SAGE algorithms are well known numerical methods for locating modes of likelihood functions. The complicated multi-dimensional search for finding ML DOA estimates can be simplified to one dimensional search by EM and SAGE. Computational efficiency can be further improved by the fast EM and SAGE algorithms which use smaller search spaces than those used by EM and SAGE. Experimental results show that the SAGE algorithm converges faster than the EM algorithm in most cases. Without losing estimation accuracy, the fast EM and SAGE algorithms lead to a significant reduction in computational time.

关键词： Sonar applications Convergence Computational efficiency sensor arrays Sonar measurements Geophysical measurements Direction of arrival estimation Geophysics computing Frequency Covariance matrix

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共100页 << < 80 81 82 83 84 85 86 87 88 89 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：