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

951 篇 会议
12 篇 期刊文献

馆藏范围

963 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

427 篇 工学
- 318 篇 电气工程
- 213 篇 信息与通信工程
- 109 篇 计算机科学与技术...
- 58 篇 测绘科学与技术
- 56 篇 机械工程
- 30 篇 软件工程
- 17 篇 仪器科学与技术
- 12 篇 电子科学与技术（可...
- 9 篇 控制科学与工程
- 2 篇 力学（可授工学、理...
- 2 篇 交通运输工程
- 2 篇 航空宇航科学与技...
- 1 篇 光学工程
- 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...
59 篇 理学
- 36 篇 数学
- 20 篇 统计学（可授理学、...
- 14 篇 物理学
- 13 篇 系统科学
- 2 篇 地球物理学
- 1 篇 化学
32 篇 医学
- 32 篇 临床医学
2 篇 教育学
- 2 篇 教育学
1 篇 军事学

主题

370 篇 array signal pro...
233 篇 sensor arrays
107 篇 signal processin...
96 篇 estimation
87 篇 signal to noise ...
84 篇 direction-of-arr...
83 篇 conferences
71 篇 signal processin...
69 篇 direction of arr...
69 篇 covariance matri...
64 篇 arrays
64 篇 interference
63 篇 antenna arrays
50 篇 wireless sensor ...
48 篇 vectors
41 篇 maximum likeliho...
37 篇 robustness
36 篇 covariance matri...
34 篇 adaptive arrays
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 communication sy...
4 篇 univ alabama dep...
4 篇 school of inform...
4 篇 university of el...
4 篇 army research la...
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 natl univ def te...
3 篇 department of ec...
3 篇 villanova univ c...
3 篇 ieee
3 篇 intelligent sens...

作者

12 篇 yimin d. zhang
11 篇 zhang yimin d.
10 篇 wei liu
10 篇 marius pesavento
10 篇 a.b. gershman
7 篇 bin liao
7 篇 pesavento marius
7 篇 liu wei
5 篇 walter kellerman...
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 amin moeness g.
4 篇 willett peter
4 篇 wee peng tay
4 篇 ahmed ammar

语言

963 篇 英文

检索条件"任意字段=IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2000"

共 963 条记录，以下是231-240 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：

Compressive Sensing based Direction-of-Arrival Estimation in MIMO Radars in Presence of Strong Jamming via Blocking Matrix 10

Compressive Sensing based Direction-of-Arrival Estimation in...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Liu, Beiyi Gui, Guan Matsushita, Shin-ya Xu, Li Akita Prefectural Univ Dept Elect & Informat Syst Akita 0150055 Japan Nanjing Univ Posts & Telecommun Coll Telecommun & Informat Engn Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781538647523

The performances of the traditional anti-jamming DOA methods for the colocated MIMO radar system will be seriously deteriorated when the number of the snapshots is small. In this paper, a compressive sensing (CS)-based anti-jamming DOA estimation with only a few snapshots is proposed. In the new DOA estimation, the information on the direction of strong jamming is used to construct a blocking matrix that can block the jamming component effectively. Hence, only the desired signal component is left after preprocessing with the blocking matrix. Then, the DOA estimation problem with a blocking matrix is formulated as a sparse recovery problem, and it is solved by the orthogonal matching pursuit (OMP) algorithm. We compare the proposed method with the traditional CS-based method and the traditional anti-jamming DOA methods. Numerical results demonstrate that the proposed method outperforms the traditional methods.

关键词： Jamming Direction-of-arrival estimation Estimation MIMO radar Sparse matrices sensor arrays Matching pursuit algorithms"

来源：评论

学校读者我要写书评

暂无评论

RATE-DISTRIBUTED BINAURAL LCMV BEAMFORMING FOR ASSISTIVE HEARING IN WIRELESS ACOUSTIC sensor NETWORKS 10

RATE-DISTRIBUTED BINAURAL LCMV BEAMFORMING FOR ASSISTIVE HEA...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Zhang, Jie Heusdens, Richard Hendriks, Richard C. Delft Univ Technol Circuits & Syst CAS Grp Delft Netherlands

ISBN: (纸本)9781538647523

In this paper, we propose a rate-distributed linearly constrained minimum variance (LCMV) beamformer for joint noise reduction and spatial cue preservation for assistive hearing in wireless acoustic sensor networks (WASNs). The WASN can consist of wireless communicating hearing aids, extended with additional wireless microphones. Due to the fact that each sensor node has a limited power budget, it is essential to consider the energy usage when designing algorithms for such WASNs. As the energy usage in terms of data transmission is directly affected by the communication rate, the proposed method optimally distributes the bit rate for each microphone node. The rate distribution is obtained by minimizing the total transmission costs under constraints on the noise reduction performance and spatial cue preservation of interfering sources. In contrast to sensor selection, i.e., binary decisions on the usefulness of a node, rate distribution allows for soft decisions, and, will lead to more degrees of freedom for joint noise reduction and spatial cue preservation than sensor selection. Numerical results show that given a certain noise reduction requirement, the proposed method displays improved energy efficiency and can preserve the spatial cues of more interferers compared to sensor selection approaches.

关键词： Rate allocation sensor selection LCMV noise reduction energy usage binaural cue preservation hearing aids

来源：评论

学校读者我要写书评

暂无评论

A Method to Suppress the Main-beam Deceptive Jamming in FDA-MIMO Radar with Random Polyphase Codes 10

A Method to Suppress the Main-beam Deceptive Jamming in FDA-...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Lan, Lan Liao, Guisheng Xu, Jingwei Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China

ISBN: (纸本)9781538647523

The main-beam deceptive jamming reduces the estimation precision and tracking accuracy of the target, which brings huge resources consume and severe challenges along with threats. Besides, it is impossible to obtain perfectly orthogonal waveforms for all Doppler and delay pairs in the multiple-input and multiple-output (MIMO) radar. In this paper, based on the frequency diverse array (FDA)-MIMO radar with random polyphase codes, we have addressed the problem of the main-beam range deceptive jamming suppression with two steps. Firstly, the true and false targets are distinguished in the joint transmit-receive spatial frequency domain according to the time delay difference in the false target generation. Subsequently, due to the range mismatch, the main-beam deceptive jamming can be suppressed through a range-angle adaptive matched filter. Simulation results are provided to demonstrate the effectiveness of the proposed approach.

关键词： Main-beam deceptive jamming orthogonal waveforms frequency diverse array radar joint range-receive spatial frequency domain range-angle adaptive matched filter

来源：评论

学校读者我要写书评

暂无评论

Quasi-Periodic Non-negative Matrix Factorization for Phonocardiographic signals denoising 10

Quasi-Periodic Non-negative Matrix Factorization for Phonoca...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Dia, Nafissa Fontecave-Jallon, Julie Gumery, Pierre-Yves Rivet, Bertrand Univ Grenoble Alpes CNRS CHU Grenoble Alpes Grenoble INPTIMC IMAG F-38000 Grenoble France Univ Grenoble Alpes CNRS Grenoble INP GIPSA Lab F-38000 Grenoble France Univ Grenoble Alpes Inst Engn Grenoble France

ISBN: (纸本)9781538647523

Mechanical cardiac activity may be monitored with phonocardiographic (PCG) signals giving access to cardiac sounds. However, many noises interfere with cardiac information in raw signals and denoising such signals is necessary before interpretation. Non-negative Matrix Factorization (NMF) is of interest for time-frequency representations to separate noise and signal components. In this paper, to exploit the quasi-periodicity of the PCG, a quasi-periodic NMF (QP-NMF), based on multiplicative updates derived from a Majoration-Minimization algorithm, is proposed to decompose the PCG spectrograms. Numerical simulations show the good behavior of the proposed method to separate quasi-periodic components from the others. Finally, applied on real noisy PCG signals, QP-NMF shows its interest compared to an unsupervised NMF to denoise PCG signals.

关键词： Phonocardiography signal processing algorithms Interference Estimation Electrocardiography array signal processing sensor arrays"

来源：评论

学校读者我要写书评

暂无评论

Compressive Measurements Exploiting Coprime Frequencies for Direction Finding 10

Compressive Measurements Exploiting Coprime Frequencies for ...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Guo, Muran Zhang, Yimin D. Chen, Tao Harbin Engn Univ Coll Informat & Commun Engn Harbin Heilongjiang Peoples R China Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)9781538647523

Sparse arrays are considered as an effective solution to reduce the system complexity for direction-of-arrival (DOA) estimation as they can resolve more sources than the number of sensors. Inspired by such techniques, the coprime frequency-based array structure was recently proposed to further reduce the number of required sensors. Multiple sensing signals with mutually coprime carrier frequencies are transmitted, and the reflected signals are used to estimate the target DOAs. The cross-correlation obtained from each pair of frequencies provides additional degrees of freedom (DOFs). On the other hand, a compression matrix can be designed to reduce the dimension of the received signal vector, thereby effectively reducing the number of front-end circuit chains. In this paper, we use the compressive measurements of the received signal vector obtained from a coprime frequency-based array structure to estimate the signal DOAs. The proposed scheme can obtain an increased number of DOFs and high estimation accuracy because of the coarray operation and the large array aperture of the coprime frequency-based array structure. Meanwhile, the system complexity is also significantly reduced. The effectiveness of the proposed scheme is validated using simulation results.

关键词： Compressive sensing coprime array coprime frequency DOA estimation group sparsity

来源：评论

学校读者我要写书评

暂无评论

Subspace-Based Localization of Near-Field signals in Unknown Nonuniform Noise 10

Subspace-Based Localization of Near-Field Signals in Unknown...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Zuo, Weiliang Xin, Jingmin Zheng, Nanning Sano, Akira Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China Xi An Jiao Tong Univ Natl Engn Lab Visual Informat Proc & Applicat Xian 710049 Peoples R China Keio Univ Dept Syst Design Engn Yokohama Kanagawa 2238522 Japan

ISBN: (纸本)9781538647523

In this paper, we consider the problem of estimating the directions-of-arrival (DOAs) and ranges of multiple near-field narrowband signals impinging on a symmetric uniform linear array (ULA) in nonuniform noise in practical applications. By forming a Toeplitz-like correlation matrix from the anti-diagonal elements of the array covariance matrix to convert the nonuniform noise to a uniform one, a new subspace-based localization method is proposed, where the null space is obtained through eigendecomposition of the resultant Toeplitz-like matrix, and the MUSIC method is used to estimate the location parameters, while a new pairing scheme is presented as well. Additionally, an oblique projector based alternating iteration is presented to improve the estimation accuracy of the location parameters, where the "saturation behavior" encountered in most of localization methods is solved effectively. Furthermore, the Cramer-Rao lower bound (CRB) for the near-field signals in unknown nonuniform noise is also derived explicitly. Finally, the effectiveness of the proposed method is verified through numerical examples.

关键词： Near-field nonuniform noise oblique projector source localization statistical analysis uniform linear array

来源：评论

学校读者我要写书评

暂无评论

SVM-based Tool to Detect Patients with Multiple Sclerosis Using a Commercial EMG sensor 10

SVM-based Tool to Detect Patients with Multiple Sclerosis Us...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Akhmadeev, Konstantin Houssein, Aya Moussaoui, Said Hogestol, Einar A. Tutturen, Ingerid Harbo, Hanne F. Bos-Haugen, Steffan D. Graves, Jennifer Laplaud, David-Axel Gourraud, Pierre-Antoine Univ Nantes UMR 6004 LS2N Nantes France Ecole Cent Nantes UMR 6004 LS2N Nantes France Univ Oslo Inst Clin Med Dept Neurol Oslo Norway Oslo Univ Hosp Dept Neurol Oslo Norway Univ Calif San Francisco Sch Med Dept Neurol San Francisco CA USA Univ Nantes INSERM Ctr Rech Transplantat & Immunol UMR 1064 Nantes France

ISBN: (纸本)9781538647523

Multiple sclerosis (MS) is a major auto-immune disease that is the leading cause of non-traumatic impairment of the central nervous system (CNS) in young adults. Successful treatment of MS patients depends on accurate tools for both the MS diagnosis and the disability progression. In current and upcoming studies the authors aim to explore the capabilities of applying a commercial electromyographic and inertial sensor (MYO Armband by Thalmic Labs Inc.), coupled with a multichannel signal processing tool, to standard neurological examination of MS progression. In this pilot study we formulate a two-class "healthy control" - "having MS" classification problem. A dataset of electromyographic signals and inertial sensor measurements from 71 individuals (31 MS patients and 40 healthy controls) was acquired during standard neurological examination routine. Temporal and spectral features of the signals were extracted in order to train and validate a classification model. Finally, a Support Vector Machine classifier was obtained giving AUROC = 0.94, 95% CI = [0.88, 0.99]. We propose a set of signal descriptors that correlate with objective components of the neurological examination. The proposed signal acquisition and processing technique, being easy to integrate into the traditional neurological exam, may have high potential for aiding in quantifying MS progression.

关键词： Electromyography Feature extraction Protocols signal processing Support vector machines Multiple sclerosis Foot"

来源：评论

学校读者我要写书评

暂无评论

Consistent Least Squares Estimator for Co-array-Based DOA Estimation 10

Consistent Least Squares Estimator for Co-Array-Based DOA Es...

引用

10th ieee sensor array and multichannel signal processing workshop, SAM 2018

作者： Sedighi, Saeid Bhavani, Shankar Mysore R. Maleki, Sina Ottersten, Bjorn University of Luxembourg Luxembourg

ISBN: (纸本)9781538647523

Sparse linear arrays (SLAs), such as nested and co-prime arrays, have the attractive capability of providing enhanced degrees of freedom by exploiting the co-array model. Accordingly, co-array-based Direction of Arrivals (Doas) estimation has recently gained considerable interest in array processing. The literature has suggested applying MUSIC on an augmented sample covariance matrix for co-array-based Doas estimation. In this paper, we propose a Least Squares (LS) estimator for co-array-based DoAs estimation employing the covariance fitting method as an alternative to MUSIC. We show that the proposed LS estimator provides consistent estimates of Doas of identifiable sources for SLAs. Additionally, an analytical expression for the large sample performance of the proposed estimator is derived. Numerical results illustrate the finite sample behavior in relation to the derived analytical expression. Moreover, the performance of the proposed LS estimator is compared to the co-array-based MUSIC. © 2018 ieee.

关键词： Direction of arrival

来源：评论

学校读者我要写书评

暂无评论

Antenna array based Framework for Detection and Localization of Correlated signals 3

Antenna Array based Framework for Detection and Localization...

引用

3rd workshop on Communication Networks and Power Systems (WCNPS)

作者： Maranhao, Joao Paulo A. da Costa, Joao Paulo C. L. Univ Brasilia UnB Dept Elect Engn Brasilia DF Brazil

ISBN: (纸本)9781728106700

The number of signal components received at a sensor array as well as their angle of arrival can be estimated by array signal processing techniques. However, in multipath environments, several versions of a signal transmitted from the same source are highly correlated and consequently eigenvalue-based direction of arrival (DoA) estimation approaches are no more valid. This paper proposes to extend a previous framework with multipath mitigation for detecting and locating signal emitters in two aspects: (i) by considering the case of detection and localization of multiple emitters, and (ii) by including a decorrelation technique of the multipath components emitted from the same source. Simulation results show that the proposed framework is much more efficient than the previous one, presenting lower average localization errors and average angle of arrival errors when correlated signals are present.

关键词： Model order selection direction of arrival localization multipath mitigation correlation

来源：评论

学校读者我要写书评

暂无评论

Comparison of Sparse arrays From Viewpoint of Coarray Stability and Robustness

Comparison of Sparse Arrays From Viewpoint of Coarray Stabil...

引用

sensor array and multichannel signal processing workshop

作者： Chun-Lin Liu P. P. Vaidyanathan Dept. of Electrical Engineering MC 136–93 California Institute of Technology Pasadena CA USA

Sparse arrays, such as minimum redundancy arrays (MRA), nested arrays, and coprime arrays, can resolve O(N 2 ), uncorrelated sources with N physical sensors, since they possess an O(N 2 ) -long uniform segment in the difference coarray, which is defined as the differences between sensor locations. Empirically, this O(N 2 ), property is susceptible to sensor failures. On the other hand, uniform linear arrays (ULA) are known to be robust, but they possess only O(N) elements in the difference coarray. This paper compares the size and the robustness of the difference coarray for a wide variety of array geometries. It is observed from numerical examples that, for a fixed N, increasing the size of the difference coarray typically makes it less robust to faulty sensors. Furthermore, it is noticed from examples that given two arrays with the same N and the same difference coarray, one could be much more robust than the other.

关键词： sensor arrays Robustness array signal processing Redundancy Geometry Conferences

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97页 << < 20 21 22 23 24 25 26 27 28 29 > >>

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：