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声源定位中，提高时延估计精度的一种方法，即通过将原始信号取其立方后在做相关，得到的峰值更加尖锐。-Sound localization, the increase in the accuracy of time delay estimation method, whichever is the original signal through the cube after doing related to the peak obtained is more acute.
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通过WiFi信号的测量进行粒子滤波定位机器人 Particle filter for robot localization using WiFi measurements Matlab R2007b, Image Processing Toolbox 这个Matlab程序展示通过粒子滤波进行机器人的跟踪-WiFi signal measurement through the particle filter for robot positioning Particle filter for rob
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This algorithm predicts the received signal strength for the mobile user to avoid fluctuation in received signal strength during localization of the mobile user
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基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下-In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static
fingerprint-based techniques are comm
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语音分离的研究在语音通信、声学目标检测、声音信号增强等方面有着重要的理论意义和实用价值。而将语音分离技术应用到智能机器人中。让机器人具有智能的听觉，实现声源定位和分离，确定说话人个数，进行人机对话等方面更具有广阔的应用前景。 -Separation of speech in voice communications, acoustic target detection, sound signal enhancement, and so has important theoretical sign
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。通过对传统定位算法原理和误差来源进行分析，结合贝叶斯滤波概率模型对Euclidean定位算法进行
改进，使接收信号强度指示器随机波动得到有效的抑制。-. By traditional positioning algorithm principle and source of error analysis, probability model with Bayesian filtering algorithms to improve positioning of the Euclidean,
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为IEEE TRANSACTIONS ON SIGNAL PROCESSING 的信号源被动定位与跟踪领域的经典文章“Alleviating Sensor Position Error in Source Localization Using Calibration Emitters at Inaccurate Locations”的实现程序。-For the IEEE TRANSACTIONS ON SIGNAL PROCESSING passive source localization a
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此Matlab程序为IEEE TRANSACTIONS ON SIGNAL PROCESSING信号源被动定位与跟踪领域经典文章“An Approximately Efficient TDOA Localization Algorithm in Closed-Form for Locating Multiple Disjoint Sources With Erroneous Sensor Positions”的实现程序，该算法实现在感知节点位置错误时利用TDOA信息对多个目标联合定位的目的！-T
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IEEE TRANSACTIONS ON SIGNAL PROCESSING定位与跟踪经典文献“Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: Analysis and Solution”的Matlab程序。进行信号源被动定位与跟踪研究的童鞋可下载进行学习研究。-IEEE TRANSACTIONS ON SIGNAL PROCESSING posit
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子波分析是一种日益获得广泛应用的信号处理新技
术, 具有良好的时-频局部化特性, 尤其适用于时变及非平
稳信号。本文简述了子波函数与子波展开的基本概念, 利用
展缩子波和调和子波将信号及信号均方值进行时-频两维
分布。最后采用了三种子波分析方法对轴承故障进行诊断,
即使对现有各种方法尚难以诊断的滚动体故障, 也能获得
满意的结果, 说明子波分析的确为机械故障诊断提供了强
有力的分析手段。-Wavelet a nalysis, as a new technique of
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文章针对低信噪比下的水下目标定位问题，建立了水下无线传感器阵列网络，该结构包括多个分布式声传感器阵列，它适应于多模态信号处理，既可以利用目标的方位信息，又可以用能量信息。文中提出了用每个阵列接收到的信号能量作为参量完成目标定位并推导了基于能量的最大似然比目标定位方法。数值仿真表明：基于该结构的能量似然函数定位方法，可以有效估计目标的位置。并且比单阵元网络的定位性能和信息传输率上有了较大的提高， 尤其是在低信噪比下情况下，可以大大减小估计的方差。-With novel underwater wir
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小波分析因其在处理非平稳信号中的独特优势而成为信号处理中的一个重要研究方向。如今随着小波理论体系的不断完善，小波以其时频局部化特性与多尺度特性在图像边缘检测领域中倍受青睐。-Wavelet analysis of nonstationary signal processing because of its unique advantage in signal processing and become an important research direction in. Now with th
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汉化的数字信号处理工具箱1.0版中的Matlab 函数
用于<数字信号处理及MATLAB实现>一书
-Localization of digital signal processing toolbox of Matlab 1.0 function,
Used for "digital signal processing and MATLAB >
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A Sparse Signal Reconstruction Perspective for
Source Localization With Sensor Arrays
Dmitry Malioutov, Student Member, IEEE, Müjdat Ç etin, Member, IEEE, and Alan S. Willsky, Fellow, I-A Sparse Signal Reconstruction Perspective for
Source
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Stockwell Transform
Reference is Localization of the Complex Spectrum: The S Transform
IEEE Transactions on Signal Processing, vol. 44., number 4, April 1996, pages 998-1001.-Stockwell Transform
Reference is Localization of the Complex Sp
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产生不同体制的雷达pri信号，雷达信号截获与定位实验-Pri radar signal generating different systems, radar signal interception and localization experiments
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These days, optical networks worldwide have been widely deployed in various network scales,
including long-haul backbone and metropolitan areas, as well as regional broadband access. In order
to assure a certain quality of service and a service-l
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波束形成算法是信号源定位研究的基础，上传声聚焦波束形成算法案例，对基础研究者有一定帮助-Beamforming algorithm is the basis of signal source localization research, uploading sound focused beamforming algorithm case, the basic researchers have some help
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基于matlab的三角定位算法，可根据信号强度实现定位-Triangle localization algorithm based on matlab, can be achieved according to the signal strength positioning
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目标信号为CW信号，阵型为八元阵，采用五路并联Notch滤波器进行相位差估计，完成水声定位功能。本程序是项目中的，已经经过调试和优化，可放心使用。(The target signal is CW signal, the array is eight yuan array, and the five phase parallel Notch filter is used for phase difference estimation to complete the underwater acous
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