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收集了声源定位中的MUSIC算法，包括经典算法，基于解相干的空间平滑算法，修正MUSIC即MMUSIC算法-Collected in MUSIC sound source localization algorithms, including the classic algorithm, based on decoherence spatial smoothing algorithm, modified MUSIC algorithm that MMUSIC
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Bias Reduction for an Explicit Solution of Source
Localization Using TDOA
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Acoustic Source Localization With Distributed
Asynchronous Microphone Networks
A. Canclini, F. Antonacci, A. Sarti, Member, IEEE, and
S. Tubaro, Member, I-Acoustic Source Localization With Distributed
Asynchronous Microphone Networks
A. Can
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本程序是计算深海远场情况下的声源定位，首先要编译海洋环境文件（包含阵元信息），利用Krakren程序计算本征函数和本征模态，再利用本程序的子程序计算拷贝向量，然后合成声源信号，最后根据匹配场的程序进行匹配定位，由于数据量比较大，计算区域如果选的比较大的话，计算时间就比较长，酌情选择。-This procedure is to calculate the far-field sound source localization in case of deep sea, we must first c
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基于LABVIEW的声源定位设计，程序仿真-LABVIEW-based sound source localization design, procedures
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基于LABVIEW的声源定位系统的设计，内部包含程序代码-Design LABVIEW sound source localization system based on program code contained within
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基于STM32单片机的声源定位系统的设计，包含源代码-Design STM32 microcontroller-based sound source localization system
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预处理的源定位
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各种脚本用于处理源定位中使用的时间数据。
Time2Frames.m
mutilchannel时间数据转换为频谱帧
Time2TF.m
时间数据转换为相对传递函数的帧到通道1。
Frames2R.m
频谱帧转换为（freqeuncy而定）的协方差矩阵。
R2C.m
转换协方差矩阵噪声子空间（用于音乐）。
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这是一个人脸检测和定位的源码，不是我自己写的，是一本书自带的源码-This is a face detection and localization of the source, not my own writing, is a book that comes with source code
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四点定位，声源定位，可连续模拟多个声源进行定位模拟-Four-point positioning, sound source localization, continuous simulation of multiple sound source localization simulation
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time differance of arrival is localization technique
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We consider the source localization problem using
time-difference-of-arrival (TDOA) measurements in sensor networks.
The maximum likelihood (ML) estimation of the source
location can be cast as a nonlinear/nonconvex optimization
problem,
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source localization methods
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book on source localization 1
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book on source localization 2
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book of source localization
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roath algorithm for source localization
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In this paper, we propose a robust and low-complexity
acoustic source localization technique based on time differences of
arrival (TDOA), which addresses the scenario of distributed sensor
networks in 3D environments. Network nodes are assumed
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The paper presents a smartphone-based shooter localization
system. As muzzle blasts are difficult to detect at longer distances
and consequently present higher false detection rates,
the system relies on shockwaves only.
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In this paper, we investigate the problem of
reliable detection and localization of active sound source
using a new fusion approach of the vision and the
acoustic data that enables reducing errors of acoustic
localization caused mainly by syn
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