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shengyuandingwei
- 声源定位，可以用于北京航空航天大学基础物理实验声源定位的C语言模拟-shengyuandingwei
imsq
- 麦克风阵列声源定位迟延估计算法，实现麦克风阵列的声源定位，可以和别的算法进行比较，得出最优算法-Microphone array sound source localization delay estimation algorithm, the microphone array sound source localization, can be compared with other algorithms, the optimal algorithm
ToolboxIWS--deconverlution
- 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
voice-location
- 实现声源定位 并且能够控制摄像头转动到声源定位的位置。-It can realize voice location and control the camera
shengyidaoyin
- 本组设计的声音导引系统使用双MCU结构，采用基于时间差的声源定位算法（利用三路接收器的时差信号）结合PID算法判断并控制移动声源的速度。本设计的特色在于使用四阶Butterworth带通滤波器对声音信号进行处理，使其具有较强抗干扰能力。且系统设计性价比高，功耗低。-Our group design the Sound Guidance System based on Bi-MCU configuration, using time difference sound source orientat
ResearchofReal
- 基于DSP的声定位智能引信实时性ResearchofReal-timeofAcousticLocalization-DSP-based real-time acoustic positioning smart fuze
source-localization
- 本文介绍了基于麦克风阵列的声源定位算法，给初学者有很大的帮助-This article describes the microphone array based sound source localization algorithm, a great help for beginners
HRTF-by-ARM
- 基于HRTF-头部反应传送函数(Head-Response Transfer Function)算法实现虚拟声定位的理论研究以及ARM平台实现-硕士论文-Based on HRTF-Head reaction transmission Function (Head-Response Transfer Function) algorithm to realize the positioning of the virtual sound theory research and ARM platfor
matlab
- 用四元十字阵做被动声定位算法设计，现在是用matlab神经网络工具箱构建RBF神经网络然后仿真显示图形-With a four-element Array do passive acoustic localization algorithm design, now using matlab neural network toolbox and then build on RBF neural network simulation display graphics
RBF-neural-network
- 用四元十字阵做被动声定位算法设计，现在是用matlab神经网络工具箱构建RBF神经网络然后仿真显示图形-With a four-element Array do passive acoustic localization algorithm design, now using matlab neural network toolbox and then build on RBF neural network simulation display graphics
ICA和时频方法进行声源定位
- ICA和时频方法进行声源定位的matlab程序，含源程序及介绍，调用主程序即可。
passive-acoustic-localization
- 基于功率谱密度的平面十字阵列被动声定位matlab仿真程序-Based on planar cross power spectral density array of passive acoustic localization matlab simulation program
Nofilter-final
- 这是基于三角追踪法的声源定位方法，C语言程序。没有添加滤波器(This is based on the triangulation tracking method of sound source location, C language program. No filter is added)
Kaiserfilter-final
- 这是基于三角追踪方法的声源定位2，利用了kaise滤波器。(This is based on the triangulation tracking method of sound source location 2, using the Kaise filter.)
Beamform-final
- 这是基于波束形成方法的声源定位，一般信号处理用matlab语言，利用C语言进行了修改。(This is the sound source localization based on the beamforming method. The general signal processing is modified by the MATLAB language and is modified by the C language.)
m118kmh_1frequency
- 气动噪声声源定位的频域分析，风速118kmh(Frequency Domain Analysis of Aerodynamic Noise Source Positioning, Wind Speed 118kmh)
m118kmh_1time
- 气动噪声声源定位的时域分析，风速118kmh(Time Domain Analysis of Aerodynamic Noise Source Positioning, Wind Speed 118kmh)
tdoa
- 该程序是基于MATLAB的TDOA方法声源定位(The program is based on MATLAB's TDOA method for sound source localization)
2016-1515_flow_toEditor_Content_7_186792
- 震源定位中异常传感器筛选，强烈推荐，可准确筛选出记录异常到时的传感器，提高定位精度(Screening of abnormal sensors in focal location)
声源定位
- 声源定位是依据声音信号到达各个麦克风的时延来判定声源的位置(Sound source localization is based on the time delay of sound signals arriving at each microphone to determine the location of sound sources.)