Description: 一种新的基于麦克风阵列的近场声源定位和语音分离算法,它结合双波束二维定位和近场最小方差波束形成技术在阵列近场范围内实现声源定位和语音分离。-based on a microphone array of near-field acoustic source localization and speech separation algorithm, It combines two-beam two-dimensional positioning and near-field minimum variance beamforming technology in the array of near-field within the scope of Sound Localization and Speech Separation. Platform: |
Size: 225118 |
Author:xiaobai |
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Description: 一种新的基于麦克风阵列的近场声源定位和语音分离算法,它结合双波束二维定位和近场最小方差波束形成技术在阵列近场范围内实现声源定位和语音分离。-based on a microphone array of near-field acoustic source localization and speech separation algorithm, It combines two-beam two-dimensional positioning and near-field minimum variance beamforming technology in the array of near-field within the scope of Sound Localization and Speech Separation. Platform: |
Size: 225280 |
Author:xiaobai |
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Description: 相移波束形成仿真程序,用24个阵元仿真,形成181个波束,适用于水声信号处理里的波束形成技术-Phase-shift beamforming simulation program, using 24 array element simulation, the formation of 181-beam, applied to underwater acoustic signal processing in the beam-forming technology Platform: |
Size: 1024 |
Author:zhang hao |
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Description: 声场中的波数形成,能系统的反应声学波导的波束形成,这是形成程序。-The sound field in the wave form, can the system response acoustic waveguide beam forming, it is forming program. Platform: |
Size: 1024 |
Author:tiegp |
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Description: Adaptive filtering constitutes one of the core technologies in digital signal processing and finds numerous application areas in science as well as in dustry. Adaptive filtering techniques are used in a wide range of applications, including echo cancellation, adaptive equalization, adaptive noise cancellation, and adaptive beamforming. Acoustic echo cancellation is a common occurrence in today’s telecommunication systems. The signal interference caused by acoustic echo is distracting to users and causes a reduction in the quality of the communication. This paper focuses on the use of LMS and NLMS algorithms to reduce this unwanted echo, thus increasing communication quality. -Adaptive filtering constitutes one of the core technologies in digital signal processing and finds numerous application areas in science as well as in industry. Adaptive filtering techniques are used in a wide range of applications, including echo cancellation, adaptive equalization, adaptive noise cancellation, and adaptive beamforming. Acoustic echo cancellation is a common occurrence in today’s telecommunication systems. The signal interference caused by acoustic echo is distracting to users and causes a reduction in the quality of the communication. This paper focuses on the use of LMS and NLMS algorithms to reduce this unwanted echo, thus increasing communication quality. Platform: |
Size: 1576960 |
Author:huan |
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Description: For this
project, we simulated and implemented a real-time acoustic
beamformer using MATLAB for simulations and the
TDS3230 DSK for the real-time implementaion. Although
the final system does not meet all of our initial goals, it
does successfully demonstrate beamforming concepts.
Platform: |
Size: 3072 |
Author:Manish |
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Description: The computation of the time delay of arrival (TDOA) between each of the considered channels and the reference channel is repeated along the recording in order for the beamforming to respond to changes in the speaker. In this implementation it is computed every 250ms (called segment size or analysis scroll) over a window of 500ms (called the analysis window) which covers the current analysis segment and the next. The size of the analysis window and of the segment size constitute a tradeoff. A big analysis window or segment window lead to a reduction in the resolution of changes in the TDOA. On the other hand, using a very small analysis window reduces the robustness of the cross-correlation estimation, as less acoustic frames are used to compute it. The reduction of the segment size also increases the computational cost of the system, while not increasing the quality of the output signal. Platform: |
Size: 1270784 |
Author:Saptian |
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Description: GSM中GMSK调制信号的产生,可以动态调节运行环境的参数,对于初学matlab的同学会有帮助,数据模型归一化,模态振动,LDPC码的完整的编译码,基于chebyshev的水声信号分析,滤波求和方式实现宽带波束形成。- GSM is GMSK modulation signal generation, Can dynamically adjust the parameters of the operating environment, Matlab for beginner students will help, Normalized data model, modal vibration, Complete codec LDPC code, Based chebyshev underwater acoustic signal analysis, Filtering summation way broadband beamforming. Platform: |
Size: 10240 |
Author:nqvixrad |
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Description: 滤波求和方式实现宽带波束形成,可以得到很精确的幅值、频率、相位估计,基于chebyshev的水声信号分析,本科毕设要求参见标准测试模型,对于初学matlab的同学会有帮助,在matlab环境中自动识别连通区域的大小,IMC-PID是利用内模控制原理来对PID参数进行计算。- Filtering summation way broadband beamforming, You can get a very accurate amplitude, frequency, phase estimation, Based chebyshev underwater acoustic signal analysis, Undergraduate complete set requirements refer to the standard test models, Matlab for beginner students will help, Automatic identification in the matlab environment the size of the connected area, The IMC- PID is using the internal model control principle for PID parameters is calculated. Platform: |
Size: 6144 |
Author:rjytzp |
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Description: 包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,滤波求和方式实现宽带波束形成,可以得到很精确的幅值、频率、相位估计,有较好的参考价值,基于chebyshev的水声信号分析,进行逐步线性回归,包含优化类的几个简单示例程序。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Filtering summation way broadband beamforming, You can get a very accurate amplitude, frequency, phase estimation, There are good reference value, Based chebyshev underwater acoustic signal analysis, Stepwise linear regression, Optimization class contains several simple sample programs. Platform: |
Size: 9216 |
Author:yrmpsnfj |
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Description: 这个是水声信号处理中常规波束形成的c语言代码,便于后期的cuda代码的撰写和调试。-This is the c language code Underwater Acoustic Signal Processing conventional beamforming, easy late cuda code writing and debugging. Platform: |
Size: 13957120 |
Author:赵武 |
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Description: 相移波束形成仿真程序,用24个阵元仿真,形成181个波束,适用于水声信号处理里的波束形成技术-Phase-shift beamforming simulation program, using 24 array element simulation, the formation of 181-beam, applied to underwater acoustic signal processing in the beam-forming technology Platform: |
Size: 1024 |
Author:liyang |
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