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: 用于声源定位的二维声源位置图创建，可以同时画出几个方向的声源-Sound Source Localization for Two-dimensional sound source location map creation, can be drawn in several directions at the same time the sound source Platform: |
Size: 1024 |
Author:zhuyoujian |
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Description: VS2005典型实例源码大全(C#)，这是一些比较好的实例，对于初学者的是一大帮助。-VS2005 Guinness classic example of source code (C#), This is some of the better examples, for beginners is a big help. Platform: |
Size: 7168 |
Author:邰健生 |
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Description: monocular camera slam,但摄像机视觉定位与地图创建c#源码，Bob Mottram-monocular camera slam, but the camera visual localization and mapping to create c# source, Bob Mottram Platform: |
Size: 391168 |
Author:your name |
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Description: 采用滤波器组，将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理，并且在每个子带中进行声源定位，最后综合所有子带估计的方向得到多个声源的方位信息，同时将声源信息作为ICA分析的约束条件，可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向，再加以合适的权值均衡后即可得到更优的估计。-The use of filters will be blind source separation and sound localization together. Filter group were sub-band treatment, and in each sub-band in Sound Source Localization, and finally all the sub-band is estimated to be more than the direction of sound source location information, as well as sound source information as ICA analysis of the binding conditions, colored noise can be better and many of the blind source separation effect. Its advantage lies in a number of filter banks with estimated sound source direction, coupled with an appropriate balance weights can be obtained after the better estimate. Platform: |
Size: 462848 |
Author:chen |
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Description: 结合马尔可夫过程，提出一种概率论的声源定位算法，并给出了基于DSP的机器人实现。其中声源定位部分采用三个麦克风呈三角形放置，为减小由于噪声等引起的TDOA估计误差，采用马尔可夫过程计算时延，这样计算的时延会更可靠。该方案中的声源定位也属于一维定位，即只需知道声源的方向角-Combination of Markov process, a probability theory of sound source location algorithm, and give the robot based on the DSP implementation. Sound Source Localization in part one of the three microphones were used to place the triangle, in order to reduce the noise caused because of the TDOA estimation error, calculated using Markov process time delay, such delay will be calculated more reliable. The program of the sound source location is also a one-dimensional positioning, that is, only need to know the direction of the sound source angle Platform: |
Size: 871424 |
Author:chen |
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Description: 车牌定位源代码，能够很好地进行车牌的定位，为车辆的跟踪提供前提条件。-License plate localization source code, perfectly on the positioning for vehicle license plate, the tracking provide the prerequisite.
Platform: |
Size: 2562048 |
Author:LLY |
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Description: 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 Platform: |
Size: 138240 |
Author:咕叽咕叽 |
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Description: 。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, so that random fluctuations in received signal strength indicator is effectively suppressed. Platform: |
Size: 301056 |
Author:林小鱼 |
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Description: Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method. Then we investigate the node self-localization methods. Since the widespread adoption of the wireless sensor network, the localization methods are different in various applications. And there are several challenges in some special scenarios. In this paper, we present a comprehensive survey of these challenges: localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node to optimize the tradeoff between localization performance and energy consumption, cooperative node localization, and localization algorithm in heterogeneous network. Finally, we introduce the evaluation criteria for localization in wireless sensor network. Platform: |
Size: 1106548 |
Author:atrakpc@yahoo.com |
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