Description: 自己编的，基于自然梯度的盲源分离算法，如果想对自然梯度有所了解，可以参考Amari的经典文章。网络上一搜就行。-own series, based on the natural gradient algorithm blind source separation, if you want to understand the natural gradient. Amari can refer to the classic article. Networks found on a trip. Platform: |
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Author:马明 |
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Description: 提出了一种新的自适应盲源分离算法。在无噪音实时两源两传感器的情况下, 一旦观
测信号被白化, 只需要辨识一个特定的旋转矩阵就可以完成盲源分离, 并给出了能表征该旋转矩阵的角的自适应估计器。仿真结果表明, 当满足源峭度和不为零的条件时, 这种方法是一种稳定的和有效的分离算法。-proposes a new adaptive algorithm for blind source separation. In the absence of real-time two noise sources two sensor case, once observed signal was albino, only need to identify a specific rotation matrix can be completed blind source separation, given to the characterization of the angle of rotation matrix adaptive estimation. Simulation results show that when the source met in front of zero degrees and the conditions, this method is a stable and effective separation algorithm. Platform: |
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Description: 使用FastICA算法，进行盲源分离，得出源信号。-FastICA algorithm used for blind source separation, arrive at the source of the signal. Platform: |
Size: 1024 |
Author:kaka |
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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: |
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Author:chen |
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Description: 盲源分离问题的matlab程序，采用ICA方法-Matlab problem of blind source separation program, the use of ICA methods Platform: |
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Author:洛龙行 |
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Description: ICA盲源分离，用于信号的处理，可以实现混叠信号的分离，外文文献，具有较好的参考-ICA blind source separation, for signal processing, can achieve the separation of overlapping signals, foreign literature, with a better reference Platform: |
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Author:shaojiang |
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Description: 这是一个特别适合初学者进行学习,训练的关于ICA盲源分离的例子。简单易懂。-This is a particularly suitable for beginners to learn, training on the ICA blind source separation example. Easy to understand. Platform: |
Size: 1024 |
Author:wangjiang |
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Description: 独立成分分析（Independent Component Analysis），最早应用于盲源信号分离（Blind Source Separation，BBS）。ICA理论的基本思想是从一组混合的观测信号中分离出独立信号，或者尽可能独立的信号对其他信号进行表征。(Independent Component Analysis was first applied to Blind Source Separation (BBS). The basic idea of ICA theory is to separate independent signals from a mixed set of observed signals or to characterize other signals as independently as possible.) Platform: |
Size: 45056 |
Author:jieyingwei@yeah.net
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