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盲信号自然梯度法盲分离程序,用于进行瞬时盲分离-Natural Gradient Blind Signal Separation legal procedures, for instantaneous blind source separation
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多种基于内容的视频检索镜头分割算法matlab程序,主要是检测突变,有基于直方图的方法,基于X2直方图的方法,基于像素的方法以及基于边缘轮廓法对比!对于这一领域的研究具有很好的入门作用!也是本人毕业论文所写的!视频文件建议先分离掉声音,仅保留图像系列,文件须为mpg!-A variety of content-based video retrieval lens matlab segmentation procedures, the major mutations are detected, t
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matlab平台ICA独立成分分析源代码。用法:[icasig,W] = Fasticadef(x)
输入量:x
输出量:icasig(独立成分),W(分离矩阵)-matlab platform independent component analysis ICA source code. Usage: [icasig, W] = Fasticadef (x) input: x output: icasig (independent component), W (separation
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:独立成分分析 ( I C A)在国内尚属一门新型的方法 介绍了I C A的原理及其算法 ,然后介绍了该算法在盲源
信号分离中的具体应用,并将此方法 与主成分方洼 ( P C A)进行了比较-: Independent Component Analysis (ICA) in China is a new method to introduce the principle of the ICA and its algorithm, and then introduced the algori
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【 摘 要】 提出了一种基于负熵的快速不动点1 C A算法, 介绍了负熵的定义和如何将其用作代价函数度量混合信号的非
高斯性。 详细介绍了基于负熵的固定点准则以及简化算法。实验选取 3个非高斯向量作为信号源进行 Ma t l a b分离仿真, 结果显示
分离效果良好。-Abstract Based on the rapid Negentropy 1 CA fixed point algorithm, introduced the definition of negentropy an
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用于神经网络自适应算法的Matla盲源分离
-Adaptive algorithm for neural networks of the Matla Blind Source Separation
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一种基于盲源分离和Wigner_Hough变换的线性调频信号检测方法.模式识别中的内容,图像图像处理的经典算法-Based on Blind Source Separation and Chirp Transform Wigner_Hough signal detection methods. Of the contents of pattern recognition, image of the classical image processing algorithm
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基于二阶统计量的盲源分离算法程序,对原始算法做了一定得改进。-blind source separation based on second order statistics,madke some improvement to the origin arithmetic
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separate visual cpp source
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盲信号分离及其应用,张贤达教授的作品。格式为PDF形式的幻灯片。对盲分离初学者有用。-Blind Source Separation with Applications
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有关快速定点独立分量分离的Matlab源程序,
有很详细的说明,对于研究FastICA很有价值,-Independent component of the fast fixed-point Matlab source separation, had a very detailed descr iption of FastICA valuable for research,
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运用PCA进行盲分离的matlab源代码程序-matlab program based on PCA for blind source separation
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本程序通过优化ICA算法实现了混合图像的盲源分离,分离效果优于一般ICA算法-This procedure optimized ICA algorithm is a mixed picture of blind source separation, separation is better than the general ICA algorithm is
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自己编写的,盲源分离算法仿真分析系统(图形界面)又名:独立分量分析;算法种类:自然梯度算法、投影自然梯度算法、FastICA、SOBI、NJD非正交联合对角化。信号种类:
MASK:2ASK,4ASK,8ASK
MPSK:2PSK、4PSK、8PSK
MFSK:2FSK、4FSK、8FSK 分连续相位CPFSK和离散相位DPFSK两种
MQAM:16QAM、32QAM、64QAM、128QAM
OFDM:子载波数可任意选定,映射方式有BPSK、QPSK、4QAM、16QAM、
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基于峭度的盲源开关算法对信号进行分离,实现了良好的分离效果-Kurtosis-based switch algorithm for blind source separation of signals to achieve a good separation effect
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基于最大信噪比的盲源分离算法,可以用来和其它算法进行比较-Based on the maximum signal to noise ratio Blind source separation algorithm, and other algorithms can be used to compare
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on of method for blind source separation implementation for instantaneous mixture
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FastICA是应用非常广泛的盲分离算法,上传一个 其工具箱的使用文档,希望对初学者有帮助。-FastICA is a very broad application of blind source separation algorithm is used to upload a document of their toolbox, hope to be helpful for beginners.
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不错的盲源分离工具箱,实现对声源的分离,包含多个子程序-a nice toolbox of blind source separation used to separate multiple sources
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