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The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated .
The number of independent components ar
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he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization.
The
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ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The
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PAV (H265) 是 音视频 压缩解压 协议，非常不同于H264/MPEG4，ZPAV (H265) 的基本算法 是 小波，多级树集合群，广义小波，数学形态小波，......
ZPAV (H265) 基本算法 ：
1，图象与声音分解与合成 ：小波 ；
2，图象与声音前处理 ：小波子带零交叉降噪，目标纹理处理，语音处理 ；
3，速率控制 ：小波子带熵速率控制 ；
4，量化与反量化 ：小波子带熵量化与反量化 ；
5，低频分量和高频分量的降维 ：小波子带邻域交
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申铉京等提出三维直方图重建和降维的Otsu阈值分割算法。通过重建三维直方图，减弱了噪声干扰，将三维直方图区域划分由八分法改为二分法，使得阈值搜索的空间维度从三维降低到一维。-Shin Hyun Beijing and proposed a three-dimensional histogram reconstruction and dimensionality reduction of the Otsu threshold segmentation algorithm. Weakened by
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Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reductio
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Image Retrieval Algorithm for retrieving the image from the cluttered Noise Mainly helps in getting the significant points of the image. Smoothens the image with reduction of unnecessary factors
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针对
１２８
维
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特
征向量，采用距离匹配和余弦相似度匹配相结合的测度方法，利用特征点方向一致性进一步降低误匹配率
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实验结
果表明：改进算法对图像的缩放、旋转、光照、噪声和小尺度的视角变换均有较好的匹配效果
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与原算法相比，在保
证匹配点数和匹配时间的基础上，改进算法对旋转、缩放、噪声模糊和光照变换的误匹配率平均降低
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，
对于小尺度的视角变换，误匹配率平均降低
５％．
-For 128-dimensi
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主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原
-Mainly discuss how to get the picture after extracting its boundary information, the first use of the im
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拉普拉斯特征映射算法，可实现高维信号降维或实现带内滤波降噪。-Laplace feature mapping algorithm, can achieve high dimensional signal dimensionality reduction or implement band noise filtering.
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自适应滤波算法,可用于语音降噪等前端处理 可以推荐一下-Adaptive filtering algorithm can be used on the front voice noise reduction processing You can recommend
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关于数字图像处理的算法研究（仅附录有两个Matlab编程案例），包括图像采样和降噪等等。(About digital image processing algorithm research (only the appendix has two Matlab programming case), including image sampling and noise reduction and so on.)
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自适应滤波算法,可用于语音降噪等前端处理 可以推荐一下(Adaptive filtering algorithm can be used on the front voice noise reduction processing You can recommend)
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speckle algorithm for reduction
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C实现BM3D图像去噪算法，可以在vs 2010运行......(C implementation of BM3D image denoising algorithm, you can run NLM noise reduction in vs 2010)
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SRAD algorithm ,reduction speckle noise from SAR image
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RLS算法语音降噪，使得语音信号更加清晰。(Speech noise reduction in RLS algorithm,To make the voice signal more clear.)
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维纳滤波算法，可以实现对语音信号的降噪，效果还可以(Wiener filtering algorithm, it can achieve noise reduction on speech signals)
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基于RLS算法的多麦克风降噪
把主麦克风语音信号降噪，还原为原始音频信号(Multi microphone noise reduction based on RLS algorithm)
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语音降噪经典算法NLMS最小均方算法MATLAB程序(Speech noise reduction classical algorithm NLMS minimum mean square algorithm MATLAB program)
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