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这是CISS会议上发表的著名论文“Tensor Canonical decomposition based method for blind identification of MIMO system with 3-input 2-output case”的源程序，主要是讲基于张量规范分解的多天线系统的忙识别问题，里边包含了相应的文章，可以一起对照着看。-conference on the famous treatise "Tensor Canonical deco mposition
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基于特征函数的张量分解相关代码，结合“lm”，“als”等很多算法。
主要用于处理欠定MIMO系统识别-Based on the characteristic function of the tensor decomposition of the relevant code, combined with the " lm" , " als" and many other algorithms. Mainly used for underdetermined
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A novel higher order singular value decomposition (HOSVD)-
based image fusion algorithm is proposed. The key points are given as follows:
1) Since image fusion depends on local information of source images,
the proposed algorithm picks out info
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张量工具箱，提供张量分解等功能，附上安装说明文件，经测试很好用。-tensor decomposition and install readme
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张量分解程序，支持平行因子分解模型和TUCKER分解模型-Tensor decomposition process, and support for parallel factorization model and TUCKER decomposition model
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在VC++开发平台下，基于OPenGl开发包实现绘图功能，完成点云数据的绘制后，通过张量分解实现特征点检测-In VC++ development platform, based on the OPenGl development kit graphics, drawing completion point cloud data, through the tensor decomposition to achieve feature point detection
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Fast algorithm for higher order CANDECOMP/PARAFAC tensor decomposition
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二阶欠定盲分离程序，经典，完整，让您一目了然，请放心使用，原汁原味的matlab代码及详细的英文标注。-ack sobi_cp3
Second Order Blind Identification via Candecomp/Parafac order-3 (CP3)
to solve linear instantaneous Blind Source Separation (BSS).
sobi_cp3 allows to handle the exactly-det
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利用张量（三维矩阵）奇异值分解即SVD分解进行图像去噪，本代码运用MATLAB。-Using tensor (three-dimensional matrix) that SVD decomposition singular value decomposition for image de-noising, the code using MATLAB.
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解标志模糊的奇异值分解和多路张量模型,用Matlab代码编写.-Resolving the Sign Ambiguity in the Singular Value Decomposition and multi-way tensor models
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Channel Estimation for Millimeter Wave MIMO-OFDM Systems via Low-Rank Tensor Decomposition
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利用SVD实现item-based CF:
优点： 简化数据，去除噪声，提高算法的结果
缺点： 数据的转换可能难以理解
适用数据类型： 数值型数据(Svd decomposition plays an important role in the decomposition of eigenvalues of high-dimensional data, while using low-dimensional data for approximate approximation)
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use the swift method to make impedance tensor decomposition
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plot the result of impedance tensor decomposition
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基于张量Tucker分解的数据修复算法,能对缺失数据修复(Data repair algorithm based on tensor decomposition)
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非负矩阵重构图像，用lena图片重构效果还行(All the documents of tensor decomposition)
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一种张量分解的算法，应用于盲源分离和机器学习。(An algorithm for tensor decomposition)
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对tenor张量进行补全并最小化范数，得到tensor的分解形式(ADMM Complementing the tenor tensors and minimizing the norm, we get the decomposition form of tensor.)
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整合了不完整张量的平滑平行因子分解和最小化张量秩模型的有效选择的张量补全，用于图像处理，(The proposed method admits significant advantages, owing to the integration of smooth PARAFAC decomposition for incomplete tensors and the efficient selection of models in order to minimize the tensor rank
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一些关于张量填充，张量恢复，张量分解的一些常用算法（CP分解，Tucker分解）(some Algoithm about tensor decomposition)
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