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k-svd-codeappt
- 内含用matlab编写的k-svd算法代码.可以对图像进行稀疏分解，另附ppt对ksvd进行理论学习-Includes using matlab k-svd algorithm code. Images can be sparse decomposition, attached ppt theoretical study of ksvd
SVD.m
- SVD奇异值变换matlab实现源代码，m文件源代码-SVD singular value transformation matlab source code to achieve, m source code file
svd
- svd算法用于滚动轴承故障诊断中，该算法通过对故障信号进行重构，能够有效提高故障频率。-svd algorithm for ball bearing fault diagnosis, fault signal by the algorithm to reconstruct, can effectively improve the fault frequency.
rdwt---svd-image-watermarking
- matlab rdwt svd watermarking
SVD-PCA-eig
- 本程序详细区别了matlab中pca、svd、eig三个函数的区别和联系。对于学习pca有极大帮助-This program detailing the differences between the differences and connections in matlab pca, svd, eig three functions. Pca great help for learning
Design-of-Hybrid-Genetic--SVD-ANFIS-Networks-for-
- Design of Hybrid Genetic- SVD ANFIS Networks for Fatigue Life Modelling of GRP Composites
SVD
- 采用160站点的温度和降水量数据，对我国东部地区的冬季温度和冬季降水量，进行SVD分析，并给出前两个模态。-160 sites using the temperature and precipitation data, winter temperatures and winter precipitation eastern China, SVD were analyzed, and the first two modes.
SVD
- SVD分解法去燥，可以很好的使用，本人亲测-SVD decomposition method to dry, can be a good use, I pro test
svd-of-matrix
- 对矩阵进行奇异值分解以判断所测传输矩阵的性质是否满足要求-svd of matrix
SVD
- 基于SVD的图像复制粘贴篡改检查算法源代码，仅供参考-svd-based image copy and paste tamper check algorithm source code, for reference only
the-implementation-of-the-SVD
- svd算法的实现,用matlab实现SVD算法-the implementation of the SVD algorithm
svdtls11
- 奇异值分解方法计算SVD方法处理最小二乘问题 对主函数进行分析(The singular value decomposition method calculates the SVD method to deal with the least squares problem and analyzes the main functions)
recommender-master
- 基于多种算法的推荐系统python实现，其中包括了SVD、聚类分析等多种热门算法，并且有很强的可扩展性(A recommender system based on several kinds of algorithms, written in python)
svd of matrix
- 可以对矩阵进行奇异值分解，有助于研究矩阵的正交性质，简单易懂(Singular value decomposition of the matrix can be helpful to study the orthogonal nature of the matrix, easy to understand)
ksvdbox
- K-SVD算法用于稀疏表达,基于OMP算法。(The algorithm is apply for sparse representation)
L1 SVD
- 利用压缩感知实现波达方向估计，运用奇异值分解对接收信号进行降维，再利用L1范数进行估计(The DOA estimation is realized by compressed sensing, and the singular value decomposition is used to reduce the received signal, and then the L1 norm is used to estimate the DOA)
K-SVD
- 稀疏编码和字典学习算法，正交匹配追踪算法获得稀疏表示稀疏，ksvd用来学习字典(Sparse coding and dictionary learning algorithm, orthogonal matching tracking algorithm to obtain sparse sparse, ksvd used to learn the dictionary)
SVD.m
- 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)
ksvdsbox11
- K-SVD一种经典的用来训练稀疏字典的方法(Implementation of the K-SVD and Approximate K-SVD dictionary training algorithms, and the K-SVD Denoising algorithm [ref]. Requires OMP-Box v10.)
107215802AnalysisKSVD
- 实现图像的稀疏编码，采用k-svd进行字典学习，omp算法进行稀疏表示系数的计算，内附有去噪例子(To achieve the image sparse coding, using K-SVD dictionary learning, OMP algorithm for sparse representation of the calculation of factors, with examples of denoising)