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c语言教程(www.vcok.com版)
- 经典c程序100例==1--10 【程序1】 题目：有1、2、3、4个数字，能组成多少个互不相同且无重复数字的三位数？都是多少？ 1.程序分析：可填在百位、十位、个位的数字都是1、2、3、4。组成所有的排列后再去 掉不满足条件的排列。 2.程序源代码： main() { int i,j,k printf("\n") for(i=1 i<5 i++) ／*以下为三重循环*/ for(j=1 j<5 j++)
setup_mathpack80_D6
- SDL Component suite for D6 SDL 组建是一套支持科学和工程计算的工业控件集，有10万行源码，50个例程. 3D 数据， 3D 数据，地图集，原子符号，β函数的情节的旋转，校验扫描的图像， CAS 登记号码，图表，颜色选择， 常量和兑换率，轮廓绘制，化学结构，化学数据，化学公式，Ｘ分配，群聚，转换程序，曲线适合， 地理数据，基体，图解，目录，配给，矩阵标签， eigenvectors， F-分布， FF
CodeBook
- Code MATLAB in S. Theodoridis, A. Pikrakis, K. Koutroumbas, D. Cavouras - Introduction to Pattern Recognition: A MATLAB Approach
KSVDchaotic
- 语音压缩感知，观测矩阵采用混沌序列，稀疏字典采用KSVD训练得到。-compressed sensing with chaotic sequence and K-SVD
Compression-sensing
- 压缩传感理论，用K-SVD算法训练字典，过完备字典-Compression sensing theory, SVD algorithm with K- had complete training dictionary, dictionary
KSVD_Matlab_ToolBox
- The K-SVD is a new algorithm for training dictionaries for linear representation of signals. Given a set of signals, the K-SVD tries to extract the best dictionary that can sparsely represent those signals.
_k_svd--haodong
- K—SVD字典学习的算法，希望对你有帮助，你可以- Some K—SVD methods,I think it will help you.You can look at it.
KSVD-P-Sparse-Representation
- K-SVD SPARSE REPRESENTATION 基于学习的稀疏表示图像分析方法，以去噪为例。-K-SVD SPARSE REPRESENTATION
k-svd_sparse_represent
- 运用k-svd构建冗余字典，有效提高了字典的鲁棒性。-Using k-SVD build redundant dictionary, effectively improve the robustness of the dictionary.
KSVD_Matlab_ToolBox
- The K-SVD is a new algorithm for training dictionaries for linear representation of signals. Given a set of signals, the K-SVD tries to extract the best dictionary that can sparsely represent those signals.
K-SVD-algorithm
- 是一个关于KSVD的算法介绍的PPt，详细介绍了如何用KSVD算法对字典进行训练-On KSVD algorithm described in the PPt details how KSVD algorithm dictionary training
K-SVD_code
- 做实验时找到的K-SVD算法的Matlab代码，很好用,有需要的可以下载下来一起研究下-When doing experiments to find the K-SVD algorithm Matlab code, easy to use, there is a need to study together can be downloaded under
K-SVD_Dictionary-training
- k-SVD 字典训练 matlab源代码，欢迎有需要的下载一起研究-k-SVD dictionary training matlab source code, welcomed the need to download the study together
K-SVD
- 依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。-Based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decomposition item as an updated dictionary
dimensionality-reduction-and-k-means
- 1.使用k-svd对数据进行稀疏表示，降维 2.使用k-means对上述数据聚类-1.use k-svd to reduce the dimensions of data 2.clster the data by k-means
K-SVD_and_W_KSVD_Sparse_Representation
- 通过字典学习更新的方法，对图像信号进行稀疏化分解(Through the method of learning and updating the dictionary, the image signals are sparse decomposed)
KSVD
- K-SVD图像去噪，仿真结果为原图像，加噪图像，去噪图像和字典原子。(K-SVD image denoising, simulation results for the original image, add noise, image denoising and dictionary atoms.)
demo
- K-SVD图片去噪，直接运行其中quzao.m文件即可。(K-SVD image denoising, directly run the quzao.m file.)