搜索资源列表
KSVD-dictionary-learning-Matlab
- 这个程序可以对KSVD进行综合测试。首先，会产生一个随机的正交字典，会产生一个ＫＳＶＤ算法输入，这个输入是一个数据信号集合，每个元素都是三维元素的线性组合。-In this file a synthetic test of the K-SVD algorithm is performed. First, a random dictionary with normalized columns is being generated, and then a set of data signal
romp
- romp算法实现基于稀疏表示的图像超分辨率算法字典对的训练，本代码为matlab文件 -Romp algorithm to realize image super-resolution algorithm based on sparse representation of a dictionary of training, the code for the matlab files
KSVD_Matlab_ToolBox
- ksvd字典学习算法，matlab环境下运行-ksvd dictionary leanrning algorithm, run in matlab
Dictionary_Learning
- Dictionary learning 相关的matlab代码 里面有相关文档和数据源-the related code and documents to dictionary learning
KSVDdenoise
- ksvd 去噪，通过字典学习后得到的字典，对图像进行稀疏分解，从而达到去噪效果。(Ksvd denoising, through the dictionary learning to obtain the dictionary, the image sparse decomposition, so as to achieve denoising effect.)
sharingcode-LCKSVD
- 模式识别 字典学习 图像处理 本人亲测 可以直接运行！(Pattern recognition, dictionary learning, image processing)
spams-matlab
- matlab里的稀疏表达工具包 src算法 字典学习工具等等功能(Matlab sparse expression toolkit, SRC algorithm, dictionary learning tools, and so on)
MATLAB总结
- 信号稀疏表示的目的就是在给定的超完备字典中用尽可能少的原子来表示信号，可以获得信号更为简洁的表示方式，从而使我们更容易地获取信号中所蕴含的信息，更方便进一步对信号进行加工处理，如压缩、编码等。信号稀疏表示方向的研究热点主要集中在稀疏分解算法、超完备原子字典、和稀疏表示的应用等方面。(Signal sparse representation is to overcomplete dictionary given in as little as possible to represent atomi
nctoolbox-nctoolbox-1.1.3-4-gfa2e922
- matlab下的nctoolbox工具包，用于读取grib文件 第一步addpath到nctoolbox的路径 第二步setup_nctoolbox(Use nctoolbox to read and export gird files in matlab first step: addpath the dictionary of nctoolbox secend setp: setup_nctoolbox in command line)
代码
- 机器学习，流行学习，RBF，字典学习，matlab程序。(Machine learning, popular learning, RBF, dictionary learning, matlab program.)