搜索资源列表
SB_release1
- 稀疏贝叶斯数据分类源程序第一个版本，里面附有相应的m文件和例程，解决数据分类问题。-Sparse Bayesian data classification source program first version, which is accompanied by the corresponding M files and routines to solve the problem of data classification.
spiffs
- SPI Flash的文件系统，用于嵌入式系统。-Spiffs is a file system intended for SPI NOR flash devices on embedded targets. Spiffs is designed with following characteristics in mind: - Small (embedded) targets, sparse RAM without heap - Only big areas of data (
spams-matlab2.5
- 数据挖掘机器学习的在线字典学习稀疏矩阵分解源码-Data mining online dictionary learning sparse matrix factorization source
CrossList-SparseMatrix
- 数据结构作业，十字链表实现的稀疏矩阵相乘，加，减等运算操作。-data structure, crosslist, sparse matrix
sparseae_yjy
- 本程序主要讨论了稀疏自编码的仿真实现，并且对数据进行了可视化处理-This procedure is mainly discussed in the simulation of sparse since encoding, and the data were visualized processing
KSVD_Matlab_ToolBox
- 为KSVD_Matlab_ToolBox，很好的图像处理资料，基于稀疏的图像去噪，效果很好，内含经典算法详细的说明。-Good image processing data, based on sparse denoising, good effect, containing a detailed descr iption of the classical algorithm.
datato1ofm
- Take categorical data matrix and transform whole matrix to binary sparse 1ofM matrix, keeping track of what came where. Ideal for any form of count-based probabilistic analysis.-Take categorical data matrix and transform whole matrix to binary sparse
SSC
- 利用SSC算法对空间数据进行稀疏子空间聚类，具有良好的效果。-SSC algorithms use spatial data sparse subspace clustering, with good results.
myheard
- 数据结构的课程设计,计算一元稀疏距阵的计算器-the data structure of a curriculum design, calculation of one yuan sparse matrix of calculators
DS3_v1.1
- 基于相异性的稀疏子集选择。作者是大名鼎鼎的Ehsan Elhamifar。-Dissimilarity-based Sparse Subset Selection (DS3) is an algorithm based on simultaneous sparse recovery for finding data/model representatives a large collection of data/models.
SMCE_v1.2
- 稀疏流形聚类。作者是大名鼎鼎的Ehsan Elhamifar。-Sparse Manifold Clustering and Embedding (SMCE) is an algorithm based on sparse representation theory for clustering and dimensionality reduction of data lying in a union of nonlinear manifolds.
wavelet_FISTA
- 利用小波变换作为稀疏基，并利用快速迭代软阈值进行稀疏促进，最终实现基于压缩感知理论的数据重构- Wavelet transform is used as the sparse basis, and the sparse promotion is realized by using the fast iterative soft threshold. Finally, the data reconstruction based on the compression perception the
RSSD
- 该代码针对滚动轴承故障振动信号呈现出非线性、非平稳性及噪声背景较强等特点，为了有效提取故障特征，使用的一种共振稀疏分解（Resonance-based sparse signal decomposition，RSSD）与小波变换相结合的振动信号特征提取技术的相关仿真实验程序和轴承数据分解程序。其中，共振稀疏分解是基于品质因子可调小波变换与形态分量分析的一种新的信号分解方法，与常规的基于频带划分的信号分解方法不同，它依据信号各分量的振荡形态不同对信号进行分解。 同时还提供了可调谐 Q 因子小波
RONGYUZIDIAN
- 利用构造冗余字典的方法实现数据分类问题，将数据进行稀疏分解，通过稀疏向量和残差判断故障类型-The method of using structural redundancy dictionary for data classification problem, the data are sparse decomposition, through sparse vector and residual judge fault type
Speech-Denoising-master
- 语音增强，基于数据融合的语音增强方法，用来处理稀疏噪声-Speech enhancement, speech enhancement based on data fusion method, used to deal with sparse noise
Matlab-Package-Book
- 本书介绍了稀疏和冗余表示,内容分两部分,共十六章。第一部分是稀疏和冗余表示的理论和数值基础,系统、条理地罗列了数据模型的理论基础、相关算法的数值部分(This book introduces the sparse and redundant representation, the content is divided into two parts, a total of sixteen chapters. The first part is the theoretical and numeric
code
- 稀疏傅立叶算法，matlab实现仿真，对于算法重构用到了混叠同余法和相位解码法，并对SFFT和FFT算法对同一数据的处理时间进行了对比。(Sparse Fourier algorithm, matlab to achieve the simulation, the algorithm used for aliasing congruence and phase decoding method, and the SFFT and FFT algorithm for the same data pr
decon
- 地震资料中反褶积MATLAB数据处理包。包括了预测反褶积，脉冲反褶积，稀疏反褶积等。对于地震资料处理有极大实用价值(Deconvolution MATLAB Data Processing Package in Seismic Data. Including the prediction of deconvolution, pulse deconvolution, sparse deconvolution and so on. For the seismic data processing ha
SPAMS
- 先输入数据生成相应的字典，再输入检测信号后得到用字典稀疏表示的结果(First input data, generate the corresponding dictionary, and then input the detection signal to obtain sparse dictionary results)
sss_parse
- 爬取科学美国人网站，并将条目存到本地数据库，可对内容做词云分析，得到关键词。(it can sparse science america automatically. All items will be saved in local data base. what's more, the content will be analysis the frequency.)