搜索资源列表
Experimental-data-structure
- 数据结构的一些基本实验，包括多项式求和，后缀表达式求解，稀疏矩阵，循环队列的实现等，可以对刚开始学习数据结构的学生有很大的帮助-Some of the basic structure of the experimental data, including polynomial summation, postfix expression solving sparse matrix, the realization of the circular queue students just beginn
data-construction
- 数据结构中一系列的练习包括：约瑟夫环，一元稀疏多项式简单计算器，迷宫，文学研究助手等源代码-Data structure in a series of exercises include: Josephus, one yuan sparse polynomial calculator, maze, literature research assistants such as source code
sparse_control
- Stream of the sparse data index Source Code for Linux.
main
- burg距离方位分别外推超分辨算法，实现对稀疏数据的超分辨成像。-burg extrapolation distance and orientation were super-resolution algorithm to achieve the super-resolution imaging sparse data.
Sparse-matrix-compression
- 稀疏矩阵压缩存储的基本操作实现实验 要求：数据元素类型ElemType取float。 1）从键盘输入两个稀疏矩阵A、B的各元素。（行<=5,列<=5） 2）完成矩阵的加法运算，并输出。-Compressed storage of sparse matrix operations to achieve the basic experimental requirements: data element types ElemType take float. 1) from th
affinity-propagation
- 这是两个使用matlab实现的AP（affinity propagation）算法，一个是普通的AP算法matlab源代码，一个是用于稀疏数据处理的AP算法matlab实现源代码。-试试带有自动翻译功能的新型浏览器。下载 Google Chrome 浏览器关闭翻译中文英语德语检测语言 英语中文(简体)日语 翻译文字或网页 这是两个使用matlab实现的AP（affinity propagation）算法，一个是普通的AP算法matlab源代码，一个是用于稀疏数据处理的AP算法m
Data-structures1
- 数据结构的一元稀疏多项式计算，vc6.0编写-Data structures one yuan sparse polynomial, vc6.0 write
The sparseLab Data supplement
- The data of sparse toolbox for finding sparsity
sparse-representation
- 稀疏表示，使得数据简单看，而且易懂，是流行的一种数据表示方法-Sparse representation，Make the data look simple, but to understand, is one of the popular data representation method
Sparse-matrix-calculator
- 数据结构课程设计 稀疏矩阵运算器 稀疏矩阵是指那些多数元素为零的矩阵。利用“稀疏”特点进行存储和计算可以大大节省存储空间，提高计算效率。实现一个能进行稀疏矩阵基本运算的运算器-Data structure curriculum design sparse matrix arithmetic are those most sparse matrix elements are zero. The use of sparse feature for storage and computing c
Sparse-polynomial-arithmetic
- 稀疏多项式运算器实验报告（内含全部源码），属于数据结构的课程实验报告-Sparse polynomial arithmetic test report (containing all source code), belonging to the experimental report data structures course
sparse-matrix
- 根据数据结构的算法和原理用c++实现稀疏矩阵的压缩和计算，-Achieve compression and sparse matrix algorithms and calculated using c++ according to the principle of data structures,
Hash-data
- 数字水印，利用稀疏编码的哈希算法对图像进行处理后的数据。-watermark, the sparse coding is used to hash the image.Therefore it s very convient to retrieve.
Sparse-algorithm
- 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.
Data-structure-experiment
- 数据结构实验源码如一元稀疏计算器，链表线性表等，纯手打，亲测可跑。注释中有对应实现的功能。-Data structure of the experimental source code such as a sparse calculator, linear list, etc., pure hand, pro test run. Note the corresponding implementation of the function.
ksvdsbox11-min
- KSVD 算法 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用(KSVD algorithm K-SVD sparse data is represented by building dictionaries, often used for image compression, coding, classification, and other applications)
cascade TiedNets-master
- 压缩感知程序 压缩感知用来还原稀疏数据 找到数据原始结构，对图像还原有重要意义(Compressed sensing program, compressed sensing, to restore sparse data, to find the original structure of the data, is important for image restoration)
SAE
- 使用TensorFlow实现稀疏自编码神经网络，采用数据mnist(Using TensorFlow to realize sparse atuoencoder neural network, using data MNIST)
批阅 中国后端第一书——数字集成电路物理设计
- 中国数字后端较为稀少的资料之一，普及基础的数字后端知识(One of the more sparse data sources in China's digital backend is the popularization of digital back-end knowledge)
AnalysisKSVDbox
- K-SVD可以看做K-means的一种泛化形式，K-means算法总每个信号量只能用一个原子来近似表示，而K-SVD中每个信号是用多个原子的线性组合来表示的。 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用。(K-SVD can be regarded as a generalized form of K-means. The total K-means algorithm can only approximate one signal for each sem