搜索资源列表
CubicMultinomialRegress
- 一、 一元三次回归方程 CubicMultinomialRegress.cs 方程模型为Y=a*X(3)+b*X(2)+c*X(1)+d public override double[] buildFormula() 得到系数数组，存放顺序与模型系数相反，即该数组中系数的值依次是d,c,b,a。 以后所述所有模型的系数存放均与此相同（多元线性回归方程除外）。 public override double forecast(double x) 预测函数，根据模型得到预测结果
TVAL3
- %TVDENOISE Total variation grayscale and color image denoising % u = TVDENOISE(f,lambda) denoises the input image f. The smaller % the parameter lambda, the stronger the denoising. % % The output u approximately minimizes the Rudin-Osher-Fatemi (ROF)
RecPF_v2.2
- 基于局部傅里叶变换数据的重构算法的研究,是一种比有效快速的重构算法-New features: Switched to complex computation, fully compatible with complex data Replaced penalty parameter continuation by R. Glowinski and P.L. Tallec s alternating direction method (ADM or ADMM) New
KMLCreator
- KML 2.0介绍 KML全称是Keyhole Markup Language KML，是一个基于XML语法和文件格式的文件，用来描述和保存地理信息如点、线、图片、折线并在Google Earth客户端之中显示 The core of the project is the KMLCreator.cs. This has three classes, KMLCoordinates, KMLPoint and KMLLine-Google Earth KML File Creator C
spaceborne_SAR
- 1.本程序是自己刚刚接触SAR时编写的时域星载SAR点目标回波仿真，包含了卫星轨道模型、计算星目斜距时用到的各种坐标系转换、SAR回波计算模型以及简单的SAR成像模型，希望对初学者有所帮助。 2.相应的参考资料可查找《卫星轨道姿态动力学与控制》及《魏钟铨_合成孔径雷达卫星》；-1. This program is just contact with their own prepared when the time domain SAR spaceborne SAR point target
sparseMRI_v0.2
- phantom_denoising去噪，包含了CS+UWT去噪和CS+NSCT去噪-phantom_denoising denoising, including the CS+ UWT denoising Denoising and CS+ NSCT
matlab_program
- 说 明 1.读者使用实例程序时，请先将文件拷贝到硬盘上，去掉只读属性；否则可能出错。 2.为了方便读者阅读，光盘中包括了书中的几乎所有的源代码，分别按照章节进行编排。 3.程序使用 例如: 要查看5.1.1节 关于plot命令的示例程序运行结果，则在MATLAB 7.0命令窗口输入“>>plot511”即可。 4.如果学习中遇到问题，欢迎登录求是科技网站参与讨论。 求是科技网址：http://www.cs-book.com-Note
RICARTA-AGRAWALA--ALGORITHM
- Also known an Ricart and Agrawala’s algorithm. • Nodes use logical clocks: all events are in total order. • When a node wants to enter a CS (Critical Section) it sends a message. • The message contains following information 1.
cs
- 用来解决压缩感知里求解优化问题的算法matlab代码-solves the minimization problem. min_u ||u||_1+ lambda ||a*u- f||_2^2. algorithms are based on greedy coordinate descent and the bregman iterative method. matlab 7.5 (r2007b) image processing, mathematics, optimization, res
lab2
- CS 201 DATA STRUCTURES AND ALGORITHMS LAB 2 Aim: Linked list concepts.
ObjectLocalization_Code
- 一个基于Felzenszwalb的latent svm的目标检测框架-This is an implementation of our object localization system as described in [1]. This system is an adaption of the object detection framework of Felzenszwalb et al. [2][3](http://people.cs.uchicago.edu/~pff/latent-r
kmeans
- function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers
OMP2
- 2维的图像压缩重构程序，很好的程序，可以运行-CS omp agritourism
csMRIdemo
- 本程序包里面代码用matlab编写，有三个demo，分别处理然后用CS重建1维，2维信号，最后一个是对大脑图像做CS重建对比-This package inside the code written in matlab, there are three the demo, be treated separately and then use the CS reconstruction of one-dimensional, two-dimensional signal, the last CS
cuckoo_search
- 布谷鸟搜索（Cuckoo Search，缩写 CS），也叫杜鹃搜索，是由剑桥大学杨新社（音译自：Xin-She Yang）教授和S.戴布（S.Deb）于2009年提出的一种新兴启发算法[1]。 CS算法是通过模拟某些种属布谷鸟的寄生育雏（Brood Parasitism） [2]，来有效地求解最优化问题的算法[3]。同时，CS也采用相关的Levy飞行搜索机制。研究表明，布谷鸟搜索比其他群体优化算法更有效-Cuckoo search (Cuckoo Search, acronym CS)
cuckoo
- Cuckoo search (CS) is an optimization algorithm developed by Xin-she Yang and Suash Deb in 2009.[1][2] It was inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). S
cs
- 本程序主要研究一种具有保相性的基于 压缩感知的距离压缩算法，程序1为无噪声信号CS重构目标距离像，程序2为含噪声信号CS重构目标距离像，程序3为探求CS分辨率，程序4为探求CS保相性。 -The main phase of an insurance-based compressed sensing range compression algorithm, program 1 is no noise the image signal CS reconstruction goals, the
CS-recovery-LevelSet-Normals
- 压缩感知恢复算法，使用新的范数来提升图像恢复能力，包含论文和代码。-We propose a compressive sensing algorithm that exploits geometric properties of images to recover images of high quality few measurements. The image reconstruction is done by iterating the two following steps: 1) e
CS
- 因为自然界的数据都存在局部低维结构、周期性、对称性等，因此，传统的固定采样率的采样方法必然存在信息冗余。由于信息冗余的存在，我们就知道有数据压缩那么一门学科。既然这样，为什么要把冗余的数据也采进来，再进行压缩呢，能不能不把冗余的数据采集进来？ 压缩感知的思路就是：在采集的过程中就对数据进行了压缩，而且这种压缩能保证不失真（低失真）的恢复原始数据，这与传统的先2倍频率采集信号→存储→再压缩的方式不同，可以降低采集信号的存储空间和计算量。 本程序是对于压缩感知模型的数学描述(Mathematics
spgl1-2.0
- This package contains Matlab implementations of CS based recovery algorithms