dijkstra

Newton-Thiele 二元有理向量插值，向量为二元(Newton-Thiele bivariate rational interpolation vector, vector for the binary)

Correct pitch using the Time Shifting algorithm.

无摄像机抖动的背景建模方法，使用张量分解，需要张量工具箱的支持。(a background estimation method, using tensor factorization.)

adrc历程，可以编译通过并使用。简单易懂，注释稍微有些少，有基础可看懂。((ADRC algorithm, easy to understand, comments somewhat less, there is a basis can be read.))

说明：  第6章 无约束一维极值问题 所在章节 函数名 功 能 6.1 minJT 用进退法求解一维函数的极值区间 6.2 minHJ 用黄金分割法求解一维函数的极值 6.3 minFBNQ 用斐波那契法求解一维函数的极值 6.4 minNewton 用牛顿法求解一维函数的极值 6.5 minGX 用割线法求解一维函数的极值 6.6 minPWX 用抛物线法求解一维函数的极值 6.7 minTri 用三次插值法求解一维函数的极值 6.8.1 minGS 用Goldstein法求解一维函数的极值 6.8.2 minWP 用Wolfe-Powell法求解一维函数的极值 (Chapter 6 unconstrained extremum problem one-dimensional sections of the functional 6.1 minJT function method for solving one-dimensional with the advance and retreat of the extreme range of 6.2 minHJ function of the golden section method using one-dimensional function of the extreme 6.3 minFBNQ use Fibonacci method one-dimensional function of the extreme 6.4 minNewton Newton method with one-dimensional function with extreme 6.5 minGX one-dimensional secant method to solve the extreme 6.6 minPWX function method for solving one-dimensional parabolic function of the extreme 6.7 minTri method with cubic interpolation one-dimensional function of the extreme 6.8.1 minGS Goldstein method with one-dimensional function of the extreme 6.8.2 minWP Wolfe-Powell method with a one-dimensional extreme value function)

多重网格算法实现图像的去噪，效果较好，基于rof模型，大家一起学习交流！(Multiple grid algorithm of image denoising, the effect is good, based on rof model, study with you exchange )

使用Matlab工具实现哈夫曼压缩编、解码，已执行验证可实现(Using the Matlab tool Huffman compression coding, decoding, validation is performed to achieve)

matlab gui设计学习手册》 第二版 2012新版 第九章源码 matlab gui the second edition(matlab gui the second edition)

国外计算机科学经典教材 Matlab Guide to Finite Elements 《Matlab有限元分析与应用》。使用于酷爱有限元与Matlab的相关人员。(Computer Science classics teaching abroad Matlab Guide to Finite Elements Matlab finite element analysis and application. Very fond of the finite element used in the relevant personnel with Matlab.)

本文针对基于经验模态分解ＥＭＤ的时空滤波器存在的固有模态函数分量中频率混叠交叉导致有用信号与噪声一起被滤除的问题结合小波在时间尺度两域表征信号局部特征的特性提出了一种基于能量估计实现ＥＭＤ分解层数确定(In this paper, based on empirical mode decomposition EMD temporal filter mode functions inherent component of cross-frequency aliasing and noise together lead to useful signal is filtered in the time scale of the problem combined with wavelet domain characterization of two local features of the signal characteristics of proposed achieve energy estimation based on EMD decomposition level determined)