shujuwajue

OS-EM迭代算法 用于图像重建，是一种新的图像重建方法，可以有效减少伪影(OS-EM iterative algorithm for image reconstruction, is a new image reconstruction method can effectively reduce the artifacts)

使用matlab求解方程的小资料，简单易用。(Solving equations using matlab small information, easy to use.)

说明：  本书共分12章，内容包括matlab r2010a简介、基本使用方法、数组和向量、matlab的数学运 算、字符串、单元数组和结构体、matlab编程、matlab符号处理、matlab绘图、句柄图形、gui(图形用户接口)设计、simulink的建模与仿真、文件和数据的导入与导出等。其中重点介绍了matlab 的基础应用，以简练的语言和代表性的实例向读者介绍matlab的功?和使用方法，为初识 matlab 的用户提供指导。本书对matlab的常用函数和功能进行了详细的介绍，并通过实例及大量的图形进行说明。此外，本书每章都配有习题，辅助读者学习 matlab。(This book is divided into 12 chapters, including the introduction of MATLAB r2010a, basic use method, array and vector, mathematical operation of MATLAB Calculation, string, cell array and structure, matlab programming, matlab symbol processing, matlab drawing, handle graphics, GUI (graphical user interface) design, modeling and Simulation of Simulink, import and export of files and data, etc. It focuses on the basic application of MATLAB, introduces the functions and application methods of MATLAB to the readers with concise language and representative examples, and provides guidance for the users who first know MATLAB. In this book, the common functions and functions of MATLAB are introduced in detail, and illustrated by examples and a large number of graphics. In addition, each chapter of the book is equipped with exercises to assist the readers in learning Matlab.)

使用matlab实现最小二乘法拟合，首先要先确定拟合函数的形式(Least squares fit using matlab implementation, the first should determine the form of fitting function)

轻松利用hermite插值的GUI界面完成数据的操作，对数学计算和工程仿真都很重要(Easy use Hermite interpolation GUI interface finish data operation, the mathematical calculation and simulation are very important)

数据统计学习中的knn算法，实现对多组数据的交叉验证(Statistics Learning knn algorithm to achieve the multi-group cross-validation data)

pcm编码,基础通信编程通信原理应用，基于通信原理的matlab pcm编码应用(PCM coding, basic communication programming communication theory applications, based on communication theory matlab pcm coding applications)

element finder at domains

说明：  训练图片的方向梯度直方图特征，并保存为.m文件。实现单分类或多分类。(MATLAB HOG train. The orientation gradient histogram feature of the training image is saved as a .m file. Realize single classification or multiple classification.)

matlab实现的图像水平、垂直投影，可用于人脸检测。(failed to translate)