压缩目的 基本原理 基本方法 图像编码标准 7.1 编码的目的 7.2 图像压缩的基本原理 7.3 编码器和典型的编码方法

1.1 图像的概念 1.1.1图像的分类 1.1.2图像信息的分类 1.1.3图像处理的基本方法 1.1.4数字图像处理的几个基本术语 1.2数字图像处理技术 1.3 数字图像处理的发展历程与主要应用领域 发展历程 不断拓展的应用领域 1.4 课程学习要求

I. Greetings II. Review Have a quiz III. Start the new lesson 1.Introduction This article talks about birth of bright ideas by the vividly paradigmatic methods After reading it, we have a new understanding about the mysterious question 2. Discourse analysis Part one (Paras.1-3)Opening remarks: All truly creative activities depend in some degree on the signals of the unconscious. Part two (Paras. 4-6) Discussing the birth of bright ideas with the example some famous persons

l Chapter 1-Key terms Collection, summarization, analysis, and reporting of numerical findings Statistics-Two Usages A. The study of statistics B. Statistics as reported sample measures

1.一组样本与总体的比较 2.两组样本的比较(成组设计) 3.两组样本的比较(配对设计) 4.单因素多组样本的比较(成组设计) 5.双因素多组样本的比较(配伍组设计) 6.三因素三组及以上设计(拉丁方设计) 7.三个或以上因素并交互作用(正交设计)

热分析(thermal analysis),顾名 思义,可以解释为以热进行分析的一 种方法。1977年在日本京都召开的国 际热分析协会(ICTA)第七次会议上, 给热分析下了如下定义:即热分析是 在程序控制温度下,测量物质的物理 性质与温度的关系的一类技术

Functional form e We' ve seen that a linear regression can really fit nonlinear relationships 2 Can use logs on RHS, LHS or both Can use quadratic forms ofx's Can use interactions ofx's e How do we know if we've gotten the right functional form for our model? Economics 20- Prof anderson

Dummy variables a dummy variable is a variable that takes on the value l or o Examples: male(= 1 if are male, O otherwise), south(=l if in the south, 0 otherwise), etc dummy variables are also called binar variables. for obvious reasons Economics 20- Prof anderson

Consistency e Under the Gauss-Markov assumptionS OLS IS BLUE, but in other cases it wont always be possible to find unbiased estimators o In those cases, we may settle for estimators that are consistent, meaning as n→>∞,the distribution of the estimator collapses to the parameter value Economics 20- Prof anderson

Parallels with Simple regression Bo is still the intercept B, to Bk all called slope parameters u is still the error term(or disturbance) Still need to make a zero conditional mean assumption, so now assume that E(lx,x2…,x)=0 Still minimizing the sum of squared residuals. so have k+l first order conditions Economics 20- Prof anderson