使用TFTP服务器 通过命令重启无线AP， 按键盘“f”键进入Uboot模式 setenv ipaddr xxx.xxx.xxx.xxx ‘设置无线AP地址 setenv serverip xxx.xxx.xxx.xxx 'TFTP服务器地址 update system xxxxxxxxxx.bin '升级文件完整文件名

使用TFTP服务器 通过命令重启无线AP， 按键盘“f”键进入Uboot模式 setenv ipaddr xxx.xxx.xxx.xxx ‘设置无线AP地址 setenv serverip xxx.xxx.xxx.xxx 'TFTP服务器地址 update system xxxxxxxxxx.bin '升级文件完整文件名

The theory and practice of finance draws heavily on probability theory. All MBA programs prepare finance majors for their career in the profession by requiring one generalist course in probability theory and statistics attended by all business majors. While several probability distributions are covered in the course, the primary focus is on the normal or Gaussian distribution. Students find it easy to understand and apply the normal distribution: Give them the expected value and standard deviation and probability statements about outcomes can be easily made. Moreover, even if a random variable of interest is not normally distribution, students are told that a theorem in statistics called the Central Limit Theorem proves that under certain conditions the sum of independent random variables will be asymptotically normally distributed. Loosely speaking, this means that as the number of random variables are summed, the sum will approach a normal distribution. Armed with this rudimentary knowledge of probability theory, finance students march into their elective courses in finance that introduce them to the quantitative measures of risk (the standard deviation) and the quantitative inputs needed to implement modern portfolio theory (the expected value or mean and the standard deviation). In listing assumptions for most theories of finance, the first assumption on the list is often: “Assume asset returns are normally distributed.” The problem, however, is that empirical evidence does not support the assumption that many important variables in finance follow a normal distribution. The application of the Central Limit Theorem to such instances is often inappropriate because the conditions necessary for its application are not satisfied. And this brings us to the purpose of this book. Our purpose is fourfold. First, we explain alternative probability distributions to the normal distributions for describing asset returns as well as defaults. We focus on the stable Paretian (or alpha stable) distribution because of the strong support for that distribution that dates back four decades to the seminal work of Benoit Mandelbrot. Second, we explain how to estimate distributions. Third, we present empirical evidence rejecting the hypothesis that returns for stocks and bonds are normally distributed T and instead show that they exhibit fat tails and skewness. Finally, we explain the implications of fat tails and skewness to portfolio selection, risk management, and option pricing. We must admit that our intent at the outset was to provide a “nontechnical” treatment of the topic. However, we could not do so. Rather, we believe that we have provided a less technical treatment than is provided in the many excellent books and scholarly articles that deal with probability and statistics applied to finance and risk management. The book is not simple reading. It must be studied to appreciate the pitfalls that result from the application of the normal distribution to real-world financial problems.

对SD卡读写经行测试，针对Fat文件格式！

uC/FS用户手册V1.34a.pdf （加书签和注释，英文版） uC/FS程序代码版本是Software Version 1.34a FAT文件系统

华为AP6050DN Fat&CloudAP6050DN_V200R019C00SPC912固件

华为4030DN最新FAT固件（包含FAT FIT两个版本）V200R019C00SPC910

FAT32文件系统您一定不会陌生，最多看到它是在windows操作系统里，但在一些嵌入式产品（如手机、MP3、MP4等）中，也能看到它的身影。从某种意义上来讲，FAT32文件系统是非常成功的，使我们可以脱离底层储存设备驱动，更为方便高效地组织数据。给单片机系统中的大容量存储器（如SD卡、CF卡、硬盘等）配以FAT32文件系统

AP3030DN-FAT-V200R006C20SPC800

AD9430DN-12-FAT&CLOUD-V200R019C00SPC909