EnergyNormalizationCepSpec

说明：  电子科技大学的一篇关于多传感器融合的好文章,请站长审阅(University of Electronic Science and Technology of multi-sensor fusion on a good article, please review head)

THIS IS ABOUT JULIA SET COSTRUCTION

matlab code for histogram equilizatiion

Detection of qpsk signals

maltab语言编写的MIMO仿真程序。程序中采用双天线发射，单天线接收，通过瑞利信道，计算误码率并绘图。(maltab language MIMO simulation program. Procedures used in the dual-antenna, single-antenna receiver, through the Rayleigh channel, bit error rate calculation and drawing.)

compar equivalent circuit and waveguide filter

李耀锟：网上的例子虽然很多，但是大部分是介绍PDE工具箱自带的一些例子，这些例子中解的区域，边界条件是PDE工具箱已经编写好的，直接调用就可以。对于该如何自己设定求解区域及边界条件，却很少有人涉及。网上搜索发现只有刘平在博客中详细介绍过求解区域的设定。下面以一个椭圆型方程的例子来详细说明求解的各个步骤，希望对大家能有所帮助。(An elliptic equation numerical method with matlab)

matlab implemetaion of OCR

最近在书上找的一个程序，可以对微分方程的解法使用(Themselves in line to see a square root to be evaluated on, you can refer to the following)

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)