psat

：通过对数字信号处理课程的改革，增加了DSP系统的设计和开发的课程，拓宽高校电子工程类专业学生在DSP方面的知识，进一步培 养他们的动手能力和创新能力。该课程实验中需要使用到初学者开发套件——美国1rI公司的TMS320C5402DSK。本文将重点介绍该DSK板的硬件体系，并且简要介绍了与该硬件体系相对应的CCS2．0限制版集成开发环境，并进一步讨论了在此套件基础上所开设的一系列DSP实验内容。(The course of design and development of DSP system is appended during the teaching reform of Digital Signal Processing．This course can expand the E．E．undergraduates’knowledge of digital signal processor．Therefor．their practical ability and innovation idea are enhanced．TS320C5402 developer start kit provided by Texas Instruments Company iS introduced in this paper．Its hardware structure and soft— ware development environment(Co de Co mposer Studio 2．0 limited)are discussed in details．The content of experiments based on this DSK iS presented furthermore)

一个IEEE802.11b的实用例程，供大家参考。以5.5Mbps 为例。(5.5 Mbps CCK Simulation using specs from IEEE 802.11b, No guarantees and warantees!)

合成孔径雷达系统MATLALB模拟实现源码。(Synthetic aperture radar systems MATLALB simulation source.)

用于基于图像纹理特征提取的图像检索，其中包括matlab中自带的graycomatrix和graycoprops两个m文件，和四个用于提取图像纹理特征及图像检索的m文件(For image retrieval, including matlab comes graycomatrix, and graycoprops two m files, and four m-files used to extract image texture features and image retrieval based on image texture features extracted)

本程序为扩展卡尔曼滤波(ekf)的程序代码，可以供初学者学习。(This procedure is extended Kalman filter (ekf) code, for beginners to learn.)

说明：  可以修改文字的颜色、大小、字体。还可以对文字的方格和粗细进行设定。(You can modify the text color, size, font. The text can also be configured grid and thickness.)

k分布累积分布函数的程序和生成任意一元连续分布随机数(The distribution of K cumulative distribution function of the program，and generate a continuous distribution of random numbers)

this is for bit plane mapping... it produces 7 outputs with bit plane....

RBF配点求解微分方程是一类新方法，程序给出了RBF（采用的径向基函数是MQ函数）求解一维微分方程实例。(RBF (Multi-quadric function) method to solve the one dimentional differential equation.)

A matlab implementation of SVM for multiclass learning. For more information: Xiao Cai, Feiping Nie, Heng Huang, and Chris Ding. Multi-Class L2,1-Norms Support Vector Machine. IEEE International Conference on Data Mining (ICDM), Vancouver, Canada, 2011.