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DSP音频处理示例The benefits of real-time analysis provided by DSP/BIOS are often required in programs that were engineered without it. When the program is not built from the ground up using the DSP/BIOS kernel and real-time analysis features, the lack of familiarity prevents engineers from reaping t ...

LVQ学习矢量化算法源程序 This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The LVQ program accepts input consisting of vectors ...

一个j2me游戏代码，使用Jbuilder + Mobile set 编译

This example program shows how to configure and use the A/D Converter of the following microcontroller: STMicroelectronics ST10F166 After configuring the A/D, the program reads the A/D result and outputs the converted value using the serial port. To run this program... Build the project (Project ...

abel Tool Sample Requires: Visual Basic 6 and MapObjects 2.x Data: redlands.shp (Redlands sample data set from MO 2.x) Interactive Labeling Tool If the check box is checked, then the mouse down location will search for the closest line, and label it with the street name. If the check box is not ch ...

java产生的一个分形图形，就是所谓的Mandelbrot set

这是 用C++编写的员工培训系统 用户要修改程序源码可以选择相应的.h和.cpp文件，本实例使用的命名规则基本是：DIALOG_***** 为管理对话框资源， *****Info为数据输入窗口资源， *****Set为结果集对应的类

这是sun公司的程序员考试书籍（英文版的pdf） 还有模拟考试安装盘，和视频！我将稍后发布！ READ THIS AGREEMENT CAREFULLY. IF YOU AGREE TO ALL THE TERMS AND CONDITIONS SET FORTH BELOW AND ARE WILLING TO BE LEGALLY BOUND BY THEM, PRESS THE I AGREE BUTTON TO CONTINUE WITH THE SETUP. IF YOU DO NOT AGREE TO S ...

SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（ ...

FCMDEMO displays a GUI window to let you try out various parameters in fuzzy c-means clustering for 2-D data. You can choose the data set and clustering number from the GUI buttons at right, and then click "Start" to start the fuzzy clustering process.