记录电脑日志

滤波误差分析 详细介绍卡尔曼滤波的相关误差因素影响(Kalman)

种基于Unit-Linking PCNN和HSI空间的彩色图像分割新方法。(Species based on Unit-Linking PCNN and the HSI space for color image segmentation new approach.)

从文件读取固定格式的员工信息，并创建哈希表。 并具有插入、浏览、删除、修改等功能编辑员工信息。(Read staff information in a fixed format from a file and create a hash table. It also has functions of insertion, browsing, deletion and modification to edit employee information.)

【1】对远程计算机文件管理：模枋Windows 资源管理器，可以对文件进行复制、粘贴、删除，重命名、远程运行等,可以上传下载文件或文件夹,操作简单易用。 【2】远程控制命令：查看远程系统信息、剪切板查看、进程管理、窗口管理、插件功能、服务管理、共享管理、代理服务、MS-Dos模拟！ 【3】捕获屏幕：不但可以连继的捕获远程电脑屏幕，还能把本地的鼠标及键盘传动作送到远程实现实时控制功能！ 功能 【4】视频监控，可以监控远程控制头！,还有语音监听和发送功能！ 【5】telnet(超级终端). 【6】语音监听和发送!可以和远程主机进程语音对话!([1] on the remote computer file management mode: Fang Windows explorer, can copy files, paste, delete, rename, remote operation, you can upload and download files or folders, easy to use. [2] remote control commands: View remote system information, clipboard view, process management, window management, plug-in function, service management, sharing management, agent service, MS-Dos simulation. [3] capture screen: not only can capture the remote computer screen continuously, but also transmit the local mouse and keyboard to remote to achieve real-time control function. function [4] video surveillance, can monitor remote control head! And voice monitoring and sending functions! [5] telnet (super terminal). (6) voice listening and sending! Can talk to the remote host process voice dialogue!)

练习功能 练习功能 练习功能 -ddddfafafafafaf

关于isight工程实例，与ansys集成，实用性强(About iSIGHT project example, practicability is strong.)

我的这个是S3C44B0键盘结构化代，测试OK-This is my keyboard structured S3C44B0 generation, test OK

51单片机为核心，DS18b20温度传感器，DS1302 时钟，1602显示(51 microcontroller core, DS18b20 temperature sensors, DS1302 clock, 1602 show)

su是较常用的地震处理开源软件，对其源码理解掌握后，便于我们能更好的利用好，使用好该软件。(there are useful codes for seismic workers.)

这是一个语音识别提取特征参数的例子，提取lpcc和lpc特征参数并且计算了短时能量，这个是用来检测哭声可以使用的lpc-lpcc-short-time-energy(This is an example of speech recognition extraction feature parameters, extracting lpcc and lpc feature parameters and calculating short-term energy, which is used to detect the use of crying sounds.)