水果俄罗斯方块

说明：  图像检索的的基于语义的图像检索 纹理图像检索 图像的特征提取方法(Image Retrieval of semantic-based image retrieval image retrieval image texture feature extraction methods)

dsp实现无限冲激响应滤波器(IIR)算法，低通巴特沃斯滤波器在其通带边缘1kHz 处的增益为-3dB，12kHz 处的阻带衰减为30dB，采样频率25kHz(dsp Infinite Impulse Response Filter (IIR) algorithm, low-pass Butterworth filter gain in its passband edge at 1kHz-3dB 12kHz at the stop-band attenuation of 30dB, the sampling frequency of 25kHz)

这是一个较为精炼的汽车管理系统 操作简单 快捷方便 希望您能够采纳后开通我的会员。(This is a more refined vehicle management system operation simple and convenient want you to adopt my membership after the opening.)

说明：  c8051f041定时中断的程序，绝对正确，相比例程中没设置页。实现小灯的闪烁(interrupted from time to time c8051f041 procedures, absolutely right, compared with no routine in the Settings page. Small lights flicker)

Visual C#显示选择的DataGridView单元格，获取DataGridView控件中选定的单元格、行和列，测试前请连接好数据库，实现此功能核心代码如下： 　　if (customersDataGridView.AreAllCellsSelected(true)) 　　{ 　　 MessageBox.Show("所有单元格已经被选择！", "信息提示",MessageBoxButtons.OK); 　　} 　　else 　　{ 　　 System.Text.StringBuilder MyInfo =new System.Text.StringBuilder(); 　　 for (int i = 0; 　　 i < MyCount; i++) 　　 { 　　 MyInfo.Append("行号: "); 　　 MyInfo.Append(customersDataGridView.SelectedCells[i].RowIndex.ToString()); 　　 MyInfo.Append("， 列号: "); 　　 MyInfo.Append(customersDataGridView.SelectedCells[i].ColumnIndex.ToString()); 　　 MyInfo.Append("， 单元格值: "); 　　 MyInfo.Append(customersDataGridView.SelectedCells[i].Value.ToString()); 　　 MyInfo.Append(Environment.NewLine); 　　 } 　　 MyInfo.Append("一共选择了: " + MyCount.ToString()+"个单元格"); 　　 MessageBox.Show(MyInfo.ToString(), "信息提示", MessageBoxButtons.OK); 　　}

基于STM32F103C8T6单片机LCD1602的四线(Four-wire LCD1602 based on STM32F103C8T6 MCU)

数据结构基础，以c语言为基础，含有数据结构基础大类(Data structure foundation, based on c language, contains a large class of data structure)

该编程使用VC++编写代码,该编程主要作用便是将灰度图像的各灰度值统计出来,以方便对该灰度图像的了解 (The programming code using VC++ The main role is to be programmed for each grayscale image gray value statistics out to facilitate the understanding of the gray image)

BP神经网络的C语言的实现方法，原始代码(C language of BP neural network)

1.直接生产劫持对象文件 2.侦察可能劫持成功的对象(获取运行中的进程，列出其dll 选择劫持)(1. Direct production of hijacked object files 2. Detection of possible hijacked successful objects (get running processes, list their DLL selection hijacking))