基本蚁群算法的源代码

STM32 使用ADC4个通道检测电压值，DMA依次输出。(ADC4 STM32 channel DMA output.)

个推sdk 一个推送的sdk 可以试试看(A push SDK, a push SDK, you can try)

说明：  ADI公司的AD4111是具有±10V和0 mA至20 mA输入和明线检测功能的低功耗 24 位 Σ-Δ ADC,集成了模拟前端(AFE),还集成主要模拟和数字的信号调理区快,为每个模拟输入通路配置成八种单独建立图,最大通路扫描速率6.2 kSPS(161 μs),嵌入的2.5V低漂移(5 ppm/℃)能隙基准电压降低了外接元件数量,单电源5V或3.3V工作,工作温度?40℃ 到 +105℃,主要用在过程控制PLC和DCS模块.本文介绍了AD4111主要特性,功能框图以及评估板EVAL-AD4111SDZ主要特性,框图,电路图,材料清单和PCB设计图.(The AD4111 is a low power, low noise, 24-bit, sigma-deltaanalog-to-digital converter (ADC) that integrates an analog front end (AFE) for fully differential or single-ended, high impedancebipolar,10 V voltage inputs, and 0 mA to 20 mA current inputs. The AD4111 also integrates key analog and digital signalconditioning blocks to configure eight individual setups for each analog input channel in use. The AD4111 features amaximum channel scan rate of 6.2 kSPS for fullysettled data.)

延迟加载的，转发别人的，感觉不错，适合初学者使用的，可以了解下一部加载(Asynchronize of datagrid it fit newer)

AD9850 AD 9851 并行 串行控制程序 很好的资料 以前自己花钱买的啊 (AD9850 AD 9851 serial parallel data control procedures well before the own money ah)

将本站的UCOSFORAVR128V276版本升级到了280版，修正原来的中断定义错误，并仿真调试已通过。(UCOSFORAVR128V276 the site will upgrade to version version of the 280, that the interruption of the original definition errors, and debugging simulation has passed.)

文利用直接数字频率合成器(DDS)与CPLD技术和单片机控制技术，研制和 设计了高分辨率、高稳定度的函数信号发生(Wen using direct digital frequency synthesizer (DDS) and CPLD technology and single-chip microcomputer control technology, development and Design of high resolution, high stability function of the signal )

Documentation help Csharp Svg

Kernel-Based-Object-Tracking ============================ REQUIREMENTS:   + OpenCV 2.2 or above (originally developed on OpenCV 2.3.1)   + This a Visual Studio 2010 project with OpenCV 2.3.1 linked. To use on other platforms use only main.cpp with "conio" and "getch" removed. This project is the C++ implementation of kernel based object tracking as discussed by Visvanathan Ramesh, Dorin Comaniciu & Peter Meer in their paper "Kernel-Based Object Tracking". In this project the objects are represented by their color histograms weighted by isotropic kernel. Targets (or objects) are compared in subsequent frames to calculate Bhattacharya distance which is then used to move the tracked using mean shift. Ceck out the result video - http://youtu.be/Ng8H-mjs62Y

c++ kinectv2 vs2015 opencv3.1 win64 环境下kinectv2 SDK 开发的红外图像调用，代码简单易懂