Matlab-CPP

说明：  通信系统中的CRC校验 降低误比特率 提高通信系统的执行效率(Communication Systems CRC, reduce the bit error rate the efficiency of communication systems)

matlab 解方程和最优化问题，希望广大学者朋友能用上(matlab solving equations and optimization problems, hope that friends can be used on the majority of scholars)

一个最速下降法源码，很有用，需要的赶快下。(a steepest descent algorithm source code, useful, it needs quickly under.)

use system identification toolbox in MATLAB to identify and estimate the model

说明：  交通视频采集后的图像预处理。由于硬件及环境等因素的影响，摄像头提取的图像不可避免地包含噪声，图像的质量会受到不同程度的失真。因此，我们要对采集到的视频序列进行图像的预处理。 车辆检测算法。概括性的分析了基于图像处理的几种常用的车辆检测算法：帧差法、光流法，总结了各种方法的优缺点，并采用背景差法对车流量进行检测。该算法自适应能力强，计算量小，可正确判断有无车辆、完成车辆计数，实现车流量计算，为交通监管系统提供实时有效的交通参数。 车辆计数。分析常用的车辆计数方法：虚拟线圈法和目标跟踪法。并结合具体的实际应用采用基于检测带的车辆计数方式。结果表明，该方法能很好的进行车流量统计。 (Image pre-processing traffic after video capture. Due to hardware and environmental factors, the camera inevitably contain the extracted image noise, image quality will be subject to different degrees of distortion. Therefore, we want to capture the video sequence image preprocessing. Vehicle detection algorithm. General analysis of several common vehicle detection algorithm based on image processing: frame difference, optical flow, summed up the advantages and disadvantages of each method, and using background subtraction to detect traffic flow. The algorithm is adaptive ability, a small amount of calculation can correctly determine whether the vehicle, the vehicle should count to achieve traffic flow calculation provides effective real-time traffic parameters for a traffic monitoring system. Vehicle counting. Analysis of common vehicle counting methods: virtual coil method and target tracking method. Combined with concrete and practical applications based on vehicle detection with )

Some source matlab code about image processing

说明：  matlab工具箱实例讲解 现在正在研究这个 希望有志同道合的可以相互学习(toolbox matlab examples to explain now look at the hope that like-minded can learn from each other)

resource alocation download and enjoy

给出一个逆变器具体的仿真实例，通过仿真 ，可以得出实际运行中的电压、电流的波形 (Give a concrete example of the simulation, the simulation can be drawn from the actual operation of the voltage and current waveforms)

最大选择恒虚警检测——GO-CFAR检测器：包括对于无目标、仅有噪声的信号进行GO-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的GO算法仿真。一些程序主要是为了绘图，画出GO-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算GO-CFAR检测过程中的检测概率和虚警概率。(GO-CFAR detectors: simulations of detection to signals with no target but noise only, as well as signals with target and the background of Rayleigh clutter. Some programs are aimed at giving pictures of the signals and detectiong threshold in the process of detection using GO-CFAR algorithm, while other programs are aimed at calculating the detecting rate and false alarm rate of GO-CFAR algorithm.)