Commande_Vec

试验，使用兰特X次生成相同的价值观，兰特（1，X）的(Tests that using rand X times generates the same values as rand(1,X))

本程序为无迹卡尔曼滤波(ukf)的程序代码，可供初学者学习。(The procedures for unscented Kalman filter (ukf) code, for beginners to learn.)

说明：  微网模糊控制，含原理图,混合储能作为一种可 调度资源应用于直流微电网系统 (Micro network fuzzy control, including schematic diagram.Hybrid energy storage as a kind of scheduling Ksource applied DC micro grid system )

基于LMS.MVDR的波束形成函数库，并有例子说明。(beamforming1)

curvelet变换的经典快速工具箱，不够20个字(curvelet transform classic fast Toolbox)

通过仿真产生频率调制信号，并对其频谱特性进行分析()

根据硕士论文编写，在DV-hop基础上对平均每跳距离做了修正，效果比原始算法好的多。(According to the master s thesis writing, on the basis of DV- hop made a correction, the average jump distance effect is much better than the original algorithm. )

本程序是基于LeventCode平台作的。 ---包括以下方法： BivaShrink方法、模型1、模型2、模型3（TrivaShrink方法）、BayesShrink方法、LAWMLShrink方法的DWT实现和DT_CWT实现。(This procedure is based on the LeventCode platform for the. --- Including the following methods: BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink method, LAWMLShrink method of DWT implementation and DT_CWT achieve.)

适用于turbo码的rsc编码器matlab实现(a rsc encoder for turbo)

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 )