电池测试数据

matlab 图像处理，用于查找三维图形的峰值点，非常不错(matlab image processing, three-dimensional graphics used to find the peak point, very good)

以动画的方式绘制出对数螺线 的图形，并用一个红色小球来跟踪螺线展开轨迹 以及积分过程(Graphics animation way to draw a logarithmic spiral, and a small red ball to keep track of the spiral to expand the track as well as integrating processes)

CV1 - it is used for learnig work in matlab(CV1- it is used for learnig work in matlab)

MIMO 雷达RB波达方向CRB方面的源码，大家可以参考下(MIMO RADAR CRB onDOA for single target)

matlab GUI编程实例之归一化二阶系统演示界面设计。(matlab GUI programming examples of presentation interface design owned by one of the second-order system.)

二维方腔流动流函数涡量法.上边界为移动边界，cavity流动，涡量为负值。(Dimensional square cavity flow stream function vorticity law. On boundaries for the moving boundary, cavity flow, vorticity is negative.)

说明：  数字图像修复算法的评价标准也是从两个方面进行评价的，一个是修 复算法的效率，一个是修复后图像质量。修复算法的效率主要就是看修复 图像所用的时间，可以用时间就行量化。而图像质量很难从量上唯一的进 行评价，目前图像修复质量还没有统一的评价标准，从实际应用出发，修 复后图像质量的好坏大多数是从以下两个方面就行评价，修复后图像给人 主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair. One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair. The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only. At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people. Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)

hspice toolbox interface between hspice and matlab

matlab通信仿代码，在多种信道中的差异和编码问题(matlab communication Simulation code，In a variety of channel of differences and coding issues)

说明：  QR分解是球形MIMO检测算法必不可少的环节,本代码采用m语言描述了QR分解分解具体怎么实现,而不是直接调用matlab内部函数,采用的是QR分解的脉动阵列结构,据此代码可轻易实现QR分解的FPGA设计(QR decomposition is an essential part of the spherical MIMO detection algorithm, the code uses QR decomposition decomposition m language to describe specifically how to achieve, rather than a direct call matlab internal function, using the QR decomposition systolic array structure, pursuant to which the code can be easily QR decomposition FPGA design)