SNR_singlech

灰色系统预测，灰色系统的预处理，关联度分析(Grey system prediction, gray system pretreatment, association analysis)

研 究了双目视觉测量系统的结构参数优化问题.对双目视觉测量的有效视场约束条件进行了数学 描述，建立了双目视觉坐标测量系统的数学模型.在考虑像点提取误差的条件下，利用误差理论建立了测量 误差模型，并基于待测量的视场范围要求，定义了测量系统结构参数的优化指标。最后，通过枚举法进行了 优化求解.(Studied binocular vision measurement system to optimize the structural parameters of the problem. For the effective measurement of binocular vision bound by the terms of field of view of mathematical description of the establishment of binocular vision coordinate measuring system mathematical model. In considering the error as the point of extraction conditions the use of error theory the establishment of measurement error model and measurement based on the field of view to be the scope of the requirements of the definition of the measurement system parameters to optimize the structure of indicators. Finally, the optimized enumeration method for solving.)

说明：  极限学习机是一种神经网络仿真，比BP,SWM学习速度更快，参数设置更容易(Extreme Learning Machine is a kind of neural network simulation, compared with BP, SWM learning faster, easier to set parameters)

手机键值测试包，将扩展名改为JAR即可安装，适用于所有机型(phone pair test kits, will be extended to be changed JAR can be installed in all models)

经典教材 数值计算matlab 源代码 (matlab code for numerical computation using matlab )

基于交叉验证法小波降噪程序，主要应用白噪声(Cross-validation method based on wavelet noise reduction program, the main application of white noise)

基于粗细定位相结合的车牌识别方法，有别于一般的车牌识别算法，有兴趣的可以研究一下哈～(Based on the combination of coarse and fine positioning plate recognition, license plate recognition algorithm is different from the general, interested can look at Ha ~)

pca算法的matlab程序，能够运行，方便修改。(Pca algorithm in matlab, and convenient operation can be modified.)

广义互相关函数求时间延迟,PHAT，SCOT等加权方式(GCC for TDOA，PHAT，SCOT)

《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法，以及主要算法的Matlab程序设计，主要内容包括（精确或非精确）线搜索技术、最速下降法与（修正）牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。(" Optimization Methods and Matlab programming" more systematic introduction to the basic theory and algorithms nonlinear optimization problem and the main algorithm Matlab programming, the main contents include (exact or non-exact) line search technique, the steepest descent method and (corrected) Newton method, conjugate gradient method, quasi-Newton method, trust region methods, solution of nonlinear least squares problems, constrained optimization problem optimality conditions, penalty function method, feasible direction method, quadratic programming problems The solution, the sequential quadratic programming method.)