ARMA

Example of key performance indicators applied on a real problem

计算高斯光束束腰半径调节compute guassian beam (compute guassian beam )

随机数发生器 此功能会产生连续的值（功法的文章中讨论的五个分布随机分布，指数，对数正态分布，拉伸指数，截止功法）。使用信息包含在文件类型的帮助randht在MATLAB提示符更多信息。 幂律分布拟合 这项功能同时实现的离散和连续的最大似然估计拟合幂律分布的数据，以及善良的合适的方法来估计缩放区域较低的截止。使用信息包含在文件类型的帮助plfit在MATLAB提示符更多信息。(This function is a random number generator will produce discrete values ​ ​ (power law discussed in five articles distributed random distribution, exponential, lognormal, stretching index cutoff power law). The use of information contained in the file type of help randht in MATLAB prompt for more information. Power-law distribution fitting This function implements both discrete and continuous maximum likelihood estimation fitting power-law distribution of data, and kind suitable method to estimate the scaling region lower cutoff. The use of information contained in the file type of help plfit in MATLAB prompt for more information.)

image Data set for image processing process like denoising....

雷达交叉定位精度分析，CRB界确定，寻求最远定位距离！(Radar cross positioning accuracy analysis, CRB sector determined to seek the farthest distance positioning!)

说明：  关于脉冲压缩的问题 。脉冲压缩的质量直接 影响雷达的探测性能。经典的脉冲压缩是通过匹 配滤波器来实现的[1 ] 。从本质上讲 ,脉冲压缩是对 发射信号的匹配滤波 ,但由于不同的目标回波信 号带有不同的多普勒信息 ,具有不确定性 ,所以它 只能是准匹配滤波(Pulse compression on the issue. Direct impact on the quality of pulse compression radar detection performance. Classical matched filter pulse compression is achieved by [1]. In essence, the pulse compression is a matched filtering the transmitted signal, but the different echo signals with different Doppler information is uncertain, it can only be quasi-matched filter)

被控对象在系统单神经元自适应PID控制下的阶跃响应，并和传统PID进行比较(Charged object in the step response of the system single neuron adaptive PID control and conventional PID to compare)

image watermarking method

产生高斯脉冲的十五阶导数，显示脉冲形成因子对其产生的影响(Gaussian pulses generated 15 derivative, showing pulse form factor on the impact)

广义交叉验证函数(GCV) 广义交叉验证函数是用随机的方法对于一个给定的值A的正则化参数的计算。(Generalized cross-validation function (GCV) generalized cross validation function is stochastic method for a given value A regularization parameter calculations.)