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shiyanbaogao dajia manman de zhuanxin de kankan ba xiwangduidajia youhaochu xiexie (shiyan)

conversion of image into data

Function pack to do composite calculations in Matlab.

this delay and summ function in an beam techniques

说明：  并网逆变器通常采用L滤波器，虽然结构和控制简单，但是随着功率级别的增加会地带来体积重量增大等问题。LCL滤波器适用于功率较大的场合。(Grid-connected inverters usually use L filters. Although the structure and control are simple, problems such as volume and weight increase with the increase of power level. The LCL filter is suitable for occasions with large power.)

说明：  实现基2FFT的算法，包括数据分析报告，Matlab实现界面友好。(To achieve the base 2FFT algorithms, including data analysis, Matlab to achieve user-friendly.)

四个用C写的，用于处理ENVISAT卫星SAR数据的程序。(Here we have 4 c programs to handle ENVISAT data.)

matlab coce for generate MSK modulation.

基于二阶或更高阶统计方法的MIMO系统频域盲辨识(Based on second-order or more higher-order statistics method of frequency domain blind MIMO system identification)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m---- Monte Carlo method. 氀椀渀最樀椀愀渀.m Part initial value, using the Monte Carlo method to calculate the total cost. The preparation of their own normal distribution random number generator to generate normally distributed random numbers. lingjian.m is the first practice of the Monte Carlo method. accyouhua calibration value the function lingjian not a function, which gives the value of a set of calibration values. Annealing to determine the calibrated value/unitanneal ()---- Simulated Annealing 吀栀攀 continuous multiple variables combinatorial optimization problems 吀栀椀猀 is an exercise of the simulated annealing method, the results show that the simulated annealing is an effective method. 圀栀攀渀 the parameter selection is better (generally accompanied by a longer running time), simulated annealing results, however using MATLAB FMIMCON () generally achieve higher accuracy.)