4Adaptive-frame-prediction

different matlab implementation of guided filter

PIECEWISE_EVAL: evaluates a piecewise function of x usage: y = PIECEWISE_EVAL(x,breakpoints,funs) arguments (input) x - vector or array of points to evaluate though the function breakpoints - list of n breakpoints, -inf and +inf are implicitly(PIECEWISE_EVAL : evaluates a piecewise function of x usage : PIECEWISE_EVAL y = (x, breakpoints, funs) arguments (input) x-vector or array of po ints to evaluate the function though breakpoin ts-list of n breakpoints.- inf and inf are implicitly)

实验matlab实验matlab实验matlab实验matlab(experimental matlab experimental matlabexperimental matlab experimental matlab)

在MATLAB中建立基于VSG控制方法下的孤岛模式下带负载稳定运行(The load stable operation with VSG control based on the island)

Mapper for QAM 2,4 and 6 bits, taking streams and mapping 2 symbols for Modulation

说明：  分析混沌系统，产生混沌系统的流，很多m文件(Analysis of chaotic systems to generate the flow of chaotic systems, and many m files)

ARMA model Calculates adaptive autoregressive (AAR) and adaptive autoregressive moving average estimates (AARMA)

两个数值实验的matlab编程实现。题目分别1是利用循环语句，计算数列根号5 ，根号下根号5 ，根号下根号下根号5…的极限，要求误差小于 10负8次方。 2利用级数pi=1-1/3+1/5-1/7+...可计算出无理数pi的近似值(Two numerical experiments matlab programming. Title 1 is the use of loop were calculated series roots and 5, roots and root number under 5, roots and root, root number under number 5 ... the limits of error of less than 10 required a negative 8th power. 2 using series pi = 1-1/3+1/5-1/7+ ... calculate the approximate irrational number pi)

当波导和介质偶合时,计算波传导过程中的透过率,反射率.(when waveguide coupling and the media, the calculation of the conduction process of transmittance, reflectance.)

用风电功率历史数据来对未来一段时间功率的数值进行预测，通过Matlab软件编程和Excel处理数据，用神经网络仿真预测法、灰度预测法、时间序列预测法通过历史数据所呈现出来的一些规律对某段时间的风电功率展开预测，预测之后对得到的数据进行误差分析，通过与一些标准的对比来确定预测方法的可靠程度(Using historical data to forecast wind power to the value to the future time power, by Matlab software programming and Excel data processing, neural network simulation and prediction of wind power law method, gray prediction method, time sequence prediction method based on the historical data are presented for a period of time after the start prediction, prediction the data are error analysis, by comparing with the standard to determine the degree of reliability prediction method)