Nonlinear-time-series

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

在主程序中实现输入输出，分别输入一个整数a和一个实数b作为底数，再输入一个整数m作为指数，输出am和bm。(Realized in the main input and output, respectively, enter an integer a and b as the base of a real number, then enter an integer m as an index, output am and bm. .)

很好的一个压缩感知程序压缩感知程序(a very good Compressed sensing program )

Another wxample of viterbi alg. with simple example to learn

it shows the Antenna Directivity Pattern by using matlab

超宽带通信压缩感知信道估计与信号检测方法(Ultra Wide-Band Channel Estimation and Signal Detection Through Compressed Sensing )

matlab解用分支定界法解整数规划的程序。请大家参考(matlab solution using branch and bound method for solving integer programming procedures. Please refer to)

使用matlab实现有限元方法求解各种问题。(Calculated using the finite element method using matlab.)

减采样实例 增采样实例 线性插值实例 改变采样率实例(Reduce the sampling instance By sampling instance Linear interpolation examples Instance of changing the sampling rate)

rbfnn算法用于长期预测，效果较好。rbfnn算法用于长期预测，效果较好。(rbfnn algorithm for long-term projections, the effect is better. rbfnn algorithm for long-term projections, the effect is better.)