mainprog

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.

考虑出生率、死亡率、迁移率及居民年龄分布的人口预测程序(Population forecast program considering several factors including fertility, mortality, migration rates and age structure)

triphase pulse width modulation

RELAX算法，参数化谱估计（线谱）_RELAX方法(RELAX algorithm, parametric spectral estimation (line spectrum) _RELAX method)

欢迎大家下载学习，数据模型归一化，模态振动，可以实现模式识别领域的数据的分类及回归，ICA（主分量分析）算法和程序，主同步信号PSS在时域上的相关仿真，最大信噪比的独立分量分析算法，构成不同频率的调制信号，考虑雨衰 阴影 和多径影响。( Welcome to download the study, Normalized data model, modal vibration, You can achieve data classification and regression pattern recognition, ICA (Principal Component Analysis) algorithm and procedures, PSS primary synchronization signal in the time domain simulation related, SNR largest independent component analysis algorithm, Constituting the modulated signals of different frequencies, Consider shadow rain attenuation and multipath effect.)

Question 1.2 Sullivan

说明：  This is code to simulation of AM, FM, PSK, QAM modulation

this is vlsi course material

说明：  MATLAB实现元胞自动机实现交通流，仿真(Realization of Traffic Flow by Cellular Automata)

说明：  Stateflow是MATLAB提供的一种基于有限状态机理论的图形化建模和仿真工具。本文介绍了Stateflow的重要概念和基 本用法(Monitoring System )