classifier

CHAN算法的仿真源代码.条件为基站三到七个.服从高斯分布,无非视距传播.... (CHAN simulation algorithm source code. Conditions for the base station 3-7. Obey the Gaussian distribution, the spread of no more than line-of-sight ....)

说明：  利用IIR滤波器设计一个低通滤波器，能够分析到电力系统中的三次谐波，要求满足如下指标：截止频率150HZ，阻带衰减≥30db(IIR filter design using a low-pass filter, to analyze the power system in the third harmonic, the requirements to meet the following indicators: cut-off frequency 150HZ, stopband attenuation ≥ 30db)

One dimensional problem in class (nonlinear) Geometry: A=1, uniform cross-section L=2, total length of bar BC at x=0, u=0 BC at x=L, f=3.75 Material : nonlinear elastic E=10 sigma=E*(epsilon+epsilon^3)

进退法、0.618法、Powell法、罚函数法的程序设计, 用matlab编写，解优化问题(advancing and regressing method、0.618 method、Powell method、penalty function method, write in matlab, solve optimized problems.)

说明：  MATLAB的C++数学使用手册（详尽）(MATLAB to C++ Math User' s Manual (detailed))

本文介绍了动态规划的基本思想和基本步骤，通过实例研究了利用动态规划设计算法的具体途径，讨论了动态规划的一些实现技巧，并将动态规划和其他一些算法作了比较，最后还简单介绍了动态规划的数学理论基础和当前最新的研究成果。(This article describes the basic idea of dynamic programming and the basic steps, through the case study design algorithm using dynamic programming of specific channels to discuss some of implementation of dynamic programming techniques, and dynamic programming and other algorithms are compared, finally a brief introduction The mathematical theory of dynamic programming based on the latest research results and current.)

极大似然估计器用于简单通信系统模拟,估计A1,A2: s1 = x11*A1 + x12*A2 s2 = x21*A1 = x22*A2 r1 = s1 + n1 r2 = s2 + n2(Maximum likelihood estimator for a simple communication system simulation, it is estimated that A1, A2: s1 = x11* A1+ x12* A2 s2 = x21* A1 = x22* A2 r1 = s1+ n1 r2 = s2+ n2)

状态模型的极大似然估计，使用EM算法，以及卡尔曼滤波。(This supplementary note discusses the maximum likelihood esti-mation of state space models using Expectation-Maximization (EM) algorithm and bootstrap procedure for statistical inference. A Matlab program script implement-ing the Kalman ¯ lter, Kalman smoother and EM algorithm)

A source code in matlab for pso(particle swarm intelligent)

采用改进的启发式搜索粒子群算法进行非线性寻优 具有比较好的效果(The improved heuristic search PSO nonlinear optimization has better results)