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simple gaussian pulse matlab simulation with PEC boundaries

最优化计算一书中无约束多维优化问题源代码，已通过测试，可直接运行！(Optimization calculation of a book unconstrained multidimensional optimization problem source code has been tested and can be run directly.)

使用统计中值法，获取背景图像。简单易懂，希望对大家有帮助。(Using the statistical value method, to obtain the background image. Easy to understand, we hope to help.)

电机控制程序，用来提取电机的定子电流转子槽谐波，来计算电机转速和温度(The motor control program, used to extract the motor stator current harmonic rotor slot, to calculate the motor speed and temperature)

说明：  高尚版本的粒子群算法源代码，用MATLAB编写(High version of Particle Swarm algorithm source code written with MATLAB)

输入信号五个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，得到识别出的信号类别，本例为2PSK, 4PSK, GMSK, OQPSK, pi/4DQSK中的一个，还可以看Art网络的扩展性。(input signal instantaneous information on five characteristics : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, the identification of signal type, The cases of two PSK, 4PSK, GMSK, OQPSK, pi/4DQSK of one, Art can be viewed network scalability.)

基于Markov方法的风机出力预测方法，具有较强的可转换性(The method of wind power forecast using Markov)

运用matlab编程语言，实现利用Householder变换和Givens变换求解矩阵的QR分解(Use matlab programming language, the realization and the Givens transformations using the Householder transformation matrix QR decomposition to solve)

LLVM: A Compilation Framework forLifelong Program Analysis & Transformation. 2004 International Symposium on Code Generation and Optimization (CGO’04)

说明：  对三节点系统的状态估计程序，有详细注释。(Detailed comments are given on the state estimation program for three-node systems)