moesp

说明：  Frequency Hopping Spread Spectrum 这是一个跳频信号的时频分析程序(Frequency Hopping Spread Spectrum is a frequency-hopping time-frequency analysis program)

主要是用于脉冲位置调制当中性能的仿真产生(Is mainly used for pulse position modulation performance simulation which generated)

MATLAB程序 1：MUSIC 算法MATLAB程序 2：ESPRIT 算法MATLAB程序 3：Root-MUSIC算法MATLAB程序 4：面阵中二维角度估计 Unitary -ESPRIT算法MATLAB程序 5：空间平滑MUSIC算法的MATLAB程序 6：角度和时延联合估计（JADE）算法MATLAB程序 7：传播算子DOA估计算法MATLAB程序 8：基于增广矩阵束的L型阵列的二维DOA估计MATLAB程序 (MATLAB program 1: MUSIC algorithm MATLAB program 2: ESPRIT algorithm MATLAB program 3: Root-MUSIC algorithm MATLAB program 4: two-dimensional planar array of point estimates Unitary-ESPRIT algorithm MATLAB program 5: spatial smoothing MUSIC algorithm MATLAB program 6: Joint angle and delay estimation (JADE) algorithm MATLAB program 7: The propagator DOA estimation algorithm MATLAB program 8: Based on the augmented matrix of the L-shaped beam of two-dimensional array, DOA estimation MATLAB program)

Image matching using FMT

张志勇的《精通MATLAB6.5》内容详细，是学习MATLAB编程人员值得参考的一本好资料。(Zhang Zhiyong, a " master MATLAB6.5" detailed and is worth considering to learn MATLAB programming staff of a good information.)

二级倒立摆的双pid控制，由simulink和m函数组成(Pid double inverted pendulum control)

模糊PID控制，能够自动调节PID参数，使系统控制达到最优。(Fuzzy PID control, can automatically adjust the PID parameters to achieve optimal system control.)

Some basic forwarding algorithm comparison

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)

2011 Dongcheng Teachers comptition