Pak-huda-DSP-Matlab-

极大似然估计法定位，对于TDOA测距时进行的定位，简单源代码，有锚节点存在的节点自定位(Maximum likelihood estimate for localization)

目标跟踪源程序 Matlab的。比较简单。方便初学者(Target tracking source Matlab. Is relatively simple. The convenience of beginners)

说明：  This code is used for trajectory tracking using PF.

用simulink搭建一个SSSC（静止同步串联补偿器）模型，其中的逆变器环节是H桥多电平逆变器调制策略采用载波移相pwm调制（SPWM），仿真在35kv输电线路，三节点以上，SSSC采用阻抗补偿模式，给出在容性补偿和感性补偿下的仿真结果。(Build a SSSC with the Simulink (SSSC) model, which is the link inverter H bridge multilevel inverter modulation strategy using carrier phase shifted PWM modulation (SPWM), simulation in 35kV Transmission line, more than three node, SSSC using impedance compensation model, the simulation results in the capacitive compensation and inductive compensation given.)

frost模型进行空时波束合成，增加了阵列的自由度，既可以处理宽带信号也可以进行窄带信号。(When frost empty beam synthesis model, the degree of freedom of the array, can handle both narrow-band signal may be a broadband signal.)

自适应模糊PID控制的仿真文件和模糊规制(Adaptive fuzzy PID control and fuzzy simulation of regulatory documents)

这是一个利用MATLAB的GUI编的长直导线周围电磁场的可视化程序。(This GUI provides a visualization of the electromagnetic field induced by a current flowing in a straight wire. The tool also shows the current induced by a rectangular coil that is placed inside the electromagnetic field. The current is calculated using Ampere s Law and the Biot-Savart Law. This demo was created for educational demonstrations. The user can modify the size and position of the coil, as well as the resistance. The current waveform and magnitude can also be specified.)

阵列信号对波达方向估计（DOA）的经典算法——MUSIC算法(Array signal to the wave of direction estimation (DOA) algorithm, the classical MUSIC algorithm)

实现数字接收机的基本功能,包括信道均衡，载波恢复，同步恢复，匹配滤波器等(The basic functions of digital receivers，Including channel equalization, carrier recovery and synchronization recovery, the matched filter )

七单元天线阵MUSIC DOA估计： d=1 ， 天线阵元的间距； lma=2， 信号中心波长； 四输入信号； A=[A1,A2,A3,A4]， 得出A矩； 四信号的频率d=[1.3*cos(v1*n) 1*sin(v2*n) 1*sin(v3*n) 1*sin(v4*n)] 构造输入信号矢量 U=A*d 总的输入信号 总输入信号的协方差矩阵 [s,h]=eig(c) 求协方差的特征矢量及特征值 取出与零特征值对应的特征矢量 求协方差矩阵的逆矩阵 应用Music法估计输出 绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* ⁢ sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues ​ ​ characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)