finefrequencyoffest

machine learning中最经典的图书(The most classic machine books learning)

带可调渐消因子的无迹卡尔曼滤波程序MATLAB仿真实例(With adjustable fading factor unscented Kalman filtering procedures MATLAB simulation examples)

this is chapter 2 this is chapter number 2

一篇关于Lorenz chaotic systems同步性的仿真(Lorenz chaotic systems)

说明：  卡尔曼滤波实验和卡尔曼时间预测 包括从gps数据中读取经纬度(Time Kalman filter and Kalman prediction experiments, including data read from the gps latitude and longitude)

信号检测中采用Bayes准则求最佳判决门限的影响因素观察(Signal detection using Bayes factors observed criteria for the best decision threshold)

一、穆勒矩阵构成 穆勒矩阵是一个4*4的矩阵，完整描述了介质的偏振属性。可通过水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R入射，并分别探测水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R出射情况下的能量值，即16种偏振态组合下的强度结果，HH/ HV/ HP/ HR，PH/ PV/ PP/ PR，VH/ VV/ VP / VR和RH/ RV/ RP/ RR。进而Mueller矩阵可按照公式（1）计算得到：(First, the Muller matrix The Muller matrix is a 4*4 matrix that completely describes the polarization properties of the medium. The horizontal line, vertical line polarized light polarized light H V, 45 degrees P linearly polarized light, right circularly polarized incident detection and R, respectively, H vertical horizontal line polarized light polarized light V, 45 degrees P linearly polarized light, right circularly polarized light R emitted under the condition of energy intensity results of 16 kinds of polarization combinations HH/ HV/, HP/ HR, PH/ PV/ PP/ PR VH/, VV/ VP and RH/ RV/ RP/ RR / VR. Furthermore, the Mueller matrix can be calculated according to formula (1):)

三相PWM逆变器，采用双闭环控制，内环电流，外环电压~~~~(Three-phase PWM Inverter with Double Closed Loop Control)

包含分布式电源的配电网无功优化，EI论文程序，摘要：将能够提供无功功率的分布式电源与传统的电压调节手段相结合，研究了包含分布式 电源的配电网无功优化问题。(Reactive Power Optimization for Distribution System With Distributed Generators)

自己编写的QPSK调制与解调，内含matlab-figure-file、matlab-M-file和得出的jpg格式图形！(I have written QPSK modulation and demodulation, containing matlab-figure-file, matlab-M-file and come to the jpg format graphics!)