kalman

用混沌微粒子算法整定PID控制器matlab的代码(Chaos particles with PID controller tuning algorithm matlab code)

利用MP,OMP,COSAMP算法处理一维信号比较(comparative of compressive sensing using mp，omp，cosamp )

GUI摩斯码转换器，实现摩斯码与英文的相互转换并发出声响(GUI Morse code converter)

实现mean shift 均值漂移的基本的MATLAB算法 带有部分注释(Mean shift to achieve the basic mean shift algorithm with some of the MATLAB Notes)

说明：  图4.7给出了V=4，相位集合的相位数分别为P=1、2、4、8时的随机分割的PTS-OFDM系统的CCDF的性能图。仿真参数：分割方法为随机分割，子载波数N=128，子载波数据采用QPSK调制，仿真的OFDM符号数为1000个。(Figure 4.7 shows the V = 4, the phase of the collection phase, respectively P = 1,2,4,8 were separated when the PTS-OFDM system performance CCDF graph. Simulation parameters: Segmentation of random division, the number of subcarriers N = 128, sub-carrier data using QPSK modulation, simulation of the OFDM symbol number 1000.)

An example of the German enigma encryption technology COOL

本程序介绍了卡尔曼滤波器在雷达跟踪问题上的应用。通过对雷达测得的距离及方位角参数的估计和预测，较好地实现了雷达对目标的跟踪，说明卡尔曼滤波器在自主或协助导航领域中具有重要的现实意义。(This procedure describes the radar tracking Kalman filter in question on the application. Measured by radar distance and azimuth parameter estimation and forecasting, to better achieve the target tracking radar, indicating the Kalman filter in autonomous or assisted navigation has important practical significance.)

用于计算MDL，最小描述距离。用于最小描述距离的计算，可以用于最优化过程(Used to calculate the MDL, Minimum Description distance. Used to describe the minimum distance calculations can be used to optimize the process)

OFDM 链路的MATLAB仿真，其中使用LDPC编码，具有参考价值(Matalab simulation of OFDM system while using LDPC as channel coding)

只是一个关于用共轭梯度下降算法处理数据的程序，本程序处理的数据对象为MINST,该程序在线性搜索上有很好的效果(Only one on the use of conjugate gradient descent algorithm data processing procedures, the procedures for processing the data object is MINST, linear search for the program have a good effect on)