PQchaoliu

说明：  用matlab读取雷达基数据，并计算相关仰角等(Using MATLAB to read the radar base data and calculate the relative elevation)

遗传算法和模糊C-均值聚类相结合的MATLAB程序(Combination of genetic algorithms and fuzzy C-means clustering MATLAB program)

此程序是matlab中给出连续系统的s函数，给出了如何在simulink中建立一个变量，注释详尽，使用简单，其中的注释详细，自己可以对变量做相应的变换(This procedure is given in matlab continuous system s function is given how to create a simulink variables, comments, detailed, easy to use, which notes in detail that they can make the corresponding change of variables)

这是一种改进的粒子群优化算法，通过简单的测试函数验证(This is an improved particle swarm optimization, through a simple test function verification)

说明：  本程序是用来预测简单的时间序列的数据，欢迎大家一起来探讨学习(time series data of the prediction)

交互多模型算法基本框架，用于机动目标跟踪的程序源码(kalman filter and the basic procedural framework for the uniform straight line tracking)

说明：  自己写的小脑模型与单神经元并行控制程序，适合初学者研究或改进(Write their own models and single-neuron cerebellar parallel control program, suitable for beginners study)

读取xml，生成结构体，比系统自带函数方便简介，实用(Read the xml generated structure)

1、 降噪步骤： （1） 一维信号的小波分解。选择一个小波并确定分解的层次，然后进行分解运算。 （2） 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。 （3） 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。 matlab里面有关于去噪的函数，你可以找一下~~ 这说的只是基本原理，希望有所帮助(1, noise reduction steps: (1) one-dimensional signal wavelet decomposition. Select a wavelet decomposition level and determining, and then divide the operation. (2) high coefficient wavelet thresholding. For each decomposition scales have high coefficient selection threshold soft threshold quantization. (3) one-dimensional wavelet reconstruction. According to the lowest level of the low frequency wavelet coefficients and high frequency coefficients of each one-dimensional wavelet reconstruction. There are about denoising matlab function, you can find some ~ ~ This says just the basic principle, we hope to help)

文件包含Clarke和Jakes信道模型详细的理论推导与区别，并附有完整代码，可以清晰认识两种常见无线模型。(The file includes two main channel models: Clarke Model and Jakes Model. The author has deduced these two models in great detail. Simulation code is also added to the file. It is very ueeful for the beginner.)