Understanding-Lte-with-MATLAB

软件调试方面的书籍，内容不错，而且只有100多页，便于学习，感觉还不错，与大家共同分享。(Software debugging of books, the content is true, and only 100 pages, easy to learn, feel pretty good, and everyone shared.)

关于一级倒立摆LQR+PID控制。包含源程序，simulink仿真模型等(On the inverted pendulum LQR+PID control. Including source program, Simulink simulation model, etc.)

数字图像处理中的数据分析，包括回归分析和概率统计(Digital image processing, data analysis, including regression analysis and probability and statistics)

说明：  最近看到有人提问怎样用FFT实现频谱分析，我认为能够进行到频谱分析的人，对于系统研究的深度基本上已经相当不错了。本人今天做了一个例程，发给大家参考一下。 历程主要内容(signal_analyzer.rar)如下： test1.txt 第一列为时间t，0.001s为步长；第二列为系统的输入信号；第三列为系统的输出信号。 signal_analyzer.m首先将test1.txt 的数据读入workspace，然后进行FFT，分析出两信号的频率，输出对于输入的幅值衰减（db），输出对输入的相位差。(The question was asked recently to see the realization of how to use FFT spectral analysis, I think that spectral analysis can be carried out to those who study the depth of the system basically is already quite good. Today I made a routine, distributed to Members for reference. The main contents of the course (signal_analyzer.rar) are as follows: test1.txt the first time as t, 0.001s for the step the second as the system input signal the third as a system output signal. signal_analyzer.m first test1.txt data read into workspace, and then proceed to FFT, analysis of the two signal frequency, output amplitude for input attenuation (db), the output of the input phase difference.)

一个MATLAB程序，用以产生多变量高斯随机过程的样本(A MATLAB program used to generate the samples for multivariate Gaussian random process)

基于恒模算法的自适应盲均衡，matlab代码( Implements the Constant-Modulus algorithm for COMPLEX valued data)

Convert Text To Bin Convert Bin To Text image use to increase KB to upload. Not neccessary

粒子群优化算法，可应用于处理图像相关搜索。代码是自己调试通过的。( Particle swarm optimization Search algorithm)

说明：  详细介绍 小型风力发电 系统设计 国外参考资料 附录有 详细硬件设计 比较经典(Details small wind power system the design foreign References Appendix hardware design classic)

实现了Gardner算法的仿真，可以直观的分析其实现同步的过程(Realize the simulation of Gardner algorithm ,and the process of synchronization can be analyzed intuitively.)