Intelligent-Control-of-matlab

在MATLAB平台下，利用龙贝格公式和高斯公式，求解数值积分，源码(In the MATLAB platform, using Romberg formula and the Gauss formula, solving numerical integration, source code)

说明：  详细介绍用MATLAB解线性方程组，简单介绍(Details of Linear Equations with MATLAB, a brief introduction)

使用基于状态空间的模型预测控制，对四旋翼模型进行控制，实现了稳定的控制效果。并且有simulink模型作为参考。(Using the model predictive control based on state space, the four rotor model is controlled to achieve a stable control effect. And there are Simulink model as a reference.)

matlab_workshop channel coding

matlab-simulink教程，介绍matlab中simulink的使用方法，有简单的例子(Matlab-Simulink tutorial to introduce the use of matlab simulink simple example)

上述程序是美国RICE大学的一个学生编写的用于压缩感知的恢复算法，可以实现很多模型的稀疏恢复，包括BP，l1,l2,l1-l2混合型等比较多的类型(The above procedure is a student of the University of the United States RICE prepared for compressed sensing recovery algorithm can achieve a lot of model sparse recovery, including BP, l1, l2, l1-l2 hybrid more types)

用MATLAB编写的RBF神经网络程序，能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性.(Using MATLAB RBF neural network program that can approximate any nonlinear function that can handle difficult analytic regularity within the system.)

最终的权值矩阵就是滤波器的系数，处理信号的时频分析，阵列信号处理的高分辨率估计，包括最小二乘法、SVM、神经网络、1_k近邻法,有较好的参考价值，结合PCA的尺度不变特征变换(SIFT)算法，计算加权加速度,旋转机械二维全息谱计算。( The final weight matrix is ??the filter coefficient, When processing a signal frequency analysis, High-resolution array signal processing estimates, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, There are good reference value, Combined with PCA scale invariant feature transform (SIFT) algorithm, Weighted acceleration, Rotating machinery 2-d holographic spectrum calculation.)

这是一个通信系统的仿真，是用SIMULINK的S-FUNCTION方式编写的，共有20个M文件，1个DOC文件，本系统的仿真设计到编码、调制、IFFT、上下变频、高斯信道建模、FFT、PAPR抑制、各种同步、解调和解码等模块，每个模块都用详细的代码和注释，并通过了系统性能的仿真验证了系统设计的可靠性，可以直接拿来仿真整个系统，也可来学习各个部分的设计。(This is a communication system simulation, is the S-FUNCTION SIMULINK approach to the preparation, a total of 20 M file, a DOC file, the system simulation design to coding, modulation, IFFT, and down conversion, Gaussian channel model , FFT, PAPR suppression, various synchronization, demodulation and decoding modules, each module with a detailed code and comments, and system performance through simulation and verification of the reliability of system design, simulation of the entire system can be directly used, also to learn the various parts of the design. )

绘制二维非线性系统的相图，MATLAB程序，自已编写，多多交流！(Phase diagram, drawing two-dimensional nonlinear system MATLAB program, written, more exchanges!)