huise

说明：  matlab科学计算的几乎所有数学算法以及仿真。每一个m文件在我学习的时候都验证了其正确性。前面的比较简单，逐步深入。另外对部分算法本人在学习中做了优化，更简洁。(matlab scientific computing almost all mathematical algorithms and simulation. M each file in my learning at all times to verify its correctness. In front of a relatively simple step by step in depth. In addition to some algorithm I have done a study of optimization, a more concise.)

基于Matlab的QPSK调制解调的仿真程序,希望对大家有所帮助(Matlab-based simulation of QPSK modulation and demodulation process, want to help everyone)

变步长LMS算法性能比较与仿真.希望有帮助(Variable step size LMS algorithm performance compared with the simulation. Hope that helps)

小波消噪算法我用的小波消噪算法我用的小波消噪算法我用的(Wavelet denoising method I use)

基于模板匹配方法的眼睛追踪技术研究，彩色空间，视频帧图像处理(eye tracking technology based on emplate matching method, color space, video frame, image processing)

移动窗口最小二乘多项式平滑，即S-G数据平滑源代码。可以滤掉光谱数据中的高频噪声，较好地保留原信号的真实性。(Savitzky-Golay Smoothing)

解决地震信号反卷积的相关问题，这可以但做一个模板，大家可以往里面套用,非常使用！(Seismic signal deconvolution to resolve issues related to, but it can make a template, we can fill it applied very use!)

对一维信号的核心算法分析，腐蚀膨胀源代码；(A one-dimensional signal analysis of the core algorithm )

《精通MATLABSimulink系统仿真》主要分为三大部分，共15章。第1部分主要介绍MATLAB基础知识、Simulink仿真入门、 Simulink模型的建立与仿真、Simulink常用命令库分析等；第二部分主要为基于Simulink的S-Function 建模、控制系统Simulink仿真、基于PID的控制系统仿真等；第三部分则涉及Simulink高级应用，包括模糊逻辑控制仿真、电力系统仿真、通信系统仿真、神经网络控制仿真、滑模控制、车辆系统仿真、群智能算法控制系统仿真等。(The MATLABSimulink system simulation is mainly divided into three parts, with 15 chapters. The first part mainly introduces the basic knowledge of MATLAB, the introduction of Simulink simulation, the establishment and Simulation of the Simulink model, the analysis of the common command base of Simulink, and so on. The second part mainly consists of Simulink based S-Function modeling, the control system Simulink simulation, and the PID based control system simulation, and the third part deals with the Simulink senior should. It includes fuzzy logic control simulation, power system simulation, communication system simulation, neural network control simulation, sliding mode control, vehicle system simulation, swarm intelligence algorithm control system simulation and so on.)

说明：  原理：以待处理的像素作为中心，取一个nXn的模板，在模板中选择k个与待处理像素的值最接近的像素，将这k个像素的均值替换原来的像素值。 假设n=3，k=5，调用方法：b = KNNMeanFilter(a, 3, 5)(Principle: to be treated as the center pixel, take a nXn template select the template and the pending k-nearest pixel values of pixels, this k pixels mean replacing the original pixel value. Assuming n = 3, k = 5, call the method: b = KNNMeanFilter (a, 3, 5))