Matlab-Programming-skills-

从信号处理的角度讲，小波(变换)是强有力的时频分析(处理)工具，是在克服傅立叶变换缺点的基础上发展而来的，所以从信号处理的角度认识小波，需要傅立叶变换、傅立叶级数、滤波器等的基础知识。 (From signal processing perspective, the wavelet (transform) is a powerful time-frequency analysis (processing) tool is to overcome the shortcomings on the basis of Fourier transform evolved, so from the perspective of understanding of wavelet signal processing need to Fourier transform, Fourier series, filters and other basic knowledge.)

加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法(deepen the Kalman filter algorithm understanding, knowledge Kalman Filter algorithm for the basic features, master Kalman filtering algorithm applied research on the basic steps and methods)

波浪中船舶运动的仿真及预报研究 船舶运动数学模型(Wave the ship motion simulation and forecasting of ship motion mathematical model)

基于MATLAB/simulink仿真平台的循环流化床锅炉燃烧系统的密相区仿真模型(Based on MATLAB/simulink simulation platform circulating fluidized bed boiler combustion system simulation model of dense phase region)

小波变换获得细节和逼近子图，再求子图能量 用L1范数来求(wavelet transform energy)

：介绍遣传算法的基本原理和Matlab的遗传算法优化工具箱(GAOT)，分析了优化工具函数。探讨Matlab遗传算法工具箱在 参数优化和非线性规划中的应用。通过优化实例，说明遗传算法是一种具有良好的全局寻优性能的优化方法。用Maflab语 言及Maflab语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比较灵活、编程效率高等特点。(: Removal algorithm introduce the basic principles and Matlab Genetic Algorithm Optimization Toolbox (GAOT), an analysis of function optimization tool. Explore the Matlab Genetic Algorithm Toolbox in the parameter optimization and nonlinear programming applications. Through optimization examples to illustrate the genetic algorithm is a good global optimization method to optimize performance. Maflab language and using language Maflab Optimization Toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency.)

利用matlab的simulink，如代码中所示的图形(Using matlab to simulink, as shown in the graphic code)

在高斯与一径瑞利衰落信道下对DVB-T系统的同步算法进行仿真，计算正确符号同步的概率(in Gaussian with a Rayleigh fading channel for DVB-T system synchronization algorithm simulation, correct calculation of the probability Symbol Synchronization)

Continuous Dynamic Time Warping Algorithm using a Linear Interpolation Model,

针对LDPC码在理论和实现两方面分别进行了较深的研究。深入了解了LDPC码编码方法、译码方法以及性能等知识，重点研究了用MATLAB如何构造奇偶校验矩阵、如何编码和如何解码的算法，而且实现了在相同码率、信噪比下LDPC码性能与卷积码性能的对比。(LDPC codes for both theory and implementation were carried out deeper study. In-depth understanding of the LDPC coding method, decoding method and performance of such knowledge, focuses on how to use MATLAB parity check matrix structure, how to encode and decode algorithms how, but also achieved at the same rate, SNR LDPC codes Comparative performance and convolution code performance.)