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详细的介绍了信号处理过程中的matlab应用，适合初学者学习(Described in detail in the matlab signal processing applications, suitable for beginners to learn)

Program to detect block edge

2011年模式识别文章，讲述了一种有监督的最佳保局投影，主要是对LPP算法的改进。(2011 Pattern Recognition article about a kind of best insurance supervision Bureau projection, mainly on the LPP algorithm improvements.)

数值积分中matlab的实现，其中包括拉格朗日插值、辛普森插值等基本算法。(Numerical integration in matlab realization, including Lagrange interpolation, Simpson and other basic interpolation algorithm.)

模拟fastICA算法，3个源信号输入，对此进行盲源分离，初学者可以多了解(FastICA simulation algorithm, three source signal input, conduct a blind source separation, beginners can learn more about)

空间谱估计中的MUSIC算法，是经典MUSIC算法。(Spatial spectrum estimation MUSIC algorithm, is a classic MUSIC algorithm.)

说明：  用MATLAB实现雷达回波信号的仿真(Using MATLAB realize radar signal simulation)

说明：  本书以单元练习的形式，从MATLAB最基本的问题入手，循序渐进，逐渐过渡到较为复杂的数学问题、信号分析问题、力学问题和电学问题的求解，将MATLAB的学习贯穿在解决不同领域实际问题的过程当中。每一个练习都结合问题，介绍与之相关的MATLAB使用知识。全书50个练习基本上涵盖了MATLAB的主要功能。本书不仅是一本初学者可以用来入门的教程，而且对于专业设计人员来说，也是一本内容翔实、可供借鉴的参考(In the form of unit practice, this book starts with the most basic problems of MATLAB, gradually transits to the solution of more complex mathematical problems, signal analysis problems, mechanical problems and electrical problems, and runs the learning of MATLAB through the process of solving practical problems in different fields. Each exercise is combined with the problem, and introduces the knowledge of MATLAB. The 50 exercises in the book basically cover the main functions of MATLAB. This book is not only a tutorial for beginners, but also a reference for professional designers)

常用的matlab图形绘制例子，概括了绝大多数的图形绘制方式。(Commonly used in graphics rendering matlab example, summed up the overwhelming majority of the graphics rendering mode.)

PSO模型为一种新型的改进仿生算法，通过鸟群的捕食模型得到启示并用于解决优化问题。这里提供一个优化版本的PSO算法的matlab代码(PSO model for a new improved bionic algorithm, to be inspired by birds of prey model and used to solve optimization problems. Here to provide an optimized version of the PSO algorithm matlab code)