adj2inc

是希尔伯特黄变换的c++源代码，帮助大家一起学习，更进一步的了解希尔伯特黄变换(Is the Hilbert-Huang transform c++ source code to help people learn together, a better understanding of Hilbert Huang Transform)

export iges from matlab to autocad

SIFT特征（Scale-invariant feature transform，尺度不变特征转换)(failed to translate)

用MATLAB实现三维实体箭头的绘制，解决了MATLAB不能绘制实体箭头的问题(Draw 3D arrow with MATLAB)

SIMULINK是MathWorks公司随MATLAB一道发行的功能非常强大的动态系统建模和仿真通用软件包。该软件为用户的建模和仿真过程提供了完善、灵活的可视化设计和调试环境，并且包含丰富的基本功能模块库和众多专业领域的工具箱，是研究、分析和设计各种复杂系统的有利工具。本书按照由浅入深的顺序，对SIMULINK作了详尽的介绍，内容包括：SIMULINK的基本使用，建模和仿真的基本步骤，模型的创建、调试和仿真，S函数的编写以及在控制系统建模和仿真中的应用，同时对SIMULINK标准模块库中各个模块进行了详细说明，使SIMULINK的初学者能够在短时间内迅速了解和掌握该软件的使用方法。 本书可以作为高等院校自动控制、计算机、经济管理、信息工程、应用数学、机电工程、电子工程等学科专业师生的参考教材，对从事上述领域工作的科技工作人员同样具有重要的参考价值。(MathWorks company with MATLAB simulink.this is a function of the issue is very powerful dynamic system modeling and simulation general package. The software for the user modeling and simulation process provides perfect, flexible visual design and debug environment, and contains abundant basic function module base and many professional fields toolbox, research, analysis and design various complex systems tool. In accordance with the order, starting this book of SIMULINK a detailed introduction, basic content includes: SIMULINK use, modeling and simulation of the basic steps, model and simulation, create and debugging of writing and in "S function control system modeling and simulation, and the application of SIMULINK standard module library modules, make a detailed illustration of SIMULINK within short time beginners can understand and master the rapidly software use method. r n r n book can be used as colleges automatic control, computer, economic management, information engineering, a)

梯度下降（可视化,两个例子），对于初学者来说有用。(Gradient Descent（visualization，two examples）)

L1 minimization Program Compressive Sensing

jack rental example with reinforcement learning

关于卡尔曼滤波的信道估计的代码 可以参考一下(About Kalman filter channel estimation codes)

小波滤波的构造实现，以及阈值的设定，小波重构与分解。在各种滤波参考运用，程序放在word中的(Wavelet filter construction and de-noising process)