Mathieu_Functions_Toolbox_v.1.0

说明：  过程信号的前馈-反馈型自适应盲分离算法：利用神经网络的自学习能力实现信号的盲分离已被证明是实现信号分离的一种有效方法,不同的神经网络模型对分离算法的效能将产生极大的影响 (The process of signal feedforward- feedback-based adaptive algorithm for blind source separation: Using neural networks to achieve self-learning ability of the blind signal separation has been proved to achieve the signal separation is an effective method, different neural network model of the separation algorithm efficiency will be have a great impact on the)

说明：  时频分析方法是非平稳信号处理的一个重要分支，它是利用时间和频率的联合函数来表示非平稳信号，并对其进行分析和处理，利用时频分析法对语音信号进行去噪。(Non-stationary time-frequency analysis is an important branch of signal processing, it is the joint use of time and frequency functions to represent the non-stationary signal and its analysis and processing, using time-frequency analysis of the speech signal denoising. )

稀疏表示，字典学习，KSVD算法，matlab版(Sparse representation dictionary learning, KSVD algorithm, matlab)

关于这个校正设计的程序，我原本打算做3个版本的。第一个就是现在传上来的这个。这个版本，提供了设计思路的由来和适当的过程的引导，但一些计算步骤由使用者自己来完成。我做这个版本的目的是希望，使用者能通过这个程序的使用明白校正的设计思路，至少是从我理解的程度上去理解。如果以后的师弟、师妹们能通过使用这个程序，更加轻松的掌握校正的方法。我就觉得我做了一件意义重大的贡献，我会感到自豪。所以也希望李老师能对其中的错误和不足进行指正。第二个版本是第一个版本的简化版，只给过程的引导，不给设计思路，主要是给用过第一个版本的同学一个加深联系的途径。(i don t know)

说明：  matlab地震数据处理软件 应用于地震地球物理(matlab seismic data processing software used in seismic geophysics)

Is not a sourcecode or document. IT IS A DIRECT SHEAR TEST BOOK FOR STUDNETS TO CONDUCT LAB WORKS

Spectrum Sensing and Energy Detection in Cognitive Radio Networks

本资料详细介绍了MATLAB在自控的应用，希望会对大家有用！(This information is described in detail the application of MATLAB in control, I hope will be useful for everyone!)

模糊C均值（FCM）算法工具箱，可以直接使用，基于MATLAB编写，呵呵(Fuzzy C Means (FCM) algorithm toolbox, can be used directly, based on MATLAB write, huh, huh)

To finding an optimum parameter set using the evolutionary algorithm of Differential Evolution(This contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution. Simply speaking: If you have some complicated function of which you are unable to compute a derivative, and you want to find the parameter set minimizing the output of the function, using this package is one possible way to go.)