music-algorithm

0qpsk the matlab simulation program, including modulation, demodulation and description

Matlab Code for Intelligent Control

EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。 (Time frequency toolbox for use with MATLAB The Time-Frequency Toolbox has been mainly developed under the auspices of the French CNRS (Centre National de la Recherche Scientifique). It results from a research effort conducted within its Groupements de Recherche ”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at Rice University, when one of the authors (PG) was visiting the Department of Electrical and Computer Engineering, supported by NSF. Supporting institutions are gratefully acknowledged, as well as M. Guglielmi, M. Najim, R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin, O. Michel and P. Abry for their help at different phases of the development.)

主要用于地震数据处理中读取segy文件数据，也可以自己合成的数据保存为segy文件。(Mainly used in seismic data processing to read segy file data, you can also save their synthetic data for segy file.)

说明：  BP网络是通过输入层到输出层的计算来完成的。多于一层的隐含层虽然能在速度上提高网络的训练,但是在实际应用中需要较多的训练时间,而训练速度可以用增加隐含层节点个数来实现,因此在应用BP神经网络进行预测时,选取只有一个隐含层的三层BP神经网络就足够了。(The BP network is completed through the calculation of the input layer to the output layer. Although the hidden layer of more than one layer can improve the training of network in speed, more training time is needed in practical application, and the training speed can be realized by increasing the number of hidden layer nodes. Therefore, when the BP neural network is used to predict, the three layer BP neural network with only one hidden layer is sufficient.)

云搜索优化算法，是一种新兴的群智能优化算法。可以下载，改进。(cloud search optimization algorithm)

随机矩阵为小波变换的压缩传感，包含有系数采样、随机矩阵、重构算法程序(compressive sensing)

Ｂｏｏｓｔ电路的小信号模型，采用实际电路搭建，效果很好。(Boost circuit of small signal model, using the actual circuit to build, the effect is very good.)

sift的matlab代码，是最新的,效果不错，其中有很多详细说明，可以试试。(sift the matlab code, is the latest, well, there are a lot of detail, you can try.)

利用计算机编程实现加性干扰信号的维纳滤波(Computer programming additive interference signal Wiener filter)