matlabfz

3500 chip power amplifiers, low frequency and their analogues

宽带波束形成 倍频程波束形成 恒定束宽波束形成(Broadband Beamforming Beamforming octave constant beamwidth beamforming)

实现心电信号傅里叶变换处理、并显示原信号和处理后的信号(realized the FFT of ECG, and display the results)

二维声波正演程序！规则网格的时间空间二阶波动方程有限差分正演，matlab编写！！(Two-dimensional wave medling program! matlab prepared! ! Forward seismic acoustic source)

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.)

8 queens on the chess board with matlab

说明：  基于密度峰值的快速聚类算法在matlab中的实现(Realization of fast clustering algorithm based on density peak in MATLAB)

c标准库 参考手册 包括最有用的类和函数(Standard Library Reference)

用于说话人识别初始化样本的聚类算法 调试成功(Speaker Recognition for initialization of the clustering algorithm samples)

卡农歌曲，用matlab实现卡农歌曲的整个伴奏，运行即能播放。 (the song of kanong )