SplitBregmanTVdenoising

此程序是关于小波变换用于故障信号分析和处理的程序，特别适合去噪和第一类间断点的检测，适合机械波研究者参考(this procedure is used on the wavelet transform fault signal analysis and processing procedures, particularly suitable for de-noising and continuity of the first category of detection, for the reference of researchers mechanical wave)

matlab工具箱，可以用来处理各类garch模型，尤其是包含CCCGARCH等多元garch模型(it s a matlab toolbox that can be used to deal with all kinds of garch model, especially multivariate garch model like CCC-GARCH model)

说明：  双向DC，plecs仿真，带闭环控制，可以联合仿真(Bidirectional DCplecs simulation)

本光盘为《详解MATLAB快速入门与应用》一书的配套光盘，包括以下内容： 1.“sample”文件夹：提供了本书各章范例的源程序。(The CD is " Getting Started with MATLAB Detailed application," a book supporting the CD, including the following:. 1 " sample" folder: each chapter provides examples of the book source.)

binary PSO islanding in distribution system

21种特殊函数的数值计算的matlab代码，包括bessel函数，gamma函数，beta函数等(21 kinds of special functions matlab numerical code, including bessel function, gamma function, beta function, etc.)

这个文件是Matlab的M文件压缩包，主要的内容是PID的算法，可以通过此算法文件进行沟通交流(This file is a Matlab M-file compression package, the main contents of the PID algorithm, this algorithm can file through the communication)

matlab实现gauss型积分公式，取直交多项式为lengendre多项式,由三项递推公式得出(To achieve the gauss-legendre integral formula in matlab which is founded by recursive formula.)

greedy_method.m为为贪婪算法程序。所得结果为局部最优，可能不是全局最优的。(greedy_method.m greedy algorithm program. The results obtained for the local optimum, may not be globally optimal.)

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )