ning_jw86

对图像进行预处理，然后进行经典的阈值分割，形态学分割以及种子区域生长。(Preprocess the image, and then the classic threshold segmentation, morphological segmentation as well as seed region growing.)

说明：  matlab代码，轴承特征提取，包括rms、最大幅值、峰值因子、绝对平均值、平均值、峭度、脉冲因子、裕度因子、能量，小波包、经典模态分解等特征(Matlab code, bearing feature extraction, including rms, maximum amplitude, crest factor, absolute mean, mean, kurtosis, pulse factor, margin factor, energy, etc.)

这个是matlab经典教程的一个关于 偏微分方程的数值解法的原代码，希望大家赶快下载哦(This is a classic tutorial matlab partial differential equations on the numerical solution of the original code, I hope you get to download Oh)

带通滤波器的matlab实现,能够滤掉低频以及高频分量(bandpass filter matlab realise bandpass filter matlab realise bandpass filter matlab realise bandpass filter matlab realise bandpass filter matlab realise )

说明：  music谱分析 运用数字信号谱分析，快速简便的算法(music spectrum)

关于MATLAB的通信系统编程源码，包含多个小程序，对于初学者有比较大的帮助(MATLAB simulation of communication system（library）)

此程序为模型预测控制算法中的动态矩阵控制算法，依据算法的控制思想，实现基本的控制。(This procedure is belong to the model predictive control. It is the DMC algorithm with real-time update module calculation, to complete the cycle simulation.)

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

迭代法，埃特金加速收敛法，解非线性方程，可以调节精度,可以达到较高精度(Iterative method, Aitken accelerating convergence method for solving nonlinear equations, the accuracy can be adjusted, you can achieve high accuracy)

说明：  This matlab codes calculates the mutual information and the conditional mutual information based on k-nearest neighbor algorithm.