Engineering-Noise-Control--Theory-and-Practice

blast检测方案，比价了ZF,MMSE,ZF-SIC,MMSE-SIC四种检测算法的性能(blast testing program, the price ZF, MMSE, ZF-SIC, MMSE-SIC detection algorithm in the performance of four)

matlab学习教程 内容很基本，我也是转载的 对新手很有帮助，英文的，但是能听懂(matlab tutorial learning content is very basic, I am also reproduced very helpful for novice English, but can understand)

Call JAVA MATLAB graphical user interface to create professional with source本文介绍了在制作MATLAB图形用户界面时JAVA控件的使用方法。通过一个简单了例子，演示了如何向Figure中添加JAVA控件、如何控制控件的属性，以及如何为控件编写响应函数。(" Call JAVA MATLAB graphical user interface to create professional with source)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成 (MUSIC algorithm is a feature space based on matrix decomposition method. From the geometric point of view, the observed signal space can be decomposed into signal subspace and noise subspace, it is clear that two spaces are orthogonal. Signal subspace to the data received by the array covariance matrix and the eigenvector corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector corresponding to the composition )

it calculates the range of radar using radar range equation.

可以用于求解两个信号的互信息、信息熵，并在此基础上求解广义相关系数。(Mutual information, information entropy can be used to solve the two signals, and solving the generalized correlation coefficient on this basis.)

说明：  迫零均衡方法及结果，有图有说明，适合初学者使用。(Zero forcing equalization methods and results, there are pictures and instructions for beginners.)

语音信号去噪，在MATLAB开发环境下，对含噪声的语音信号进行小波变换，实现语音增强的功能。(The speech signal denoising, wavelet transform, the noisy speech signal in the MATLAB development environment, Speech enhancement functions.)

说明：  一个matlab 的HOUGH变换程序，主要用于边远检测和图像处理。中间包含了CANNY算子等多种算法 还是很有用的(a Matlab HOUGH transform procedure, mainly for remote detection and image processing. Included among the Canny operator of a variety of algorithms or very useful)

实现信号的eemd分析，呈现其波动趋势，是继小波分析之后的又一信号分析利器(Emd achieve signal analysis, showing its fluctuation, wavelet analysis is the second after another signal analysis tool)