w_segy

说明：  船舶航向PID微分方程的数学模型设计，运用MATLAB的M文件对其编程(The mathematical model of ship's heading PID differential equation is programmed by using the M file of MATLAB.)

本文件夹共三个matlab文件和一个word文档， 内容分别为用MATLAB验证时域抽样定理，连续系统的频域分析和连续系统的频域分析。matlab刚捡起来，望大家多多指教与探讨。(A total of three of the matlab folder of documents and a word document, the contents of MATLAB were used to verify time-domain sampling theorem, continuous system for frequency domain analysis and frequency domain analysis system. matlab to just pick up, hope you and explore the exhibitions.)

If you were a C/C++ programmer and you want to sending data to MATLAB for plotting and testing, adding MATLAB S/W modules into your application or complete application development in MATLAB, these slides are for you.

说明：  用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取(SVM prepared using MATLAB source code, you can achieve the support vector machine for feature classification or extraction)

说明：  采用白噪声作为输入信号，用递推最小二乘法来进行系统辨识(Using white noise as input signal, using recursive least squares method for system identification)

经验模式分解，用于局域波分解，使用于多分量信号分析(empirical mode decomposition, for the local wave decomposition, in the use of multi-component signal analysis)

matlab编程入门基础讲义，非常实用的讲解及多个小程序(matlab programming entry basis of handouts, very practical presentation as well as a number of small programs)

说明：  VMD是通过迭代搜寻变分模型（具体怎么搜寻，请亲们自己看，我主要讲他的大概）最优解， 来确定我们所知的模态uk(t)及其对应的中心频率ωk和带宽。 每个模态都是具有中心频率的有限带宽（就是在频域中有在一定的宽度）。所有模态之和为源信号。(VMD is to determine the modal UK (t) and its corresponding central frequency, k and bandwidth by iteratively searching for the optimal solution of the variational model (see dear friends for details, and I will mainly talk about his approximate solution). Each mode is a finite bandwidth with a central frequency (that is, a certain width in the frequency domain).The sum of all modes is the source signal.)

speex-1.1.6.tar.gz，音频格式speedx编解码源码(speex- 1.1.6.tar.gz, Audio Codec format speedx FOSS)

用MATLAB实现图像的直方图均衡化的处理，使图像更分明。(MATLAB image histogram equalization processing, make the image more clearly.)