soundexample

这是关于matlab语言学习的经验，其中包括两个txt文档很方便下载，可以在手机上看，写的很好，值得看看。(This is about the matlab language learning experience, including two txt documents easy to download, you can phone point of view, well written, it is worth a look.)

blender script to make a object intersection

主要叙述在matlab环境下熟悉对svm的操作以及svm的主要特性包括分类和回归(The main narrative in the matlab environment familiar with the operation of the SVM and the main features include SVM classification and regression)

非标供牙机的PLC控制程序，台达PLC24ES200T控制推送，落料，检测，攻牙。使用WPLSOFT2.38编译(-Delta PLC control program is used to control the Non-standard equipment。)

HHT谱计算程序，不是rilling版本，用改进的Hilbert变换，效果好一些，供大家参考。(HHT spectrum of the calculation procedures, rilling is not a version of the Hilbert transform used to improve the results better for your reference.)

Antenna course final design project.

　传统的信号理论，是建立在Fourier分析基础上的，而Fourier变换作为一种全局性的变化，其有一定的局限性。在实际应用中人们开始对Fourier变换进行各种改进，小波分析由此产生了。小波分析是一种新兴的数学分支，它是泛函数、Fourier分析、调和分析、数值分析的最完美的结晶；在应用领域，特别是在信号处理、图像处理、语音处理以及众多非线性科学领域，它被认为是继Fourier分析之后的又一有效的时频分析方法。 小波变换与Fourier变换相比，是一个时间和频域的局域变换因而能有效地从信号中提取信息，通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析（Multiscale Analysis），解决了Fourier变换不能解决的许多困难问题。(The traditional signal theory, is based on Fourier analysis based on Fourier transform, and as a kind of global change, it has some limitations. In the actual application of Fourier transform people began to various improved, wavelet analysis produced. Wavelet analysis is a new branch of mathematics, it is functional, Fourier analysis, harmonic analysis, numerical analysis of the crystallization of the most perfect In the fields of application, especially in signal processing, image processing, audio processing as well as many nonlinear scientific fields, it is considered to be the Fourier analysis after another effective time-frequency analysis method. Wavelet transformation and Fourier transform, compared is a time and frequency domain and the local transform can effectively extract information from signal, through the telescopic peace shift etc operation function of the function ? )

自己编的周期图法谱估计，对初学者有所帮助，内还有一本书可供参考(own series of the Periodic Table spectral estimation, for beginners is helpful, there are still a book for reference)

基于反高斯正态分布的模型参数估计matlab(Matlab anti-Gaussian distribution is estimated model parameters based on)

基于压缩感知的匹配基追踪算法的matlab实现(Based on compressed sensing based tracking algorithm matlab matching)