matlab-test

较详细的介绍了EMD分析方法和hilbert变换，对海洋中的一些时间序列进行时频分析(A more detailed description of the EMD analysis method and hilbert transform pairs of the ocean some of the time series of time-frequency analysis)

IEEE经典文章，CDMA PN序列差分捕获技术，文章内容详细，对学习和从事直接序列扩频同步捕获CDMA系统设计人员有很大帮助，推荐(New differentially coherent detectors for acquisition of direct sequence spread-spectrum signals are ntroduced. These detectors are alternatives to the noncoherent detectors that have been considered almost exclusively in the past. The proposed detectors are suitable for commercial code-division multiple-access(CDMA) systems which operate with a relatively large noise fl oor and provide a surprisingly large signal-to-noise ratio (SNR) improvement over the noncoherentdetectors of approximately 5 dB.)

MATLAB读取cad生成的dxf文件,在MATLAB可以处理简单的CAD的对象，为MATLAB读取cad提供了一种方法。(MATLAB can read the file of dxf. You can do opertion to the object in the cad.)

次程序是用MATLAB语言编写的高斯赛德尔迭代法，可用于求解线性微分方程组。(Second procedure is used MATLAB language high Sisaideer iterative method can be used to solve linear differential equations.)

对一段语音信号进行预处理，加窗，求过零率，短时能量，求各种语音信号的特征参数。(For a period of speech signal pre-processing, windowing, and zero-crossing rate, short-time energy, and all kinds of speech feature parameters.)

Algorithme Pivo and PivoGauss in resolution of polynomial equation

该matlab程序主要进行肌电信号的预处理以及获取时域特征(The matlab program mainly for EMG signal preprocessing and access to time-domain characteristics)

本设计采用了一种基于三参数组合的方法对语音信号进行了清/浊音判决。在传统两参数（短时能量和过零率）算法基础上增加了自相关函数作为判决参数，减少了清/浊音信号误判率。(This design uses a combination of methods based on three parameters of the voice signals of the Qing/voiced sentence. In the traditional two parameters (short-term energy and zero crossing rate) algorithm based on the increase since the correlation function as a decision parameter, reducing the clearance/voiced signal false positives.)

说明：  利用遗传算法来求解非线性方程组，详细的Matlab程序(matlab program for GA to solve the nonlinear equations)

Factorial hidden markov model and compute likelihood per each cycle with train test and validation set. train HMM used Backward-Forward Algorithm.