Vibration-of-Continuous-systems-Rao

语音端点检测，有助于除去语音信号中的噪音部分，留下有用的携带信息的部分，有利于提取其中有用的语音特征参数，从而提高识别率。(Endpoint detection, helps remove the noise part of the speech signal, leaving useful information-bearing part, is conducive to extract the speech feature useful to improve the recognition rate.)

说明：  利用matlab软件和时域有限差分方法来算三维结构的程序，采用了周期边界条件(Using matlab software and finite difference time domain method to count three-dimensional structure of the program, using the periodic boundary condition)

水印方面 源代码 可以 研面究新手可以参考(shuiyin matlab)

采用互相关法计算相位差程序。用小波对信号进行消噪，再用互相关法检测两个信号的相位差。(Using correlation method to calculate the interval phase of two signals. Wavelet method is used for signal denoising, and then the interval phase of two signals is detected by correlation method.)

使用imfilter和fspecial实现空间滤波(To use imfilter and fspecial spatial filtering)

滚动轴承外圈故障频率，小波分析后包络变换，数据来源西储大学(Rolling bearing outer fault wavelet analysis)

为一篇设计报告，篇末附有代码。用MATLAB实现一段音频的混响处理。运用多种滤波器实现混响、延时、加噪音效果。(As a design report, at the end of the article with the code. MATLAB an audio reverb processing. Using a variety of filter achieve reverberation, delay, and the noise effect. )

用matlab语言实现了ldpc码的编码(Matlab language LDPC code encoding)

说明：  编写一个函数，输入n为偶数时，调用函数求1/2+1/4+...+1/n,当输入n为奇数时，调用函数 1/1+1/3+...+1/n(利用指针函数) (Write a function, the input n is even, the function call seeking 1/2+1/4+...+ 1/n, when the input n is odd, call the function 1/1+1/3+...+ 1/n (using the pointer function))

This paper presents a new algorithm to extract the fetal ECG from an ECG recorded on the mother’s abdomen. The algorithm consists of two steps: first, ECG of fetus is extracted from the original signal using a two-level wavelet transform. We use Daubechie wavelet transform, which is similar in shape to heart beat wave. The resulted signal is then low-pass filtered using the Savitzky-Golay smoothing filter to attenuate the effect of noise. The filtered signal is considered as the fetal ECG. The algorithm was applied on both synthetic and real ECG signals. The results in this paper show that the proposed algorithm has promising performance.