资源列表
xinhaocaijiquzao
- 程序是对从5个麦克风组成的阵列采集的信号进行降噪处理,通过自适应滤波方法实现对采集的环境噪声的去除,实现了采集纯净信号的目的。-Program is composed of from 5 microphone array processing noise signals collected by the collection of the adaptive filtering method to remove ambient noise, to achieve a pure signal acq
gjxiaobo
- 改进提升小波,通过改变阈值,来达到消噪,比以前的小波消噪效果更好-Improved lifting wavelet by changing the threshold to achieve de-noising, than the previous wavelet denoising better
loadAndPrintNet
- WSN file in matlab language
rasd
- 产生ALPHA稳定分布信号matlab函数。适用于仿真带有尖峰的噪声信号。-ALPHA stable distribution signals generated matlab function. For the simulation of the noise signal with a spike.
newmark
- matlab编写的Newmark法计算多自由度体系动力问题的通用程序,很实用!-Newmark method matlab prepared multi-degree of freedom system power issues common procedures, very practical!
MLE_FreqEstUnitCircleRoots
- This code implements the High-Resolution Frequency Estimation algorithm in the following paper Shaw, A. K., “Maximum Likelihood Estimation of Multiple Frequencies with Constraints to Guarantee Unit Circle Roots,” IEEE Transactions on S
db4
- 1、 降噪步骤: (1) 一维信号的小波分解。选择一个小波并确定分解的层次,然后进行分解运算。 (2) 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。 (3) 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。 matlab里面有关于去噪的函数,你可以找一下~~ 这说的只是基本原理,希望有所帮助-1, noise reduction steps: (1) one-dimensional signal wavelet d
LDA_USPS
- 利用线性判别分析做USPS数据库的分类。代码可直接运行, 有详细注释。-Done using linear discriminant analysis classification USPS database. Code can be directly run, detailed notes.
PCA_usps
- 利用主成份分析方法实现对usps数据库的分类处理。代码可直接运行, 有详细注释。-Using principal component analysis method for usps database classification. Code can be directly run, detailed notes.
fft
- matlab实现二维数组的fft变化,得到时域图、幅频域图。-fft change implementation, time domain, frequency domain amplitude, is a two-dimensional array of the FFT changes
talor6
- 使用泰勒算法设计的具有抑制旁瓣功能的雷达方向图-Using Taylor algorithm design direction of the radar chart
Version1
- 小波包分解,重构轴承振动信号,Hilbert包络,FFT进行频谱分析,以获得轴承故障频率。-Wavelet packet decomposition, reconstruction of bearing vibration signal, Hilbert envelope, FFT spectrum analysis to obtain the bearing fault frequencies.
