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time_index1.rar
- 刀具在线监测故障信号的时域频域时频域特征提取matlab程序 ,Tool-line monitoring of fault signals in time domain frequency domain time-frequency domain feature extraction procedures matlab
Thesis
- 时频原子分解算法主要用于建立时频原子库，从而提取出特征信号-Time-frequency atom decomposition algorithm for frequency atoms library created to extract the characteristic signal
EMD-2.1
- emd_visu.m 是一个很好的对信号进行时频处理的工具箱，能很好的分析信号的特征。-Emd is a box for signal .
EMD-Toolbox
- EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的
shipinyu
- 该Matlab算法，可以实现振动数据的文件的读取，进而可以进行时频分析，得到信号特征值-The Matlab algorithm can achieve vibration data of the document read, in turn, can be time-frequency analysis, Signal Characteristics
plot_hht
- 一种提取脑电信号EEG特征的时频处理方法，可以参考HHT（Hilbert-Huang Transform的资料）-EEG characteristics of a kind of EEG time-frequency approach can refer to the HHT (Hilbert-Huang Transform information)
zuizinzin
- 这是一个基于地震电磁时频图像的特征区域分割的程序算法-it is very good
bishe
- 这是一个基于地震电磁时频图像的特征区域分割算法的程序-it is very good
stft
- 利用时频分析的方法分析一段语音信号的时频特征，并进行降采样等处理，可直接运行-When the time-frequency analysis method to analyze the frequency of use of a voice signal characteristics, and down-sampling and other treatment, can be directly run
time-frequency-feature
- 此代码用于故障诊断特征提取，所提取特征包括传统时、频域特征和时频特征三部分，数据为轴承数据-This code is used when troubleshooting feature extraction, the extracted features, including traditional, frequency domain and time-frequency characteristics of three parts, the data is bearing data
CharacterDistill
- 常用的时频信号处理算法,用于机械部件的故障特征提取(fault feature extraction)
时频域统计特征
- 信号的时频域统计特征，可用于后续模式识别,特征选择，特征提取。(The time-frequency statistics of the signal can be used for subsequent pattern recognition.)
inverse_st
- 广义S变换及其逆变换，用于对非平稳信号进行时频分析，研究信号的频域特征随时间的变化情况(The generalized S transform and its inverse transform are used to analyze the time-frequency of nonstationary signals and study the change of frequency domain characteristics with time.)
voice_wav_frequency
- matlab语音信号分析时域频域，加窗，降噪滤波，端点检测，时域特征和频域特征提取(Matlab speech signal analysis in time domain, frequency domain, windowing, denoising, filtering, endpoint detection, time domain feature and frequency domain feature extraction.)
matlab
- 拉普拉斯特征映射,最大差异展开，时频域特征(Laplacian Eigenmap Maximum difference expansion Fast Maximum difference expansion ISOMAP)
脉搏波信号提取
- 对脉搏信号进行滤波处理后，再进行时域分析和频域分析，提取出脉搏信号的周期、峰值、频率等特征。(After filtering the pulse signal, time domain analysis and frequency domain analysis are carried out to extract the characteristics of pulse signal such as period, peak value and frequency.)
时域频域29个特征提取
- 利用matlab提取出频域和时域信号的29个特征(Using MATLAB to extract 29 features of frequency and time domain signals)
时域频域29个特征提取
- 利用matlab提取出频域和时域信号的29个特征，主运行文件feature_extraction，fre_statistical_compute和time_statistical_compute分别提取频域和时域的特征，生成的29个特征保存在生成的feature矩阵中。(Using MATLAB to extract 29 features of frequency-domain and time-domain signals, the main running files feature ex
cal_waveletfeature
- 计算小波包特征，小波分解得到能量比、小波熵。小波熵是一个统称，不是一种具体的熵算法。(The wavelet packet features are calculated, and the energy ratio and wavelet entropy are obtained by wavelet decomposition. Wavelet entropy is a general term, not a specific entropy algorithm.)
肌电信号处理
- 表面肌电信号处理的matlab程序，包括带通滤波、50Hz陷波滤波程序，以及计算时域、频域的指标iMEG、RMS ， MF、MPF(The matlab program of sEMG signal processing includes band-pass filter, 50 Hz notch filter program, and calculation of time and frequency domain index IMEG, RMS, MF, MPF)