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eeg matlab
- 脑电波信号特征提取
采用差分阈值法对心电信号QRS波进行特征提取
- 采用差分阈值法对心电信号QRS波进行特征提取的Matlab程序。,Differential threshold method QRS wave of ECG feature extraction of Matlab program.
matlab.rar
- MATLAB 下的模式识别特征提取 用于对特征信号的提取,MATLAB under the feature extraction for pattern recognition features of the signal extraction
PramaterTest
- 此程序为用matlab实现信号特征提取的实验程序，将待处理的一维时间函数赋给work2中的x1tRE，运行work2即可 -This procedure is used to achieve signal feature extraction matlab experimental procedures, will be dealt with one-dimensional function of time assigned to work2 in x1tRE, you can run wo
featureextraction
- 利用MATLAB实现一维信号时间序列的，特征提取，其中包括ICA和基于小波包的方法。-Use MATLAB to achieve one-dimensional time series signal, feature extraction, including the ICA and the method based on wavelet packet.
yang
- 该源代码是MATLAB程序，可直接使用，是信号处理中的模式识别算法，包括归一化，特征提取步骤。-pattern recognition
xunosvc
- 用支持向量机SVM对经提取得到的信号特征参数进行信号的模式识别。-Support Vector Machines SVM right after the signal characteristic parameters were extracted for signal pattern recognition.
Temporal_features_extraction
- 个人编写的提取音频信号的时域特征参数短时平均过零率及短时平均能量的matlab源程序。供大家参考-Extraction of individual preparation of the audio signal in time domain characteristic parameters of short-term average of zero-crossing rate and short-time average energy of the matlab source. For you
hao
- 调制识别全过程，包括信号特征值的提取，神经网络的训练，信号识别。非常好-the process of modulation recognition.it is very good for the study of modulation recognition
Assignment2
- 国外高校老师编写的语音信号特征提取程序，非常实用初学者研究- [E, V, A, P] = analysis(x, N, U, M) extracts vocoder parameters E, V, A, and P from the speech signal x on a frame by frame basis. N is the analysis frame length, U is the update length, and M is the order of the
locationP_QRS_T
- 基于小波变换的心电信号预处理 和PQRST波特征提取-PQRST wave of ECG preprocessing and feature extraction
xindian
- 心电信号的采集与处理 频谱分析与特征提取-ECG acquisition and processing of spectrum analysis and feature extraction
xiaobobao-BP-zhoucheng-zhenduan-
- 基于小波包特征向量与神经网络的滚动轴承故障诊断。：基于故障轴承的特征提取，提出了将小波包分析与神经网络结合的滚动轴承故障诊断方法。对滚动轴承信号进行3层小波包分解，构造小波包特征向量作为故障样本，用训练好的BP神经网络进行故障诊断，试验结果表明，该方法能够有效地诊断出滚动轴承的故障类型。-Fault Diagnosis of Rolling Bearings Based on W avelet Packet Energy Eigenvector and Neural Network
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)
feature selection
- 各种信号特征提取，最大值，最小值，均值，商(Signal feature extraction)
小波包能量谱
- 用于信号特征提取，提取信号的小波包能量谱(Extracting the wavelet packet energy spectrum of the signal)
shuangpujiancesignal
- 计算信号的双谱，为机械故障诊断提供依据，还可以用于故障特征提取(Bispectrum for calculating signals)
基于多信号小波变换分解的特征提取
- 实现对振动信号的小波变换分解的特征提取。(The wavelet transform decomposition of vibration signal is realized to extract its features.)
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