搜索资源列表
sta12_1
- 基于MATLAB的主元分析,可用于信号特征提取及模式识别-the main element analysis, signal can be used for feature extraction and pattern recognition
xbnlp
- 小波包能量谱的计算,对信号进行频段分析,特征提取,用于模式识别-wavelet packet energy spectrum
QPSK_16QAM
- 提取信号七个基于瞬时信息的特征:零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差,零中心非弱信号段瞬时相位非线性分量绝对值标准偏差,零中心非弱信号段瞬时相位非线性分量标准偏差,零中心归一化的非弱信号段瞬时频率绝对值的标准偏差,一个信号段的归一化瞬时频率功率谱密度的最大值,根据信号 QPSK 和16QAM在 XI 轴投影的不同表现,提出特征参数。-Extraction based on instantaneous information signal of seven
EMD_0627
- emd算法 主要用来提取信号的本征模态,将信号的原始信号从混合噪声中提取出来-emd algorithm Mainly used to extract the signal intrinsic mode, the original signal from the mixed noise extraction
Fuzzy_entropy_bbd
- 模糊熵, 为解决从信号中提取故障特征难的问题, 介绍了一种新的信号故障特征提取方法—— 多尺度熵( multi-scale entro py, 简称MSE) , 并将样本熵和多尺度熵分别应用于转子故障信号复杂性的度量, 以提取故障特征。试验数据 分析表明, 与样本熵相比, 多尺度熵更能有效地实现转子故障类型的诊断。-A new rolling bearing fault diagnosis approach based onmultiscale permutation entropy (
jizhongshuzixinhaode-yanjiu
- 对几种基本的数字调制信号的特征参数进行提取,并对此进行研究,研究识别成功率。-Features several basic parameters of digitally modulated signals are extracted, and this study, the researchers recognition success rate.
Pitch-detection
- 线性预测声码器设计中语音信号的基音周期提取,采集语音信号,对语音信号进行处理,区分清音浊音,并通过对采样值进行滤波、分帧、求短时自相关函数,得到浊音的基音周期。-Linear prediction vocoder design of the speech signal pitch extraction of speech signal acquisition, speech signal processing, discriminate unvoiced voiced, and through
l9
- 本程序可以利用FFT函数对带有白噪声的信号进行振幅提取,并附有图标说明。(This procedure can use the FFT function to extract the white noise signal amplitude, and accompanied by icons.)
EnergyOperator
- 提取teager能量算子和其解调信号,能够增强和突出冲击信号(Extracting Teager energy operator and its demodulation signal can enhance and highlight the impact signal)