搜索资源列表
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- 基于信号时频特征的神经网络报警方法，了解信号时频的特征分析，应该有用。
Gabor变换在模态参数辨识中的应用
- 对Gabor时频变换在模态参数辨识中的应用进行了探讨,将基于Gabor系数展开的时频滤波方法作为参数辨识的前处理手段之一,该方法对于平稳、非平稳信号都适用。根据信号在时频域内的分布特征,可以直接观测系统的频率分布情况、模态密集程度、能量聚集性、各通道响应信号所含特征量的多少等信息,从而对响应信号的特征构成进行初步判断,并通过剔除、截取等操作实现对响应信号的滤波,更有利于模态参数的辨识。
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
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
tfagui
- 对信号进行自适应核二次型时频分布变换，显示信号的时频特征-Adaptive signals nuclear quadratic transform time-frequency distribution, indicating the time-frequency characteristics
5
- 借助小波变换在时频分析上的优点，提取地面运动目标的回波信号特征在目标识别中加以运用-With wavelet transform in time-frequency analysis of the advantages of extracting ground moving target echo signal characteristics to be used in target recognition
hilbert_pu
- 对仿真的非平稳信号进行Hilbert-Huang变换，分析信号的时频特征。-The simulation of non-stationary signals, Hilbert-Huang transform analysis of time-frequency characteristics.
ECGmonitoring
- 小波变换是一种信号的时间—尺度分析方法，它具有多分辨率分析的 特点，而且在时频两域都具有表征信号局部特征的能力。由于其在信号处 理领域表现出的优异性能，目前在生物医学领域，广泛应用于信号检测、 特征提取、图像处理、信号压缩等方面。 -Wavelet transform is a signal of the time- scale analysis method, it has the characteristics of multi-resolution analysis, bu
rev3
- 海豚声纳信号的脉冲分解及特征分析.提出一种海豚声纳目标探测脉冲串信号的脉冲分解方法,在此基础上对海豚声纳脉冲信号的特征进行了分析,其中包括脉冲宽度、脉冲间隔以及脉冲的时间分辨率和频率分辨率,并采用耳蜗滤波对海豚声纳脉冲串信号的时频特征进行了分析。分析结果表明,探测目标的过程中,根据目标距离的不同,海豚会自适应调节脉冲信号的发射频率和信号形式。 -Dolphin sonar signal pulse decomposition and characteristics of proposed bur
WignerVille
- Winger-Ville分布计算程序,是对信号的瞬时相关函数的傅里叶变换，它的结果能够反映信号的时频特征-Winger-Ville distribution calculation procedure is the correlation function of the instantaneous signal Fourier transform, it can reflect the results of the frequency characteristics of the signal
time_domain_features
- MATLAB进行信号的时频特征分析,主要用于对语音信号的分析。-time-frequency characteristics of signal analysis by MATLAB
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
timefrequence
- 高压断路器振动信号时频特征分析，STFT变换以及功率谱，matlab代码-High voltage circuit breakers，STFT
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.)
matlab文件
- 利用小波变换、fft实现地震波的时域、频域特征的对比分析(Comparative analysis of seismic wave in time domain and frequency domain by wavelet transform and FFT)
time_frequency_analysis
- 基于实测信号，进行时频分析，同时了解时域频域特征(Based on the measured signal, time-frequency analysis is carried out, and time domain and frequency domain characteristics are also understood.)
振动信号时域频域特征（带测试数据）
- 针对信号的时域特征和频域特征提取，带测试数据，能够运行(According to the time-domain and frequency-domain feature extraction of signals, the system can run with test data.)
时域特征和频域特征
- MATLAB的轴承故障时域特征和频域特征提取(Bearing fault time domain feature and frequency domain feature extraction)