时频分析

频谱图、同步压缩、重排、Wigner-Ville、时频边缘、数据自适应方法

Signal Processing Toolbox™ 提供的函数和 App 可用于可视化和比较非平稳信号的时频内容。计算短时傅里叶变换及其逆变换。使用重排或傅里叶同步压缩获得清晰的频谱估计。绘制交叉频谱图、Wigner-Ville 分布和持久频谱。提取并跟踪时频脊。估计瞬时频率、瞬时带宽、谱峭度和谱熵。使用经验或变分模态分解和 Hilbert-Huang 变换执行数据自适应时频分析。

App

信号分析器	可视化和比较多个信号和频谱
信号标注器	Label signal attributes, regions, and points of interest, and extract features

函数

全部展开

估算器

`fsst`	Fourier synchrosqueezed transform
`ifsst`	Inverse Fourier synchrosqueezed transform
`instbw`	Estimate instantaneous bandwidth
`instfreq`	Estimate instantaneous frequency
`kurtogram`	Visualize spectral kurtosis
`pkurtosis`	Spectral kurtosis from signal or spectrogram
`pentropy`	Spectral entropy of signal
`pspectrum`	Analyze signals in the frequency and time-frequency domains
`spectrogram`	Spectrogram using short-time Fourier transform
`xspectrogram`	Cross-spectrogram using short-time Fourier transforms
`stft`	Short-time Fourier transform
`dlstft`	Deep learning short-time Fourier transform
`stftLayer`	Short-time Fourier transform layer
`stftmag2sig`	Signal reconstruction from STFT magnitude
`iscola`	Determine whether window-overlap combination is COLA compliant
`istft`	Inverse short-time Fourier transform
`tfridge`	Time-frequency ridges
`wvd`	Wigner-Ville distribution and smoothed pseudo Wigner-Ville distribution
`xwvd`	Cross Wigner-Ville distribution and cross smoothed pseudo Wigner-Ville distribution

数据自适应方法

`emd`	Empirical mode decomposition
`vmd`	Variational mode decomposition
`hht`	Hilbert-Huang transform

主题

时频估计

Spectrogram Computation with Signal Processing Toolbox
Compute and display spectrograms of signals using Signal Processing Toolbox functions.
Time-Frequency Gallery
Examine the features and limitations of the time-frequency analysis functions provided by Signal Processing Toolbox.
基于 FFT 的时频分析
显示线性 FM 信号的频谱图和持久频谱。
Instantaneous Frequency of Complex Chirp
Compute the instantaneous frequency of a signal using the Fourier synchrosqueezed transform.
Detect Closely Spaced Sinusoids with the Fourier Synchrosqueezed Transform
Determine how separate in frequency two sinusoids must be for the Fourier synchrosqueezed transform to resolve them.

时频应用

Practical Introduction to Time-Frequency Analysis Using the Continuous Wavelet Transform (Wavelet Toolbox)
Perform and interpret time-frequency analysis of signals using the continuous wavelet transform.
Pedestrian and Bicyclist Classification Using Deep Learning (Radar Toolbox)
Classify pedestrians and bicyclists based on their micro-Doppler characteristics using deep learning and time-frequency analysis.
Radar and Communications Waveform Classification Using Deep Learning (Phased Array System Toolbox)
Classify radar and communications waveforms using the Wigner-Ville distribution (WVD) and a deep convolutional neural network (CNN).