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时频分析 -凯发k8网页登录

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
label signal attributes, regions, and points of interest, and extract features

函数

fourier synchrosqueezed transform
inverse fourier synchrosqueezed transform
estimate instantaneous bandwidth
estimate instantaneous frequency
visualize spectral kurtosis
spectral kurtosis from signal or spectrogram
spectral entropy of signal
analyze signals in the frequency and time-frequency domains
spectrogram using short-time fourier transform
cross-spectrogram using short-time fourier transforms
short-time fourier transform
deep learning short-time fourier transform
short-time fourier transform layer
signal reconstruction from stft magnitude
determine whether window-overlap combination is cola compliant
inverse short-time fourier transform
time-frequency ridges
wigner-ville distribution and smoothed pseudo wigner-ville distribution
cross wigner-ville distribution and cross smoothed pseudo wigner-ville distribution
empirical mode decomposition
variational mode decomposition
hilbert-huang transform

主题

时频估计


  • 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.

  • 显示线性 fm 信号的频谱图和持久频谱。

  • compute the instantaneous frequency of a signal using 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

  • (wavelet toolbox)
    perform and interpret time-frequency analysis of signals using the continuous wavelet transform.
  • (radar toolbox)
    classify pedestrians and bicyclists based on their micro-doppler characteristics using deep learning and time-frequency analysis.
  • (phased array system toolbox)
    classify radar and communications waveforms using the wigner-ville distribution (wvd) and a deep convolutional neural network (cnn).
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