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变换

傅里叶、chirp Z、DCT、希尔伯特、倒频谱、沃尔什-哈达玛

Signal Processing Toolbox™ 提供的函数可用于计算广泛使用的正变换和逆变换,包括快速傅里叶变换 (FFT)、离散余弦变换 (DCT) 和沃尔什-哈达玛变换。提取信号包络并使用分析信号估计瞬时频率。在时频域中分析信号。研究幅值-相位关系,估计基频,并使用倒频谱检测频谱周期性。使用二阶格兹尔算法计算离散傅里叶变换。

函数

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abs绝对值和复数的模
angle相位角
fft快速傅里叶变换
ifft快速傅里叶逆变换
fftshift将零频分量移到频谱中心
ifftshift逆零频平移
dftmtx离散傅里叶变换矩阵
fft2二维快速傅里叶变换
ifft2二维快速傅里叶逆变换
instfreqEstimate instantaneous frequency
cztChirp Z-transform
goertzelDiscrete Fourier transform with second-order Goertzel algorithm
dctDiscrete cosine transform
idctInverse discrete cosine transform
envelope信号包络
fwhtFast Walsh-Hadamard transform
ifwhtInverse Fast Walsh-Hadamard transform
hilbertDiscrete-time analytic signal using Hilbert transform
emdEmpirical mode decomposition
fsstFourier synchrosqueezed transform
ifsstInverse Fourier synchrosqueezed transform
hhtHilbert-Huang transform
pspectrumAnalyze signals in the frequency and time-frequency domains
spectrogramSpectrogram using short-time Fourier transform
xspectrogramCross-spectrogram using short-time Fourier transforms
stftShort-time Fourier transform
dlstftDeep learning short-time Fourier transform (自 R2021a 起)
stftLayerShort-time Fourier transform layer (自 R2021b 起)
istftLayerInverse short-time Fourier transform layer (自 R2024a 起)
stftmag2sigSignal reconstruction from STFT magnitude (自 R2020b 起)
istftInverse short-time Fourier transform
dlistftDeep learning inverse short-time Fourier transform (自 R2024a 起)
vmdVariational mode decomposition (自 R2020a 起)
wvdWigner-Ville distribution and smoothed pseudo Wigner-Ville distribution
xwvdCross Wigner-Ville distribution and cross smoothed pseudo Wigner-Ville distribution
ccepsComplex cepstral analysis
iccepsInverse complex cepstrum
rcepsReal cepstrum and minimum-phase reconstruction
bitrevorderPermute data into bit-reversed order
digitrevorderPermute input into digit-reversed order

主题

离散傅里叶变换和余弦变换

希尔伯特变换和沃尔什-哈达玛变换

倒频谱分析