|Complex Cepstrum||Compute complex cepstrum of input|
|FFT||Fast Fourier transform (FFT) of input|
|IFFT||Inverse fast Fourier transform (IFFT) of input|
|Inverse Short-Time FFT||Recover time-domain signals by performing inverse short-time, fast Fourier transform (FFT)|
|Magnitude FFT||Compute nonparametric estimate of spectrum using periodogram method|
|Real Cepstrum||Compute real cepstrum of input|
|Short-Time FFT||Nonparametric estimate of spectrum using short-time fast Fourier transform (STFT) method|
|Zoom FFT||High-resolution FFT of a portion of a spectrum|
Cosine and Wavelet Transforms
|DCT||Discrete cosine transform (DCT) of input|
|DWT||Discrete wavelet transform (DWT) of input or decompose signals into subbands with smaller bandwidths and slower sample rates|
|IDCT||Inverse discrete cosine transform (IDCT) of input|
|IDWT||Inverse discrete wavelet transform (IDWT) of input or reconstruct signals from subbands with smaller bandwidths and slower sample rates|
|Wavelet Scattering||Model wavelet scattering network in Simulink|
- Transform Time-Domain Data into Frequency Domain
This example shows how to transform time-domain data into the frequency domain using the FFT block.
- Transform Frequency-Domain Data into Time Domain
When you want to transform frequency-domain data into the time domain, use the IFFT block.
- Linear and Bit-Reversed Output Order
Learn the meaning of linear and bit-reversed data order as used by the FFT and IFFT blocks.
- Wavelet Scattering (Wavelet Toolbox)
Derive low-variance features from real-valued time series and image data.
- Fault Detection Using Wavelet Scattering and Recurrent Deep Networks (Wavelet Toolbox)
Classify faults in acoustic recordings of air compressors using a wavelet scattering network paired with a recurrent neural network.
- Variable-Size Signal Support DSP System Objects
List of System objects that support variable-sized signals in DSP System Toolbox™.