spectral analysis (MathScript RT Module Subclass)
Requires: MathScript RT Module
Member of the dsp class. Use members of the spectral analysis subclass to perform spectral analysis on signals.
| Function | Description |
|---|---|
| buffermx | Resizes a vector into a matrix |
| ccepstrum | Complex cepstrum |
| coherence | Estimates coherence of two signals with Welch method |
| coherence_ms | Magnitude-squared coherence estimation |
| corrcoeff | Correlation coefficients |
| corrmx | Toeplitz matrix |
| covarmx | Covariance matrix |
| crosscorr | Cross-correlation |
| crosscorr2d | Two-dimensional cross-correlation |
| crosscovar | Cross-covariance |
| crosspsd | Estimates cross power spectral density |
| crosssd | Estimates cross-spectrum density with Welch method |
| iccepstrum | Inverse complex cepstrum |
| minrepseq | Minimum-length repeating sequence |
| psd | Power spectral density using Welch method |
| psd_burg | Power spectral density using Burg algorithm |
| psd_covar | Power spectral density using covariance method |
| psd_mcovar | Power spectral density using modified covariance method |
| psd_periodogram | Power spectral density using periodogram method |
| psd_welch | Power spectral density using Welch method |
| psd_yule | Power spectral density using Yule-Walker method |
| pspec_eign | Pseudospectrum using eigenvector method |
| pspec_music | Pseudospectrum using multiple signal classification algorithm |
| rcepstrum | Real cepstrum |
| root_eign | Frequency and power components using eigenvector method |
| root_music | Frequency and power components using multiple signal classification algorithm |
| spectrogram | Computes the signal energy distribution |
| tf_estimate | Estimates transfer function |
| tf_estimateplot | Estimates a transfer function |