TSA Vector MUSIC (Array) VI
- Updated2025-12-08
- 3 minute(s) read
Computes the single-sided power spectral density (PSD) of a univariate or multivariate (vector) time series using the multiple signal classification (MUSIC) method. The MUSIC method performs a comprehensive and accurate spectral analysis on multivariate time series. Wire data to the Xt input to determine the polymorphic instance to use or manually select the instance.

Inputs/Outputs
sampling rate
—
sampling rate specifies the sampling rate, in hertz, of the univariate time series Xt. The default is 1.
frequency bins
—
frequency bins specifies the number of frequency bins for which this VI computes the single-sided power spectral density PSD. The length of the single-sided PSD is (frequency bins/2+1). The default is 1024.
Xt
—
Xt specifies the multivariate (vector) time series. Each column of the 2D array represents a vector at certain time.
window
—
window specifies the time-domain window applied on the time series in frequency computation.
error in (no error)
—
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
dB on? (T)
—
dB on? specifies whether this VI returns the PSD in decibels or in a linear scale. If dB on? is TRUE, this VI returns the PSD in decibels. If dB on? is FALSE, this VI returns the PSD in a linear scale. The default is TRUE.
subspace settings
—
subspace settings specifies options for the MUSIC method.
PSD
—
PSD returns information about the single-sided power spectral density (PSD).
error out
—
error out contains error information. This output provides standard error out functionality. |
sampling rate
—
frequency bins
—
Xt
—
window
—
error in (no error)
—
dB on? (T)
—
subspace settings
—
PSD
—
f0
—
S(f)
—
error out
—