tuneR (version 0.4-2)

dolpc: (Perceptive) Linear Prediction

Description

Compute autoregressive model from spectral magnitude samples via Levinson-Durbin recursion.

Usage

dolpc(x, modelorder = 8)

Arguments

x

Matrix of spectral magnitude samples (each sample/time frame in one column).

modelorder

Lag of the AR model.

Value

• Returns a matrix of the normalized AR coefficients (depending on the input spectrum: LPC or PLP coefficients). Every column represents one time frame.

concept

• lpc
• plp
• levinson
• durbin
• recursion

References

Daniel P. W. Ellis: http://www.ee.columbia.edu/~dpwe/resources/matlab/rastamat/

See Also

levinson

Examples

testsound <- normalize(sine(400) + sine(1000) + square(250), "16")
  pspectrum <- powspec(testsound@left, [e-mail])
  aspectrum <- audspec(pspectrum, [e-mail])$aspectrum
  lpcas <- dolpc(aspectrum, 10)