Matlab Toolbox Quick Reference (Page 2 of 11) in pdf

Convert transfer function filter parameters to lattice

Real cepstrum and minimum phase reconstruction.

Compute an estimate of AR model parameters using

tf2latc

rceps

arcov

filter form.

the covariance method.

Convert digital filter transfer function data to second-

Compute an estimate of AR model parameters using

tf2sos

armcov

order sections form.

the modified covariance method.

Statistical Signal Processing and Spectral

Convert transfer function filter parameters to state-

Compute an estimate of AR model parameters using

tf2ss

aryule

Analysis

space form.

the Yule-Walker method.

Estimate magnitude squared coherence function

cohere

tf2zp

Convert transfer function filter parameters to zero-

ident

See the

System Identification Toolbox

between two signals.

pole-gain form.

documentation.

Compute the correlation coefficient matrix.

corrcoef

Convert digital filter zero-pole-gain parameters to

Identify continuous-time filter parameters from

zp2sos

invfreqs

second-order sections form.

Compute a data matrix for autocorrelation matrix

frequency response data.

corrmtx

estimation.

Convert zero-pole-gain filter parameters to state-

Identify discrete-time filter parameters from

zp2ss

invfreqz

space form.

Compute the covariance matrix.

frequency response data.

cov

Convert zero-pole-gain filter parameters to transfer

Estimate the cross spectral density (CSD) of two

Prony's method for time domain IIR filter design.

zp2tf

csd

prony

function form.

signals.

Compute a linear model using Steiglitz-McBride

stmcb

Estimate the power spectral density using the Burg

iteration.

pburg

method.

Windows

Estimate the power spectral density using the

pcov

covariance method.

Linear Prediction

Compute a Bartlett window.

bartlett

Estimate the pseudospectrum using the eigenvector

peig

Compute a Blackman window.

Convert an autocorrelation sequence to prediction

blackman

ac2poly

method.

polynomial.

Compute a rectangular window.

boxcar

Estimate the power spectral density (PSD) of a signal

periodogram

Convert an autocorrelation sequence to reflection

ac2rc

Compute a Chebyshev window.

using a periodogram.

chebwin

coefficients.

Compute a Hamming window.

Estimate the power spectral density using the

hamming

pmcov

Convert inverse sine parameters to reflection

is2rc

modified covariance method.

Compute the Hann (Hanning) window.

hann

coefficients.

Estimate the power spectral density using the

pmtm

Compute a Kaiser window.

Convert log area ratio parameters to reflection

kaiser

lar2rc

multitaper method (MTM).

coefficients.

Compute a triangular window.

triang

Estimate the power spectral density using MUSIC

pmusic

Compute the Levinson-Durbin recursion.

levinson

algorithm.

Compute linear prediction filter coefficients.

lpc

Plot power spectral density (PSD) data.

psdplot

Transforms

Convert line spectral frequencies to a prediction filter

lsf2poly

Estimate the power spectral density (PSD) of a signal

pwelch

coefficients.

czt

Chirp z-transform.

using Welch's method.

Convert a prediction filter polynomial to an

poly2ac

Discrete cosine transform (DCT).

dct

Estimate the power spectral density using the Yule-

pyulear

autocorrelation sequence.

Walker AR method.

Discrete Fourier transform matrix.

dftmtx

Convert prediction filter coefficients to line spectral

poly2lsf

Estimate frequency and power content using the

rooteig

Compute the one-dimensional fast Fourier transform.

frequencies.

fft

eigenvector method.

Compute the two-dimensional fast Fourier transform.

fft2

Convert a prediction filter polynomial to reflection

poly2rc

Estimate frequency and power content using the root

rootmusic

coefficients.

Rearrange the outputs of the FFT functions.

MUSIC algorithm.

fftshift

Convert reflection coefficients to an autocorrelation

rc2ac

Compute the discrete-time analytic signal using the

Estimate the transfer function from input and output.

hilbert

tfe

sequence.

Hilbert transform.

Estimate the cross-correlation function.

xcorr

Convert reflection coefficients to inverse sine

rc2is

Inverse discrete cosine transform.

idct

Estimate the two-dimensional cross-correlation.

parameters.

xcorr2

ifft

One-dimensional inverse fast Fourier transform.

Estimate the cross-covariance function (equal to

Convert reflection coefficients to log area ratio

xcov

rc2lar

Two-dimensional inverse fast Fourier transform.

mean-removed cross-correlation).

parameters.

ifft2

Convert reflection coefficients to a prediction filter

rc2poly

polynomial.

Cepstral Analysis

Parametric Modeling

Compute the reverse Levinson-Durbin recursion.

rlevinson

Complex cepstral analysis.

cceps

Compute an estimate of AR model parameters using

Compute reflection coefficients from an

arburg

schurrc

the Burg method.

autocorrelation sequence.

Inverse complex cepstrum.

icceps

Matlab Toolbox Quick Reference Page 2

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