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Scilab help >> Signal Processing > Signal

Signal

Signal manual description

Filters

analpf

analog low-pass filter

buttmag

squared magnitude response of a Butterworth filter

casc

creates cascade realization of filter

cheb1mag

square magnitude response of a type 1 Chebyshev filter

cheb2mag

square magnitude response of a type 1 Chebyshev filter

chepol

recursive implementation of Chebychev polynomial

convol

convolution of 2 discrete series

ell1 mag

squared magnitude of an elliptic filter

eqfir

minimax multi-band, linear phase, FIR filter

eqiir

design of iir filter

faurre

optimal lqg filter.

lindquis

optimal lqg filter lindquist algorithm

ffilt

FIR low-pass,high-pass, band-pass, or stop-band filter

filter

compute the filter model

find_freq

parameter compatibility for elliptic filter design

findm

for elliptic filter design

frmag

magnitude of the frequency responses of FIR and IIR filters.

fsfirlin

design of FIR, linear phase (frequency sampling technique)

fwiir

optimum design of IIR filters in cascade realization,

iir

designs an iir digital filter using analog filter designs.

iirgroup

group delay of iir filter

iirlp

Lp IIR filters optimization

group

calculate the group delay of a digital filter

remezb

minimax approximation of a frequency domain magnitude response.

kalm

Kalman update and error variance

lev

resolve the Yule-Walker equations :

levin

solve recursively Toeplitz system (normal equations)

srfaur

square-root algorithm for the algebraic Riccati equation.

srkf

square-root Kalman filter algorithm

sskf

steady-state Kalman filter

system

generates the next observation given the old state

trans

transformation of standardized low-pass filter into low-pass, high-pass, band-pass, stop-band.

wfir

linear-phase windowed FIR low-pass, band-pass, high-pass, stop-band

wiener

Wiener estimate (forward-backward Kalman filter formulation)

wigner

time-frequency wigner spectrum of a signal.

window

calculate symmetric window

zpbutt

Butterworth analog filter

zpch1

poles of a type 1 Chebyshev analog filter

zpch2

poles and zeros of a type 2 Chebyshev analog filter

zpell

poles and zeros of prototype lowpass elliptic filter

Spectral estimation

corr

correlation coefficients

cspect

spectral estimation using the modified periodogram method.

czt

chirp z-transform algorithm

intdec

change the sampling rate of a 1D or 2D signal

mese

calculate the maximum entropy spectral estimate

pspect

auto and cross-spectral estimate

wigner

Wigner-Ville time/frequency spectral estimation

Transforms

dft

discrete Fourier transform

fft

fast flourier transform

hilb

Hilbert transform centred around the origin.

hank

hankel matrix of the covariance sequence of a vector process

mfft

fft for a multi-dimensional signal

Identification

lattn,lattp

recursive solution of normal equations

phc

State space realisation by the principal hankel component approximation method,

rpem

identification by the recursive prediction error method

Miscellaneous

sinc

calculate the function sin(2*pi*fl*t)/(pi*t)

sincd

calculates the function Sin(N*x)/Sin(x)

%k

Jacobi's complete elliptic integral

%asn

.TP the elliptic integral :

%sn

Jacobi 's elliptic function with parameter m

bilt

bilinear transform or biquadratic transform.

jmat

permutes block rows or block columns of a matrix

<< How to Signal Processing analpf >>

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Last updated:
Wed Oct 05 12:09:56 CEST 2011