mdwt: Discrete Wavelet Transform

In rwt: 'Rice Wavelet Toolbox' Wrapper

Discrete Wavelet Transform

Description

Computes the discrete wavelet transform y for input signal x using the scaling filter h.

Usage

mdwt(x, h, L)

Arguments

x	Finite 1D or 2D signal (implicitly periodized)
h	Scaling filter to be applied
L	Number of levels in wavelet decomposition. In the case of a 1D signal, length(x) must be divisible by 2^L; in the case of a 2D signal, the row and the column dimension must be divisible by 2^L. If no argument is specified, a full DWT is returned for maximal possible L.

Value

Returns a list with components:

y	Wavelet transform of the signal
L	Number of levels in wavelet decomposition

Author(s)

P. Roebuck [e-mail]

Examples

sig <- makesig(SIGNAL.LIN.CHIRP, 8)
h <- daubcqf(4)
L <- 2
ret.mdwt <- mdwt(sig$x, h$h.0, L)

rwt documentation built on June 14, 2022, 5:07 p.m.