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rwt (version 1.0.0)

midwt: Inverse Discrete Wavelet Transform

Description

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

Usage

midwt(y, h, L)

Arguments

y
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:
x
Periodic reconstructed signal
L
Number of levels in wavelet decomposition

Examples

Run this code
sig <- makesig(SIGNAL.LIN.CHIRP, 8)
h <- daubcqf(4)
L <- 1
ret.mdwt <- mdwt(sig$x, h$h.0, L)
ret.midwt <- midwt(ret.mdwt$y, h$h.0, ret.mdwt$L)

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