Wavelet Toolbox Previous page   Next Page
iswt2

Inverse discrete stationary wavelet transform 2-D

Syntax

Description

iswt2 performs a multilevel 2-D stationary wavelet reconstruction using either a specific orthogonal wavelet ('wname', see wfilters for more information) or specific reconstruction filters (Lo_R and Hi_R).

X = iswt2(SWC,'wname') or X = iswt2(A,H,V,D,'wname') or X = iswt2(A(:,:,end),H,V,D,'wname') reconstructs the signal X, based on the multilevel stationary wavelet decomposition structure SWC or [A,H,V,D] (see swt2).

X = iswt2(SWC,Lo_R,Hi_R) or X = iswt2(A,H,V,D,Lo_R,Hi_R) or X = iswt2(A(:,:,end),H,V,D,Lo_R,Hi_R) reconstructs as above, using filters that you specify.

Lo_R and Hi_R must be the same length.

Examples

Algorithm

See the section "Stationary Wavelet Transform" in Chapter 6, "Advanced Concepts", of the User's Guide.

See Also
idwt2, swt2, waverec2

References

Nason, G.P.; B.W. Silverman (1995), "The stationary wavelet transform and some statistical applications," Lecture Notes in Statistics, 103, pp. 281-299.

Coifman, R.R.; Donoho D.L. (1995), "Translation invariant de-noising," Lecture Notes in Statistics, 103, pp. 125-150.

Pesquet, J.C.; H. Krim, H. Carfatan (1996), "Time-invariant orthonormal wavelet representations," IEEE Trans. Sign. Proc., vol. 44, 8, pp. 1964-1970.


Previous page  iswt laurmat Next page

© 1994-2005 The MathWorks, Inc.