Title :
Matrix-Valued and Quaternion Wavelets
Author :
Ginzberg, P. ; Walden, Andrew T.
Author_Institution :
Dept. of Math., Imperial Coll. London, London, UK
Abstract :
Wavelet transforms using matrix-valued wavelets (MVWs) can process the components of vector-valued signals jointly. We construct some novel families of non-trivial orthogonal n×n MVWs for n=2 and 4 having several vanishing moments. Some useful uniqueness and non-existence results for filters with certain lengths and numbers of vanishing moments are proved. The matrix-based method for n=4 is used for the construction of a non-trivial symmetric quaternion wavelet with compact support. This is an important addition to the literature where existing quaternion wavelet designs suffer from some critical problems.
Keywords :
matrix algebra; wavelet transforms; matrix-valued wavelet; quaternion wavelet; vanishing moments; vector-valued signals; wavelet transforms; Equations; Multiresolution analysis; Quaternions; Vectors; Wavelet transforms; Matrix-valued wavelet; multichannel wavelet; multiwavelet; quaternion wavelet; vector-valued wavelet;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2012.2235434