EXACT RECONSTRUCTION ALGORITHMS FOR THE DISCRETE WAVELET TRANSFORM USING SPLINE-WAVELETS

被引:6
作者
BERGER, T
STROMBERG, JO
机构
关键词
D O I
10.1006/acha.1995.1028
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
By making a discrete finite time signal periodic, it is shown that nonorthogonal B-spline wavelets can be used in a discrete wavelet transform with exact decomposition and reconstruction. A nonrecursive algorithm using only Finite Impulse Response filters (FIR) with complexity O(N-2) is presented. The complexity is reduced to O(N log(2) N) by using Fast Fourier Transforms (FFT). A faster algorithm is obtained by using recursive filters in the decomposition or reconstruction of the signal. The recursive algorithm has complexity O(N), and the same accuracy as the others. By allowing nonsymmetric wavelets, an exact orthogonal reconstruction algorithm is shown, which also has complexity O(N). (C) 1995 Academic Press, Inc
引用
收藏
页码:392 / 397
页数:6
相关论文
共 17 条
[1]   A BLOCK SPIN CONSTRUCTION OF ONDELETTES .1. LEMARIE FUNCTIONS [J].
BATTLE, G .
COMMUNICATIONS IN MATHEMATICAL PHYSICS, 1987, 110 (04) :601-615
[2]  
Chui CK., 1992, INTRO WAVELETS
[3]   ORTHONORMAL BASES OF COMPACTLY SUPPORTED WAVELETS [J].
DAUBECHIES, I .
COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS, 1988, 41 (07) :909-996
[4]  
Daubechies I., 1992, CBMS NSF SERIES APPL, V61
[5]  
GROSSMAN A, 1989, INVERSE PROBLEMS THE, P2
[6]   On the theory of orthogonal function systems (First announcement) [J].
Haar, A .
MATHEMATISCHE ANNALEN, 1910, 69 :331-371
[7]  
LEMARIE PG, 1988, J MATH PURE APPL, V67, P227
[8]   CHARACTERIZATION OF SIGNALS FROM MULTISCALE EDGES [J].
MALLAT, S ;
ZHONG, S .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (07) :710-732
[9]   SINGULARITY DETECTION AND PROCESSING WITH WAVELETS [J].
MALLAT, S ;
HWANG, WL .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1992, 38 (02) :617-643
[10]   A THEORY FOR MULTIRESOLUTION SIGNAL DECOMPOSITION - THE WAVELET REPRESENTATION [J].
MALLAT, SG .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1989, 11 (07) :674-693