Title :
M-band compactly supported orthogonal symmetric interpolating scaling functions
Author :
Shui, Peng-lang ; Bao, Zheng ; Zhang, Xian-Da
Author_Institution :
Key Lab. for Radr Signal Process., Xidian Univ., Xi´´an, China
fDate :
8/1/2001 12:00:00 AM
Abstract :
In many applications, wavelets are usually expected to have the following properties: compact support, orthogonality, linear-phase, regularity, and interpolation. To construct such wavelets, it is crucial designing scaling functions with the above properties. In two- and three-band cases, except for the Haar functions, there exists no scaling function with the above five properties. In M-band case (M⩾4), more free degrees available in design enable us to construct such scaling functions. A novel approach to designing such scaling functions is proposed. First, we extend the two-band Dubuc (1986) filters to the M-band case. Next, the M-band FIR regular symmetric interpolating scaling filters are parameterized, and then, M-band FIR regular orthogonal symmetric interpolating scaling filters (OSISFs) are designed via optimal selection of parameters. Finally, two family of four-band and five-band OSISFs and scaling functions are developed, and their smoothness are estimated
Keywords :
FIR filters; channel bank filters; interpolation; linear phase filters; signal resolution; wavelet transforms; Haar functions; M-band FIR regular orthogonal symmetric filters; M-band FIR regular symmetric filter; M-band compactly supported scaling functions; compact support; five-band OSISF; four-band OSISF; linear-phase; multiresolution anaysis; optimal parameter selection; orthogonal symmetric interpolating scaling filters; orthogonal symmetric interpolating scaling functions; regularity property; smoothness estimation; two-band Dubuc filters; wavelets; Finite impulse response filter; Image processing; Image reconstruction; Interpolation; Multiresolution analysis; Performance analysis; Phase distortion; Radar signal processing; Sampling methods; Wavelet analysis;
Journal_Title :
Signal Processing, IEEE Transactions on