Translator Disclaimer
Paper
5 April 2000 Causal stable matched IIR wavelets and perfect reconstruction filter banks
Author Affiliations +
Abstract
Finite Impulse Response (FIR) filters have been the major players in the Wavelets and Multiresoltion Analysis field; mainly due to their ease of design and understandable nature, as well as their well behaved characteristics such as stability and linear phase response. However, it has been demonstrated that in a number of cases IIR filters are more appropriate. This paper describes a new solution for the wavelet conditions to derive stable IIR filters that are matched in a least squares sense to specified frequency responses. The derived solution treats independently the numerator and denominator in the rational transfer function. This solution can be applied to any IIR wavelet filter bank satisfying the orthogonality and perfect reconstruction conditions. Based on the proposed solutions, a new IIR wavelet filter bank with the low pass filter matched to a desired frequency response is developed.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raghuveer M. Rao, Alex A. Lopez-Estrada, Ajit S. Bopardikar, and Harold H. Szu "Causal stable matched IIR wavelets and perfect reconstruction filter banks", Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); https://doi.org/10.1117/12.381684
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Filtering time series with topology
Proceedings of SPIE (October 28 1994)
HDTV Subband DCT Coding Using IIR Filter Banks Coding...
Proceedings of SPIE (November 01 1989)
FPGA design of MOMS-based sampling rate converters
Proceedings of SPIE (April 03 2008)
Signal extensions in perfect reconstruction filter banks
Proceedings of SPIE (September 16 1996)
Progressive optimization in subband trees
Proceedings of SPIE (September 16 1994)

Back to Top