Title :
Noise Reduction Design of Perfect Reconstruction Oversampled Filter Banks
Author :
Chai, Li ; Zhang, Jingxin ; Zhang, Cishen ; Mosca, Edoardo
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic.
Abstract :
This paper studies the noise reduction design problem for oversampled filter banks (FBs) with perfect reconstruction (PR) constraint. Both the optimal design and worst case design are considered, where the former method caters for the noise with known power spectral density (PSD) and the latter one for the noise with unknown PSD. Explicit formulae involving only algebraic Riccati equation and matrix manipulations are provided for the general (IIR or FIR) oversampled PR FBs
Keywords :
FIR filters; IIR filters; Riccati equations; channel bank filters; matrix algebra; signal denoising; signal reconstruction; signal sampling; FIR filter; IIR filter; algebraic Riccati equation; matrix manipulations; noise reduction design; perfect reconstruction oversampled filter banks; power spectral density; Channel bank filters; Colored noise; Design engineering; Filter bank; Filtering; Finite impulse response filter; Noise reduction; Quantization; Riccati equations; Systems engineering and theory;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660632
