DocumentCode
1431678
Title
Oversampled cosine modulated filter banks with perfect reconstruction
Author
Bölcskei, Helmut ; Hlawatsch, Franz
Author_Institution
Inst. of Commun. & Radio-Frequency Eng., Wien Univ., Austria
Volume
45
Issue
8
fYear
1998
fDate
8/1/1998 12:00:00 AM
Firstpage
1057
Lastpage
1071
Abstract
Oversampled filter banks (FBs) offer more design freedom and better noise immunity than critically sampled FBs. Due to the increased computational complexity caused by oversampling, oversampled FBs allowing an efficient implementation, such as cosine modulated filter banks (CMFBs), are of particular interest. So far, only critically sampled CMFBs have been considered. In this paper, we introduce oversampled CMFBs with perfect reconstruction (PR). Extending a classification of CMFBs recently proposed by Gopinath, we consider two types of oversampled CMFBs with PR. One of these types allows linear phase filters in all channels, and comprises CMFBs recently introduced by Lin and Vaidyanathan as well as Wilson-type CMFBs. For both types of oversampled CMFBs, we formulate PR conditions in the time, frequency, and polyphase domains. It is shown that any PR CMFB corresponds to a PR DFT FB with twice the oversampling factor and that (under a specific condition) the same PR prototype can be used for both CMFB types. We also show that the frame-theoretic properties of a CMFB and of the corresponding DFT FB are closely related. In particular, it is demonstrated that the minimum-norm synthesis prototype in an oversampled PR CMFB equals that in the corresponding DFT FB. Finally, we briefly address design methods and the efficient DCT/DST-based implementation of oversampled CMFBs
Keywords
FIR filters; digital filters; discrete Fourier transforms; filtering theory; signal reconstruction; signal sampling; DFT filter banks; Wilson-type; critically sampled; design methods; efficient implementation; frame-theoretic properties; frequency domain; linear phase filters; minimum-norm synthesis prototype; oversampled cosine modulated filter banks; paraunitarity conditions; perfect reconstruction; polyphase domain; time domain; Channel bank filters; Computational complexity; Design methodology; Discrete cosine transforms; Filter bank; Noise shaping; Nonlinear filters; Prototypes; Sampling methods; Signal to noise ratio;
fLanguage
English
Journal_Title
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7130
Type
jour
DOI
10.1109/82.718813
Filename
718813
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