Theory of cyclic filter banks

We introduce the fundamentals of cyclic multirate systems and filter banks and present a number of important differences between the cyclic and noncyclic (traditional) cases. Some of the additional freedom offered by cyclic systems is pointed out, and a number of open issues are summarized.

[1]  Veyis Nuri,et al.  Size-limited filter banks for subband image compression , 1995, IEEE Trans. Image Process..

[2]  Henrique S. Malvar,et al.  Signal processing with lapped transforms , 1992 .

[3]  Gunnar Karlsson,et al.  Extension of finite length signals for sub-band coding , 1989 .

[4]  Mark J. T. Smith,et al.  Analysis/synthesis techniques for subband image coding , 1990, IEEE Trans. Acoust. Speech Signal Process..

[5]  Hitoshi Kiya,et al.  Property of circular convolution for subband image coding , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[6]  Ricardo L. de Queiroz,et al.  On reconstruction methods for processing finite-length signals with paraunitary filter banks , 1995, IEEE Trans. Signal Process..

[7]  Li Chen,et al.  Symmetric extension methods for M-channel linear-phase perfect-reconstruction filter banks , 1995, IEEE Trans. Signal Process..

[8]  Mark J. T. Smith,et al.  Exact reconstruction techniques for tree-structured subband coders , 1986, IEEE Trans. Acoust. Speech Signal Process..

[9]  P. Vaidyanathan.  Multirate Systems And Filter Banks , 1992 .