Title :
Polyphase adaptive filter banks for subband decomposition
Author :
Gerek, Ömer N. ; Cetin, A. Enis
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
fDate :
31 May-3 Jun 1998
Abstract :
Subband decomposition is widely used in signal processing applications including image and speech compression. In most practical cases, the goal is to obtain subband signals that are suitable for data compression. In this paper, we present perfect reconstruction (PR) polyphase filter bank structures in which the filters adapt to the changing input conditions. This leads to higher compression results for images containing sharp edges, text, and subtitles
Keywords :
adaptive filters; data compression; image coding; speech coding; changing input conditions; data compression; image compression; perfect reconstruction filter; polyphase adaptive filter banks; sharp edges; signal processing applications; speech compression; subband decomposition; subtitles; text; Adaptive filters; Adaptive signal processing; Decoding; Filter bank; Finite impulse response filter; Image coding; Matrix decomposition; Nonlinear filters; Speech processing; Statistics;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.694537
