On efficient implementation of oversampled linear phase perfect reconstruction filter banks

  • Authors:
  • Jie Liang;Lu Gan;Chengjie Tu;T. D. Tran;Kai-Kuang Ma

  • Affiliations:
  • Dept. of Electr. Comput. Eng.,, Johns Hopkins Univ., Baltimore, MD, USA;Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA;Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA;Fraunhofer Inst. for Commun. Syst., Munich, Germany;NTT Data Corp., Tokyo, Japan

  • Venue:
  • ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
  • Year:
  • 2003

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Abstract

In this paper, we first present an alternative way of generating over-sampled linear phase perfect reconstruction filter banks (OSLP-PRFB). We show that this method provides the minimal factorization of a subset of existing OSLPPRFB. The combination of the new structure and the conventional one leads to efficient implementations of a general class of OSLPPRFB. Possible application of the new scheme is discussed.