Adaptation of memory depth in the gamma filter

  • Authors:

  • Jyh-Ming Kuo;S. Celebi

  • Affiliations:

  • Comput. Neuroeng. Lab., Florida Univ., Gainesville, FL, USA;Comput. Neuroeng. Lab., Florida Univ., Gainesville, FL, USA

  • Venue:
  • ICASSP '94 Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04
  • Year:
  • 1994

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Abstract

Gamma filters are a special class of generalized feedforward filters where feedbacks are allowed only locally. The authors present the conditions for the selection of optimal parameters which are the weights and the memory depth of the filter. The conditions for these two set of parameters are decoupled from each other. This allows a matched filter implementation which gives an estimate of the memory depth.