FIR System Modeling and Identification in the Presence of Noise and with Band-Limited Inputs

@inproceedings{RABINERFIRSM,
  title={FIR System Modeling and Identification in the Presence of Noise and with Band-Limited Inputs},
  author={R. RABINER and Ronald E. Crochiere and Jont B. Allen}
}
— System identification, that is, the modeling and identification of a system from knowledge of its input and output signals, is a subject that is of considerable importance in many areas of signal and data processing. Because of the diversity of applications, a number of different methods for system identification with different advantages and disadvantages have been described and used in the literature. In this paper we investigate the performance of three well-known system identification… CONTINUE READING
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New reu 1 ts on the performance of a well known class of adaptive filters

  • D. Mitra
  • 1976

" A simple adaptive algorithm for real - time processing in antenna arrays Digital coding of speech waveforms : PCM , DPCM , and DM quantizers

  • L. J. Griffiths
  • 1974

An adaptive echo cancellor

  • M. M. Sondhi
  • 1967

Sequentially adaptive ( B . 37 ) prediction and coding of speech signals

  • S. V. Jones, J. L. Melsa
  • 1967

A unified approach to short - time Fourier analysis and synthesis

  • L. R. Rabiner
  • 1958

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