Convergence Property of Tri-Quantized-x NLMS Algorithm

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概要

• 論文の詳細を見る

• The signed regressor algorithm, a variation of the least mean square(LMS) algorithm, is characterized by the estimation way of using the clipped reference signals, namely, its sign (±). This clipping, equivalent to quantizing the reference signal to ±1, only increases the estimation error by about 2 dB. This paper proposes to increase the number of the quantization steps to three, namely, ±1 and 0, and shows that the 'tri-quantized-x' normalized least mean square(NLMS) algorithm with three quantization steps improves the convergence property.

• 社団法人電子情報通信学会の論文
• 2000-12-25

著者

• FUJII Kensaku

  Wireless Communication Systems Lab. (L41), FUJlTSU LABORATORIES LTD.

• TANAKA Yoshinori

  Wireless Communication Systems Lab. (L41), FUJlTSU LABORATORIES LTD.

• Fujii K

  Wireless Communication Systems Lab.(l41) Fujitsu Laboratories Ltd.

• Tanaka Y

  Fujitsu Lab. Ltd. Kawasaki‐shi Jpn

• Tanaka Yoshinori

  Wireless Communication Systems Lab.(l41) Fujitsu Laboratories Ltd.

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