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作者:

Wang, Jinhui (Wang, Jinhui.) | Zuo, Lei (Zuo, Lei.) | Gong, Na (Gong, Na.) | Gao, Daming (Gao, Daming.) | Geng, Shuqin (Geng, Shuqin.) | Zhang, Wang (Zhang, Wang.) | Hou, Ligang (Hou, Ligang.) | Peng, Xiaohong (Peng, Xiaohong.) | Wu, Wuchen (Wu, Wuchen.) (学者:吴武臣)

收录:

CPCI-S

摘要:

An approach for estimating the leakage power and the speed of the dual threshold domino OR, gates based on Wavelet Neural Networks (WNN) in 45 mm technology is proposed. The estimating system has fast convergence and high precision. By studying the impact of the dual threshold voltage technique (DTV) on leakage reduction and delay increase, it successfully estimates the nonlinear changing of the leakage power and delay of the different inputs domino OR gates. At last, the reason for the estimating error and the trend of the estimating curve are explained, respectively.

关键词:

Dual threshold domino OR Leakage power Wavelet Neural Networks Speed

作者机构:

  • [ 1 ] [Wang, Jinhui]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 2 ] [Zuo, Lei]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 3 ] [Gao, Daming]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 4 ] [Geng, Shuqin]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 5 ] [Zhang, Wang]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 6 ] [Hou, Ligang]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 7 ] [Peng, Xiaohong]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 8 ] [Wu, Wuchen]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 9 ] [Gong, Na]Hebei Univ, Col Elect & Informat Engn, Baoding 071002, Peoples R China

通讯作者信息:

  • [Wang, Jinhui]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China

电子邮件地址:

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来源 :

ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 1, PROCEEDINGS

ISSN: 0302-9743

年份: 2009

卷: 5551

页码: 844-,

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

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