Title | ||
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Switching and leakage power modeling for multiple-supply dynamic gate with delay constraining based on wavelet neural networks |
Abstract | ||
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A model for forecasting the switching power, leakage power and delay of the multiple-supply dynamic OR gates based on wavelet neural networks in 45 nm technology is proposed. By studying the impact of the multiple-supply technique (MST) on the power and delay characteristics, the proposed forecasting model could forecast the nonlinear changing of the switching power, leakage power and delay of the different inputs dynamic OR gates with fast speed convergence and high precision. At last, the trend of the forecasting curve is discussed. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/IJCNN.2009.5178734 | IJCNN |
Keywords | Field | DocType |
fast speed convergence,forecasting curve,multiple-supply dynamic gate,proposed forecasting model,delay characteristic,leakage power,leakage power modeling,nm technology,different input,multiple-supply technique,wavelet neural network,high precision,cmos technology,wavelet transforms,circuits,transistors,testing,switches,predictive models,threshold voltage,artificial neural networks,neural nets,forecasting,neural networks,logic gates,propagation delay,technology forecasting | Logic gate,Computer science,Electronic engineering,Real-time computing,OR gate,Artificial intelligence,Artificial neural network,Wavelet transform,Technology forecasting,Propagation delay,Pattern recognition,CMOS,Transistor | Conference |
ISSN | Citations | PageRank |
2161-4393 | 0 | 0.34 |
References | Authors | |
9 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
jianping wang | 1 | 40 | 5.87 |
w wu | 2 | 62 | 12.87 |
Na Gong | 3 | 68 | 16.09 |
Lei Zuo | 4 | 162 | 19.48 |
Lei Hou | 5 | 37 | 8.93 |
Shuqin Geng | 6 | 4 | 3.17 |
weiqing zhang | 7 | 0 | 0.34 |
dashan gao | 8 | 0 | 0.34 |