A Neural Current Model to Estimate the Current Waveform of Power / Ground Line
碩士 === 國立中央大學 === 電機工程研究所 === 92 === As IC process scale down, power supply is becoming small. Therefore, IC designer must consider the variation of power supply line that affects circuit operation. If we could know current information of power supply line in early design stage, then IC design may b...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2004
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| Online Access: | http://ndltd.ncl.edu.tw/handle/53651020946387056033 |
| Summary: | 碩士 === 國立中央大學 === 電機工程研究所 === 92 === As IC process scale down, power supply is becoming small. Therefore, IC designer must consider the variation of power supply line that affects circuit operation. If we could know current information of power supply line in early design stage, then IC design may become fast and effective.
Neural Network is good in estimation and Discrete Cosine Transform can translate irregular current waveform in time domain to regular form in frequency domain. Therefore, we propose a high-level model which combines Neural Network and DCT to reconstruct the current waveform of power supply line. The experiment shows it is possible to estimate current information in early design stage.
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