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...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2004
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/53651020946387056033 |
| id |
ndltd-TW-092NCU05442073 |
|---|---|
| record_format |
oai_dc |
| spelling |
ndltd-TW-092NCU054420732015-10-13T13:04:43Z http://ndltd.ncl.edu.tw/handle/53651020946387056033 A Neural Current Model to Estimate the Current Waveform of Power / Ground Line 利用類神經模型來估計電源線的電流波形之研究 Chao-Hsi Wang 王朝曦 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. Chien-Nan Liu 劉建男 2004 學位論文 ; thesis 50 zh-TW |
| collection |
NDLTD |
| language |
zh-TW |
| format |
Others
|
| sources |
NDLTD |
| description |
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.
|
| author2 |
Chien-Nan Liu |
| author_facet |
Chien-Nan Liu Chao-Hsi Wang 王朝曦 |
| author |
Chao-Hsi Wang 王朝曦 |
| spellingShingle |
Chao-Hsi Wang 王朝曦 A Neural Current Model to Estimate the Current Waveform of Power / Ground Line |
| author_sort |
Chao-Hsi Wang |
| title |
A Neural Current Model to Estimate the Current Waveform of Power / Ground Line |
| title_short |
A Neural Current Model to Estimate the Current Waveform of Power / Ground Line |
| title_full |
A Neural Current Model to Estimate the Current Waveform of Power / Ground Line |
| title_fullStr |
A Neural Current Model to Estimate the Current Waveform of Power / Ground Line |
| title_full_unstemmed |
A Neural Current Model to Estimate the Current Waveform of Power / Ground Line |
| title_sort |
neural current model to estimate the current waveform of power / ground line |
| publishDate |
2004 |
| url |
http://ndltd.ncl.edu.tw/handle/53651020946387056033 |
| work_keys_str_mv |
AT chaohsiwang aneuralcurrentmodeltoestimatethecurrentwaveformofpowergroundline AT wángcháoxī aneuralcurrentmodeltoestimatethecurrentwaveformofpowergroundline AT chaohsiwang lìyònglèishénjīngmóxíngláigūjìdiànyuánxiàndediànliúbōxíngzhīyánjiū AT wángcháoxī lìyònglèishénjīngmóxíngláigūjìdiànyuánxiàndediànliúbōxíngzhīyánjiū AT chaohsiwang neuralcurrentmodeltoestimatethecurrentwaveformofpowergroundline AT wángcháoxī neuralcurrentmodeltoestimatethecurrentwaveformofpowergroundline |
| _version_ |
1717730956899516416 |