ADAMIN: automated, accurate macromodeling of digital aggressors for power and ground supply noise prediction.
Zhe WangRajeev MurgaiJaijeet S. RoychowdhuryPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2005)
Keyphrases
- power consumption
- random noise
- prediction accuracy
- prediction model
- noise level
- low signal to noise ratio
- fully automated
- electricity markets
- load forecasting
- missing data
- noise reduction
- digital surface
- completely automated
- prediction algorithm
- automated analysis
- noise model
- semi automated
- additive noise
- noisy data
- computationally efficient
- digital content
- highly accurate
- high quality
- three dimensional
- noise sensitivity
- learning algorithm
- data sets