This paper describes a new on-demand wake-up prediction policy for reducing leakage power. The key insight is that branch prediction can be used to selectively wake up only the nee...
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Pre-development in the automotive sector is informally organized to support the engineers trying out new ideas and generally being creative. If feasibility studies reveal system...
This paper proposes a novel analytical model to predict zero quantized DCT coefficients for fast video encoding. The dynamic range of quantized DCT coefficients are analyzed and...
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...