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This paper describes SPICE-compatible macromodels to model the nonlinear behavior of operational amplifiers (Op Amp) and current feedback operational amplifiers (CFOA). The proposed macro-models include not only those performance parameters more important of the Op Amp and CFOA like the dynamic range, slew-rate, DC gain and gain-bandwidth product, but parasitic resistors and capacitors associated...
A conventional grey Markov model will produce large errors when it's used for the prediction of a sequence with large volatility. These errors can lead to prediction failure. So it is necessary to improve the model. In order to reduce the volatility, the logarithm of the original sequence is firstly calculated, and then the minimum error is used to replace the relative error of the grey model. After...
Attracting more students into science and engineering disciplines concerned many researchers for decades. Literature used traditional statistical methods and qualitative techniques to identify factors that affect student retention up most and predict their persistence. In this paper we developed two neural network models using a feed-forward backpropagation network to predict retention for students...
This paper deals with the problem that how to use the distance information of millimeter wave (MMW) radar in the target-tracking of forward looking infrared (FLIR) image sequences. Many conventional image based trackers use timing updating to update template, but how to confirm an appropriate updating period is a difficult problem. However, the presence of noise and image magnification as the camera...
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