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Parameter Variation Sensing and Estimation in Nanoscale Fabrics
parameter variation NASIC on-chip variation sensor nanowire FETs
2014/12/8
Parameter variations introduced by manufacturing imprecision are becoming more influential on circuit performance. This is especially the case in emerging nanoscale fabrics due to unconventional manuf...
Spaced-Antenna Wind Estimation Using an X-Baand Phased-Array Weather Radar
Pure sciences Earth sciences Wind estimation Phased-array Weather radar Signal processing
2014/11/7
Over the past few decades, several single radar methods have been developed to probe the kinematic structure of storms. All these methods trade angular-resolution to retrieve the wind-field. To date, ...
Stator resistance estimation using ANN in DTC IM drives
Induction machine direct torque control (DTC) artificial neural network stator resistance estimation
2010/10/12
Torque control of induction motors (IM) requires accurate estimation of the flux in the motor. But the flux estimate, when estimated from the stator circuit variables, is highly dependent on the stato...
Low power and less area architecture for integer motion estimation
sum of absolute difference high speed DSP
2010/2/2
Full search block matching algorithm is widely
used for hardware implementation of motion estimators in
video compression algorithms. In this paper we are proposing
a new architecture, which consis...
TRANSDUCER-SHAPE OPTIMIZATION FOR ANGLE ESTIMATION OF A BROADBRAND MONAURAL SONAR SYSTEM
artificial intelligence bionics computer simulation
2010/1/12
In this paper we describe a procedure for the search of the optimal trans-ducer geometry for a monaural, broadband sonar system. We restrict ourselves to a simple transducer morphology that can be tec...
A Monte-Carlo Approach for the Estimation of Average Transition Probabilities in Sequential Logic Circuits
Monte-Carlo approach STG VLSI circuits Simulations
2010/12/8
This paper presents an efficient and accurate Monte-Carlo approach to the problem of estimating average node switching probabilities in sequential circuits, which are used in average power estimation ...
A New Statistical Method for Maximum Power Estimation in CMOS VLSI Circuits
Maximum power reliability CMOS VLSI circuits statistics extremes
2010/12/8
A method for maximum power estimation in CMOS VLSI circuits is proposed. The method is based on extreme value theory and allows for the calculation of the upper end point of the probability distributi...