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This paper presents a swarm Intelligence based circuit partitioning technique using particle swarm optimization method. The circuit is divided into partitions and number of interconnections between them is minimized. The proposed method gives excellent results in solving the stochastic problem of circuit partitioning.
This paper presents a model order reduction technique based on balancing-free square root (BSR) method for high speed coupled integrated circuit interconnects. The salient features of this technique are the less CPU time resulting from the passivity of the reduced transfer function, and the availability of provable weighted error bounds for the reduced-order system. This paper also shows that the...
This paper presents a novel input/output interface circuit for field programmable gate array (FPGA) devices, which has high voltage tolerant and PCI compliant capabilities. In the proposed circuit, dynamic gate and N-well bias technology is used to eliminate gate-oxide overstress and Pad to output supply (Vcco) leakage current when FPGA devices operate with high voltage input, and to ensure that over-voltage...
A scalable Gummel-Poon model for high-speed SiGe HBTs is developed based on Gummel-Poon model in this paper. This model is well applied to simulation software of ADS and Hspice. The scaling is mainly based on different physical dimension of individual devices, all the scaling parameters in the scaling equations are extracted directly from the measurement data of various dimension. The correctness...
The potential utilization of memristor in future complex system draws worldwide attention. Since it can be used as an ultra-dense integrated component, many researchers make efforts to develop various applications of memristor. Here we present a modeling method based on nano-crossbar structure, with which the memristor behavioral model is constructed. At the same time, we analyze different methods...
A novel accurate and efficient modeling method based on Equivalent Circuit trained Artificial Neural Network (EC-ANN) technique is developed for a RF-MEMS extended tuning range varactor. The parameters are extracted directly from the equivalent circuit model and used as training and testing sets for the ANN. Experiments show that the proposed approach can be used to fast and accurately model the RF...
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