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In this work, a new gradient based reverse modeling approach employing Artificial Neural Networks (ANNs) for systematic RF/microwave modeling is introduced. This approach is particularly suited to modeling scenarios, where standard ANN multi-layer perceptron (MLP) fails to deliver a satisfactory model. The proposed approach detects the simplest input-output relationship inherent to the modeling problem,...
This paper presents an optimization scheme for the synthesis of built-in self-test circuitry for embedded cores. This scheme is based on a two dimensional linear feedback shift registers that make use of XOR and XNOR gates. The proposed scheme results in configuration networks with up to 33% reduction in XOR gate inputs and up to 25% reduction in transistor count as compared to prior work in 2-D linear...
With the scaling of submicron device dimensions, the current density and the temperature of interconnects have increased many folds leading to component failure due to electromigration. This paper analyzes the effect of electromigration failures in the interconnect of SRAM-based Field Programmable Gate Arrays (FPGAs). The Mean Time to Failure (MTF) of interconnects is calculated for different benchmark...
Bus encoding schemes have been introduced to reduce the power consumption, noise and signal integrity in wide data buses. Negative effects of correlated switching are used to compare the effectiveness of different schemes. In this paper, we also take into account positive effects of correlated switching to compare bus encoding schemes that use subbuses.
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