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We study the performance of cognitive (secondary) users in a cognitive radio network which uses a channel whenever the primary users are not using the channel. The usage of the channel by the primary users is modelled by an ON-OFF renewal process. The cognitive users may be transmitting data using TCP connections and voice traffic. The voice traffic is given priority over the data traffic. We theoretically...
In this paper a general methodology is proposed for development of spiking neural networks (SNN) as a time series modeling task. A continuous firing temporal encoding scheme is employed in the developed model for efficient handling of temporal correlations in high dimensional chaotic time series. The universal nonlinear function approximation property and unique ability of temporally encoded SNN is...
Accurate, precise and reliable estimates of effort at early stages of project development holds great significance for the industry to meet the competitive demands of today's world. The inherent imprecision present in the inputs of the algorithmic models like constructive cost model (COCOMO) yields imprecision in the output, resulting in erroneous effort estimation. The development of software is...
Behavioral modeling of analog circuits is widely advocated and accepted means to speedup mixed-signal SoC level simulations. The validity of these simulation results is contingent on the quality of behavioral models used. This paper presents a verification methodology to establish equivalence of analog behavioral model and the SPICE circuit being modeled. The proposed methodology employs SPICE-on-top...
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