P. G. Poonacha

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— One of the main challenges in Machine Type Communication (MTC) services in the 3GPP LTE networks is to improve device power efficiency for Machine to Machine (M2M) communication. We consider MTC application scenarios which consist of a number of devices connecting to the network concurrently. The methods considered in TR 37.868 involve Disjoint Allocation(More)
This paper presents a joint strategy for parameter estimation of Markov Random Field (MRF) model and image restoration. The proposed scheme is an unsu-pervised one in the sense that no a priori knowledge of the actual image is assumed. The technique of homo-topy continuation method is employed to estimate the model parameters. The model considered involves(More)
In this paper we compare analog to digital conversion (ADC) delay in Hopfield ADC and asymmetrical (lower triangular) neural network-based ADC due to Avitabile et al. (1991). It is shown that, although Hopfield ADC has extensive feedback, its behavior in asynchronous mode is similar to that of lower triangular ADC. It is also shown that any constant delay(More)
In this paper, we present an alternate approach to estimate the parameters of a Markov random field (MRF) model for images using the concepts of homotopy continuation method. We also develop a joint parameter estimation and image restoration scheme where we have used a fairly general model involving the line fields and tested on a real image. Simulation(More)
—Machine type communications (MTC) in 3G/4G networks is getting more attention recently due to bursty nature of traffic characteristics in contrast to Poisson type H2H traffic. A large number of methods have been suggested in the literature. In this paper we give a mathematical model on performance analysis of Disjoint Allocation (DA) and Joint Allocation(More)