Publications

A transmission scheme is developed for the downlink frame of cellular networks.

The capacity of the multiple access channel (MAC) has been extensively studied previously.

We present an efficient, semi-optimum data-processing scheme for detecting a deterministic signal in white Gaussian noise and a random transient disturbance which occurs unpredictably and infrequen

In cognitive radio networks, the secondary (unlicensed) users need to find idle channels via spectrum sensing for their transmission.

Viral marketing campaigns seek to recruit the most influential individuals to cover the largest target audience. This can be modeled as the well-studied maximum coverage problem.

Maximum entropy criterion for estimating an unknown probability density function from its moments has been applied to evaluation of average error probability in digital communications.

The trigonometric moment problem stands at the source of many major streams in analysis.

Hidden Markov models (HMMs) for automatic speech recognition rely on high dimensional feature vectors to summarize the short-time properties of speech.

Linear and nonlinear exponential family and quasi-likelihood regression models form a class of models exhibiting a common structure that invites using one algorithmic framework to compute parameter

The mean-squared error performance and phase noise variance tolerance of a maximum likelihood carrier phase estimation based on Monte Carlo integration is evaluated and used as a baseline for compa