This paper studies the iris recognition problem in the degraded iris images captured in non-ideal imaging conditions. In these circumstances iris recognition becomes challenging because of noisy factors such as the off-axis imaging, pose variation, image blurring, illumination change, occlusion, specular highlights and noise. We introduce a robust algorithm based on the Random Sample Consensus ...

We consider the problem of channel estimation when non-ideal training information (pilots) is available such as in Turbo equalization, where this information are probabilities about the transmitted symbols of varying reliability. We study how these probabilities can be incorporated into common estimation algorithms by observing the estimation error statistics. We consider the two cases that the...

Nowadays, there are many products that provide personal wireless services to users who are on the move. Multiple antenna diversity is usually required to make a wireless link more reliable. User terminals have to be small enough to consume and emit low power. As a result, antennas cannot be spaced far apart enough to have independent and diverse branches for the received signals. Another issue ...

We describe a theoretically foundational but potentially practical control-theoretic basis for multisensormultitarget sensor management using a comprehensive, intuitive, system-level Bayesian paradigm based on random set theory. We focus on mobile sensors whose states are observed indirectly by internal actuator sensors. We determine optimal controls (future sensor states) using a "probabilisti...

The construction of rational agents is one of the goals that has been pursued in Artiicial Intelligence (AI). In most of the architectures that have been proposed for this kind of agents, its behaviour is guided by its set of beliefs. In our work, rational agents are those systems that are permanently engaged in the process of rational inquiry; thus, their beliefs keep evolving in time, as a co...

In this paper we summarize our recently proposed work on the information theory analysis of nonlinear regenerative channels. We discuss fundamental assumptions in our modelling approach and we show that through proper manipulation of the regenerator properties Shannon capacities higher than the limits of the corresponding linear channels can be achieved.

We demonstrate the folded ultrafast nonlinear interferometer (FUNI) as a 3R all-optical regenerator. Faraday rotation provides inherent polarization stabilization, and the optical fiber nonlinear medium provides ultrafast operation and switching window tunability. We demonstrate 3R regeneration of 10-Gbit/s data with 5-pJ pulse switching energy and 4-ps timing-jitter tolerance.

This paper provides a modeling approach for average current control (ACC) operating in open-loop configuration. The converters chosen are non-ideal boost and synchronous continuous conduction mode (CCM). Initially, these mathematically modeled considering all the non-idealities using volt-sec amp-sec balance equations simulated MATLAB Simulink. transfer function of switch or inductor (Gid) to d...