A hardware detector for constant envelope quadrature-quadrature phase-shift keying (CEQPSK) is proposed. It uses appropriate hard decisions; yet, it achieves optimum probability of bit error performance, unlike the suboptimum detector of Saha and Birdsall. This optimum performance is verified through Monte Carlo computer simulations. Additionally, a more correct expression is given for the prob...

We prove that the class of languages recognized by generalized quantum finite automata (GQFA's) with unbounded error equals the class of stochastic languages. The capability of performing additional intermediate projective measurements does not increase the recognition power of GQFA's over Kondacs-Watrous quantum finite automata in this setting. Unlike their probabilistic counterparts, allowing...

In this paper, we derive the Bayesian Cramér-Rao lower bound for three dimensional hybrid localization using time-of-arrival (ToA) and direction-of-arrival (DoA) types of measurements. Unlike previous works, we include the practical constraint that the anchor position is not known exactly but rather up to some error. The resulting bound can be used for error analysis of such a localization syst...

In 1998 May, the soft gamma repeater SGR1900+14 emerged from several years of quiescence and emit a series of intense bursts, one with a time history unlike any previously observed from this source. Triangulation using Ulysses , BATSE, and KONUS data give a 1.6 square arcminute error box near the galactic supernova remnant G42.8+0.6. This error box contains a quiescent soft X-ray source which i...

Location information of nodes in an ad hoc sensor network is essential to many tasks such as routing, cooperative sensing, and service delivery. Distributed node self-localization is lightweight and requires little communication overhead, but often suffers from the adverse effects of error propagation. Unlike other localization papers which focus on designing elaborate localization algorithms, ...

In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured images taken by hand-held camera in room-sized workspaces with maximum scene depth of 3-4...