In this paper, using the EDGE system as an example, we apply a Kalman-filter power control method based on interference tracking and prediction to packet voice service in wireless networks. Our results reveal that power control significantly improves the spectral efficiency by enabling 1/3 frequency reuse while maintaining a stringent requirement of 2% packet loss probability for voice service....

Traceability is a prerequisite for developing high quality (software) systems. Recording and maintaining all available information is too labor intensive and thus by far too expensive. A project-specific definition of the trace information to be recorded and the method fragments (so called trace fragments) to be executed for recording the information provides a solution for this problem. But th...

This paper describes how a constrained nonlinear least-squares optimization approach can be used to recover the configuration of the segments in an arbitrary mechanical system from motion capture data. By appending the difference between markers in the model and the measured marker trajectories to the set of kinematic constraint equations, a set of over-determinate nonlinear equations will be o...

In the present paper a novel structure for optical channel drop filter (CDF) based on photonic crystal ring resonator with circular core has been proposed. In order to design the proposed CDF, the plan wave expansion (PWE) method is applied for calculation of band structure and photonic band gap while the transmission characteristics of proposed CDF have been calculated using the finite differe...

Usage of cellular phones and small form factor devices as PDAs and other handhelds has been increasing rapidly. Their use is varied, with scenarios such as communication, internet browsing, audio and video recording just to name a few. This requires better sound capturing system as the sound source is already at larger distance from the device’s microphone. In this paper we propose sound captur...

This paper presents an alternative means of deriving and discretizing spectral distances and kernels on a 3D shape by filtering its Laplacian spectrum. Through the selection of a filter map, we design new spectral kernels and distances, whose smoothness and encoding of both local and global properties depend on the convergence of the filtered Laplacian eigenvalues to zero. Approximating the dis...

In human motion analysis, the joint estimation of appearance, body pose and location parameters is not always tractable due to its huge computational cost. In this paper, we propose a Rao-Blackwellized Particle Filter for addressing the problem of human pose estimation and tracking. The advantage of the proposed approach is that RaoBlackwellization allows the state variables to be splitted into...

This paper presents a new approach to robot vision-based self-localization in dynamic and noisy environments for legged robots when efficiency is a strong requirement. The major contribution of this paper is the improvement of a Markovian method based on a fuzzy occupancy grid (FMK). Our proposal combines FMK with a population of Extended Kalman Filters, making the complete algorithm both robus...