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This paper proposes a method for increasing the throughput of recursive least squares (RLS) adaptive filters when only a few processing elements (PEs) are available. Throughput can be traded against the rate of convergence by varying a parameter. Because the conventional methods for improving the throughput of an RLS filter require the use of more or faster PEs, the proposed technique will expand...
Modern Electronic Warfare systems need to provide real time location information in a consistent, unambiguous and timely manner. The time difference of arrival (TDOA) techniques used for location determination make use of the method of hyperbolic multilateration. One technique which is widely used for solving non linear hyperbolic equations is the Taylor Series method. This paper discusses the convergence...
Ant Colony Optimization Algorithms are the most successful and widely accepted algorithmic techniques based on the decentralized collaborative behavior of real ants when foraging for food. The initialization of pheromone in these algorithms is an important step because it dictates the speed of the system's convergence to the optimal solution. All the proposed initialization techniques in the literature...
NCS (Network Coordinate System) provides us an effective way through which we can predict a network node's distance. NCS has been applied to a huge number of Internet applications. In this paper, we build a differential dynamic model to analyze the global dynamical behavior of a famous NCS algorithm Vivaldi and study the convergence problem existing in it. As a result, our model suggest that TIVs...
With the goal of recovering the 2D tree structure present on grape vine binary images, in this paper we propose to use Mixture of Gaussians for canes segmentation. The main idea behind our approach is to use information criteria from model selection theory to guide directly the split-and-merge steps for learning Mixture of Gaussians via Expectation Maximization. A novel information criteria we found...
In this paper, the optimal multiplier technique widely used in the load flow calculation for AC power systems is extended to the integrated AC/DC power systems in detail and in depth. With the implementation of the optimal multiplier modification to the standard simultaneous method, the modified method is able to not only behave well for unsolvable cases by not diverging but also improve the convergence...
In this paper, we combine the adaptive conic trust region method with the quasi-Newton line search method, and then propose a new modified adaptive conic trust region algorithm which solves unconstrained optimization problems. The new algorithm not only retains the desirable global convergence of trust region methods and the local super-linear convergence of quasi-Newton methods, but also overcomes...
We review some recent techniques for 3D tracking and occlusion handling for computer vision-based augmented reality. We discuss what their limits for real applications are, and why object recognition techniques are certainly the key to further improvements.
In this paper, we address the problem of orthogonal frequency-division multiplexing (OFDM) channel estimation in the presence of phase noise (PHN) and carrier frequency offset (CFO). In OFDM systems, PHN and CFO cause two effects: the common phase error (CPE) and the intercarrier interference (ICI) which severely degrade the accuracy of the channel estimate. In literature, several algorithms have...
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