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The peak envelope or intensity of a sonar signal is an important quantity in many applications (e.g., object detection, fish density estimation, and quantifying risk to marine mammals). However, modeling, prediction, and analysis is often limited to second-order statistics (e.g., sonar equation, transmission loss). Standard techniques from order-statistics are applied to approximate sonar signal peak...
Soft errors, caused by radiation, have become a major challenge in today's computer systems and networking equipment, making it imperative that systems be designed to be resilient to errors. Error injection is a powerful approach to evaluate system resilience, and current practice is to inject errors in architectural registers of processors, program variables of applications, or storage elements in...
The mixture of a Rayleigh probability density function (PDF) and a K PDF is proposed for representing active sonar data comprising clutter sparsely observed in a Rayleigh-distributed background. While both the Rayleigh and K distributions have been shown to accurately represent the statistics of certain types of active sonar data, it is common to observe data containing both echoes from distinct clutter...
Particle Swarm Optimization (PSO) is arguably one of the most popular nature- inspired algorithms for real parameter optimization at present. The existing theoretical research on PSO is mostly based on the gbest (global best) particle topology, which usually is susceptible to false or premature convergence over multi-modal fitness landscapes. The present standard PSO (SPSO 2007) uses an lbest (local...
Differential evolution (DE) is well known as a simple and efficient algorithm for global optimization over continuous spaces. This article provides a simple mathematical model of the underlying evolutionary dynamics of a one-dimensional DE. The model relates the search process of DE with the classical gradient descent search and also analyzes the convergence behavior of a DE population, very near...
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