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Tracker design based on target perceivability. IEEE Transactions on Aerospace and Electronic Systems, 37 (2001), 214—225. [9] Cong, S., and Hong, L. (1999) Computational complexity analysis for multiple hypothesis tracking. Math. Comput. Model, 29 (1999), 1—16. [10] Leung, H., Hu, Z., and Blanchette, M. (1996) Evaluation of multiple target track initiation(More)
This paper initiates a saturated function series approach for chaos generation. The systematic saturated function series methodology developed here can create multiscroll chaotic attractors from a three-dimensional (3D) linear autonomous system with a simple saturated function series controller, including one-directional -scroll, two-directional -grid(More)
This paper considers the problem of optimum prediction of noisy chaotic time series using a basis function neural network, in particular, the radial basis function (RBF) network. In the noiseless environment, predicting a chaotic time series is equivalent to approximating a nonlinear function. The optimal generalization is achieved when the number of hidden(More)
Conventional detection methods used in current marine radar systems do not perform efficiently in detecting small targets embedded in a clutter environment. Based on a recent observation that sea clutter, radar echoes from a sea surface, is chaotic rather than random, we propose using a spatial temporal predictor to reconstruct the chaotic dynamic of sea(More)
A probabilistic approach to compensate the nonlinear distortion caused by a high power amplifier (HPA) in a communication system is proposed here. This is a nonparametric method that involves estimating two probabilistic cumulative distribution functions without any explicit parameter estimation as in the conventional compensation techniques. It is shown(More)