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TSP
2008
91views more  TSP 2008»
14 years 9 months ago
MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms
The concept of multiple-input multiple-output (MIMO) radars has drawn considerable attention recently. Unlike the traditional single-input multiple-output (SIMO) radar which emits ...
Chun-Yang Chen, P. P. Vaidyanathan
TSP
2008
113views more  TSP 2008»
14 years 9 months ago
Covariance Matrix Estimation With Heterogeneous Samples
We consider the problem of estimating the covariance matrix of an observation vector, using heterogeneous training samples, i.e., samples whose covariance matrices are not exactly ...
Olivier Besson, Stéphanie Bidon, Jean-Yves ...
TSP
2008
132views more  TSP 2008»
14 years 9 months ago
Robust Intervention in Probabilistic Boolean Networks
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
TSP
2008
88views more  TSP 2008»
14 years 9 months ago
Statistical Performance of MUSIC-Like Algorithms in Resolving Noncircular Sources
Abstract--This paper addresses the resolution of the conventional and noncircular MUSIC algorithms for arbitrary circular and noncircular second-order distributions of two uncorrel...
Habti Abeida, Jean Pierre Delmas
TSP
2008
180views more  TSP 2008»
14 years 9 months ago
Support Vector Machine Training for Improved Hidden Markov Modeling
We present a discriminative training algorithm, that uses support vector machines (SVMs), to improve the classification of discrete and continuous output probability hidden Markov ...
Alba Sloin, David Burshtein