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Using the EM algorithm to increase the number of signals estimable by 2-D parametric techniques

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1 Author(s)
Clark, M.P. ; Motorola Inc., Fort Worth, TX, USA

This paper provides an easy method for increasing the number of modes estimable by 2-D parameter estimation schemes which use a single snapshot of the data. For data of size M1×M2 few of these techniques allow the number of modes to exceed M1 and/or M2. As these restrictions are not inherent to the model but the algorithms themselves, this problem is circumvented by treating the observed data as an incomplete version of a larger data set. An existing 2-D parameter estimation scheme is then used for the maximization (M) step of the expectation-maximization (EM) algorithm. In this way, one can increase the number of modes the scheme can estimate without changing the scheme itself

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Signal Processing, IEEE Transactions on  (Volume:44 ,  Issue: 9 )