sample autocovariance
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Author(s):  
P. Loubaton ◽  
D. Tieplova

The asymptotic behavior of the distribution of the squared singular values of the sample autocovariance matrix between the past and the future of a high-dimensional complex Gaussian uncorrelated sequence is studied. Using Gaussian tools, it is established that the distribution behaves as a deterministic probability measure whose support [Formula: see text] is characterized. It is also established that the squared singular values are almost surely located in a neighborhood of [Formula: see text].


Bernoulli ◽  
2014 ◽  
Vol 20 (3) ◽  
pp. 1234-1259 ◽  
Author(s):  
Anirban Basak ◽  
Arup Bose ◽  
Sanchayan Sen

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