English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

This paper addresses the asymptotic behavior of a particular type ofinformation-plus-noise-type matrices, where the column and row number of thematrices are large and of the same order, while signals are diverged and timedelays of the channel are fixed. We prove that the empirical spectraldistribution (ESD) of the large dimension sample covariance matrix and awell-studied spiked central Wishart matrix converge to the same distribution.As an application, an asymptotic power function is presented for the generallikelihood ratio statistics for testing the presence of signal in large arraysignal processing.

Analysis on the Empirical Spectral Distribution of Large Sample Covariance Matrix and Applications for Large Antenna Array Processing