Algorithms, Volume 12, Issue 1 (January 2019) – 27 articles
In many practical applications, the number of data-acquisition devices is growing at an exponential rate, such as in distributed networks, in massive multiple-input multiple-output (MIMO) antennas, and for social networks. This trend calls for the parsimonious use of the acquired data when considering the overwhelming resources required such as storage capacity.
In the era of Big Data, we face the challenge of efficiently utilizing a large amount of data to extract critical information.
In the context of adaptive filtering, the recently proposed strategy to perform data selection approximating a prescribed update rate appears to be promising. View this paper.
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