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Truncated squarer with minimum mean-square error

Microelectronics Journal, 2014
Abstract Squaring is an important arithmetic operation required in a multitude of applications. In this paper we present a truncated squarer that, with an n-bit input, produces its output on a number of bits that can be defined at design time in the [n,2n] range.
PETRA, NICOLA   +4 more
openaire   +3 more sources

A Shrinkage Linear Minimum Mean Square Error Estimator

IEEE Signal Processing Letters, 2013
The conventional linear minimum mean square error (LMMSE) estimator is commonly implemented through the sample covariance matrix. This estimator can only be implemented if the sample size N is higher than the observation dimension M. Moreover, this estimator performs poorly when the sample size is not sufficiently large.
Chao-Kai Wen   +2 more
exaly   +2 more sources

Minimum mean square error vector precoding

European Transactions on Telecommunications, 2006
AbstractWe derive theminimum mean square error(MMSE) solution to vector precoding for frequency flat multiuser scenarios with a centralised multi‐antenna transmitter. The receivers employ a modulo operation, giving the transmitter the additional degree of freedom to choose aperturbation vector.
David A. Schmidt   +2 more
openaire   +1 more source

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