Results 161 to 170 of about 1,530,208 (226)

Linear Minimum Mean Square Error Demosaicking

Single-Sensor Imaging, 2018
D. Alleysson, Brice Chaix
semanticscholar   +2 more sources

Minimum Mean-Square Error Estimation of Mel-Frequency Cepstral Features–A Theoretically Consistent Approach

IEEE/ACM Transactions on Audio Speech and Language Processing, 2015
J. Jensen, Zheng-Hua Tan
semanticscholar   +3 more sources

Functional Properties of Minimum Mean-Square Error and Mutual Information

IEEE Transactions on Information Theory, 2012
Yihong Wu, S. Verdú
semanticscholar   +3 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.
D.A. Schmidt, M. Joham, W. Utschick
openaire   +1 more source

Minimum mean-square error quadrature

Journal of Statistical Computation and Simulation, 1993
Minimum mean squared error linear estimators of the area under a curve are considered for cases when the observations are observed with error. The underlying functional form giving rise to the observations is left unspecified, leading to use of quadrature estimators for the true area.
Walter W. Piegorsch, A. John Bailer
openaire   +1 more source

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, DE CARO, Davide, GAROFALO, VALERIA, NAPOLI, ETTORE, STROLLO, ANTONIO GIUSEPPE MARIA   +4 more
openaire   +3 more sources

Unified ISAC Pareto Boundary Based on Mutual Information and Minimum Mean-Square Error Estimation

IEEE Transactions on Communications
The performance of multiple-input multiple-output (MIMO) integrated sensing and communication systems (ISAC) can be evaluated from the perspectives of information theory and estimation theory to provide more fundamental insights.
Shuaijun Wang, Li Chen, Jing Zhou, Yunfei Chen, Kaifeng Han, Changsheng You   +5 more
semanticscholar   +1 more source

Source imaging with minimum mean-squared error

The Journal of the Acoustical Society of America, 1993
Prior knowledge of source size, shape, and radiation process, and of receiver noise correlations are incorporated in a linear minimum mean-squared error (MMSE) imaging estimator. Its resolution operator and expected squared estimation error are derived and are computed for discrete linear source and receive arrays.
Roland Stoughton, Stewart Strait
openaire   +1 more source

Fixed-width CSD multipliers with minimum mean square error

Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010
Many multimedia and DSP applications require fixed-width multipliers, in which input data and output results have the same bit width. In this paper we investigate fixed-width multipliers where one of the input operand is a constant, encoded using canonic signed digit (CSD) representation.
PETRA, NICOLA, DE CARO, Davide, STROLLO, ANTONIO GIUSEPPE MARIA, GAROFALO, VALERIA, NAPOLI, ETTORE, COPPOLA, MARINO, P. Todisco   +6 more
openaire   +2 more sources

Minimum mean square error design of stack filters

Proceedings of the 39th Midwest Symposium on Circuits and Systems, 2002
This paper addresses the problem of designing optimal stack filters under the most commonly used error criterion in filter design, namely, the minimum mean square error (MSE) between the desired signal and the estimated signal. It is shown that the MSE can be expressed as a linear combination of the responses of positive Boolean filters to different ...
C.E. Savin, M.O. Ahmad, M.N.S. Swamy
openaire   +1 more source