Results 21 to 30 of about 243,165 (311)
Mutual Information and Minimum Mean-Square Error in Gaussian Channels [PDF]
IEEE Transactions on Information Theory, 2005 This paper deals with arbitrarily distributed finite-power input signals observed through an additive Gaussian noise channel. It shows a new formula that connects the input-output mutual information and the minimum mean-square error (MMSE) achievable by optimal estimation of the input given the output. That is, the derivative of the mutual information (
Dongning Guo +2 more
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Validating linear restrictions in linear regression models with general error structure [PDF]
, 2006 A new method for testing linear restrictions in linear regression models is suggested. It allows to validate the linear restriction, up to a specified approximation error and with a specified error probability.
Holzmann, Hajo +2 more
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Receiver multiuser diversity aided multi-stage minimum mean-square error detection for heavily loaded DS-CDMA and SDMA systems [PDF]
, 2010 By investigating the conditions required for successive interference cancellation multiuser detectors (SIC-MUD) to achieve near-optimum BER performance, we propose and investigate a so-called receiver multiuser diversity aided multi-stage minimum mean ...
Yang, Lie-Liang, Lie-Liang Yang
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EURASIP Journal on Wireless Communications and Networking, 2008 In wireless communications, multicarrier direct-sequence code-division multiple access (MC DS-CDMA) constitutes one of the highly flexible multiple access schemes.
Lie-Liang Yang, Li-Chun Wang
doaj +2 more sources
IEEE Access, 2021 Noise reduction is important for X-ray images because it can reduce radiation exposure to patients. X-ray image noise has a Poisson-Gaussian distribution, and recently, noise analysis and removal in multiscale transformations have been widely implemented.
Sangyoon Lee, Moon Gi Kang
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Minimum Mean Squared Error interference alignment [PDF]
2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009 To achieve the full multiplexing gain of MIMO interference networks at high SNRs, the interference from different transmitters must be aligned in lower-dimensional subspaces at the receivers. Recently a distributed “max-SINR” algorithm for precoder optimization has been proposed that achieves interference alignment for sufficiently high SNRs.
David A. Schmidt +4 more
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Adaptive minimum error-rate filtering design: a review
, 2008 Adaptive filtering has been an enabling technology and has found ever-increasing applications in various state-of-the-art communication systems. Traditionally, adaptive filtering has been developed based on the Wiener or minimum mean square error (MMSE ...
Sheng Chen +7 more
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Mean square cross error: performance analysis and applications in non-Gaussian signal processing
EURASIP Journal on Advances in Signal Processing, 2021 Most of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large.
Yunxiang Zhang +3 more
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Direct normal irradiance predictions using broadband models for Indian stations
Energy Reports, 2020 In this paper three parametric models CPCR2, MLWT2 and REST have been used to compute direct normal irradiance (DNI) for five Indian stations, namely New Delhi, Pune, Jaipur, Kolkata and Mumbai.
Laxmi Narain Rohilla, Dinesh Kumar Singh
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A transceiver design based on uniform channel decomposition and MBER vector perturbation [PDF]
, 2010 Uniform channel decomposition (UCD), as an improvement of geometric mean decomposition (GMD), is capable of decomposing a multiple-input–multiple-output (MIMO) channel into multiple subchannels having an identical capacity.
Chen, Sheng +5 more
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