Results 241 to 250 of about 16,849 (282)

Approximate ML detection for MIMO systems using multistage sphere decoding

IEEE Signal Processing Letters, 2005
We derive a new multistage sphere decoding (MSD) algorithm, a generalization of the conventional sphere decoder (SD). This new MSD exploits that many higher-order signal constellations can naturally be decomposed into several lower-order constellations.
null Tao Cui, C. Tellambura
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Approximate ML Serial Detector Based on Tomlinson-Harashima Pre-Equalization

VTC Spring 2008 - IEEE Vehicular Technology Conference, 2008
In this paper, we propose a novel and simple approximate maximum likelihood detector (A-ML-D) for single input and single output (SISO) systems over frequency-selective fading channels based on Tomlinson-Harashima pre-equalizer. By assuming full channel state information (CSI) at the transmitter side, the pre-equalizer can remove some inter-symbol ...
Lingyang Song, Rodrigo C. de Lamare, Are Hjorungnes, Manav R. Bhatnagar, Alister G. Burr   +4 more
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A Novel Approximation of NDA ML Estimation for UWB Channels

IEEE Transactions on Communications, 2010
Novel non-data-aided near-maximum-likelihood estimators for the delays and the attenuations in an ultra-wide bandwidth channel are proposed by using an approximation to the maximum likelihood equation. Numerical results show that these new estimators outperform previous approximate non-data-aided maximum likelihood channel estimators reported in the ...
Yunfei Chen, Norman C. Beaulieu
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Approximate ML detection for MIMO systems with very low complexity

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
Recently many space-time coding schemes for multiple antenna systems (MIMO) have been proposed in order to achieve high data rates when transmitting over wireless channels. However, most of such schemes rely on maximum likelihood (ML) detection, which can become quite complex when many antennas are involved and higher modulation schemes are utilized ...
M. Rupp, G. Gritsh, H. Weinrichter
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Approximate ML Doppler Spread Estimation Over Flat Rayleigh Fading Channels

IEEE Signal Processing Letters, 2009
The maximum likelihood (ML) Doppler spread estimator provides an accurate estimation performance; however, it results in a much higher computation cost. In this work, we propose a time-domain approximate-ML estimator that significantly reduces the computational complexity of the ML estimator over a flat Rayleigh fading channel.
null Yuh-Ren Tsai, null Kai-Jie Yang
openaire   +1 more source

Local integral equations implemented by MLS-approximation and analytical integrations

Engineering Analysis with Boundary Elements, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sladek, V., Sladek, J.
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Fluconazole-Induced Convulsions at Serum Trough Concentrations of Approximately 80 ??g/mL

Therapeutic Drug Monitoring, 2000
On the basis of two case reports it is suggested that serious convulsions may occur in patients treated with flucoazole when serum trough concentrations exceed 80 microg/mL. The authors recommend monitoring fluconazole concentrations during high-dose therapy in patients with poor kidney function.
K, Matsumoto, K, Ueno, H, Yoshimura, M, Morii, M, Takada, T, Sawai, K, Mitsutake, M, Shibakawa   +7 more
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Approximate ML direction finding in spatially correlated noise using oblique projections

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
We consider the problem of maximum likelihood estimation of directions of arrival of multiple source signals in the presence of unknown spatially correlated Gaussian noise. Oblique projections are used to separate the structured noise from the signal and an approximate maximum likelihood solution is derived. The estimates are obtained by maximizing the
M. Djeddou, A. Belouchrani, S. Aouada
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ML-based Load Value Approximator for Efficient Multimedia Processing

ACM Transactions on Multimedia Computing, Communications, and Applications
Approximate computing (AC) has gained traction as an alternative computing method for energy-efficient processing. This article proposes the exploitation of AC to address the memory wall. The proposed model predicts the memory load value using machine learning (ML).
Alain Aoun, Mahmoud Masadeh, Sofiène Tahar   +2 more
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Approximate ML Detection for MIMO-OFDM Systems Using Multistage Chase Detection Algorithm

2010 International Conference on Computational Intelligence and Software Engineering, 2010
In recent publications, some special detectors were proposed to improve the performance and complexity gaps between the optimal detector and the suboptimal detector. In this paper, we propose a multistage chase detection algorithm for MIMO-OFDM systems, which use chase detection framework to design sub-detector, so the nest chase detection was ...
Tiejun Yang, Hongliang Fu
openaire   +1 more source