Results 251 to 260 of about 584,670 (289)
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Efficient approximate ML decoding units for polar list decoders
2015 IEEE Workshop on Signal Processing Systems (SiPS), 2015Polar codes are of great interest since they are the first provably capacity-achieving forward error correction codes. To improve throughput of polar decoders, maximum likelihood (ML) decoding units are used by successive cancellation list (SCL) decoders as well as successive cancellation (SC) decoders.
Chenrong Xiong +2 more
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An Approximate ML Estimator for Moving Target Localization in Distributed MIMO Radars
IEEE Signal Processing Letters, 2020This letter deals with the problem of moving target localization in distributed multiple-input multiple-output (MIMO) radar systems using time delay (TD) and Doppler shift (DS) measurements. The proposed solution to this problem consists of two stages.
Seyed Amir Reza Kazemi +2 more
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Approximate ML-estimates of random processes
Proceedings of 1994 IEEE International Symposium on Information Theory, 2002Computationally feasible versions of maximum likelihood estimations (MLEs), called approximate MLEs (AMLEs), are introduced. Estimation models with all, some, or no AMLEs consistent are presented. >
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Approximate ML Detection Based on MMSE for MIMO Systems
PIERS Online, 2007We derive two types of approximate maximum likelihood (ML) detection based on minimum mean squared error (MMSE), MMSE-CML (conditional ML) detection and MMSE- CLML (conditional local ML) detection, for MIMO communication system. A simple reliability judge rule to judge the estimate of the transmit symbols is also given.
Fan Wang, Yong Xiong, Xuemei Yang
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MLS based local approximation in numerical manifold method
Engineering Computations, 2018Purpose The purpose of this paper is to propose a new three-node triangular element in the framework of the numerical manifold method (NMM), which is designated by Trig3-MLScns. Design/methodology/approach The formulation uses the improved parametric shape functions of classical triangular elements (Trig3-0) to construct the partition of unity (PU ...
Yuanqiang Chen +3 more
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Approximate ML detection for MIMO systems using multistage sphere decoding
IEEE Signal Processing Letters, 2005We 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.
Tao Cui, Chintha Tellambura
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Approximate ML decoding of coded PSK with no explicit carrier phase reference
IEEE Transactions on Communications, 1994An approximate method is discussed for maximum likelihood estimation of coded PSK sequences in the presence of an unknown carrier phase. This method makes use of the Viterbi algorithm to find an optimum path in the encoder trellis diagram. Phase estimation is embedded into the structure of the detection algorithm and the branch metrics in the trellis ...
A. N. D'ANDREA +2 more
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Approximate ML Serial Detector Based on Tomlinson-Harashima Pre-Equalization
VTC Spring 2008 - IEEE Vehicular Technology Conference, 2008In 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 +4 more
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ML-based Load Value Approximator for Efficient Multimedia Processing
ACM Transactions on Multimedia Computing, Communications, and ApplicationsApproximate 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 +2 more
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Gaussian approximation of the LLR distribution for the ML and partial marginalization MIMO detectors
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011We derive a Gaussian approximation of the LLR distribution conditioned on the transmitted signal and the channel matrix for the soft-output via partial marginalization MIMO detector. This detector performs exact ML as a special case. Our main results consist of discussing the operational meaning of this approximation and a proof that, in the limit of ...
Mirsad Cirkic +3 more
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