Design of Simplified Maximum-Likelihood Receivers for Multiuser CPM Systems by Li Bing, Baoming Bai

“…A class of simplified maximum-likelihood receivers designed for continuous phase modulation based multiuser systems is proposed. …”
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Targeted maximum likelihood based estimation for longitudinal mediation analysis by Wang Zeyi, Laan Lars van der, Petersen Maya, Gerds Thomas, Kvist Kajsa, Laan Mark van der

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Hybrid TOA/AOA Approximate Maximum Likelihood Mobile Localization by Mohamed Zhaounia, Mohamed Adnan Landolsi, Ridha Bouallegue

“…This letter deals with a hybrid time-of-arrival/angle-of-arrival (TOA/AOA) approximate maximum likelihood (AML) wireless location algorithm. Thanks to the use of both TOA/AOA measurements, the proposed technique can rely on two base stations (BS) only and achieves better performance compared to the original approximate maximum likelihood (AML) method. …”
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Improved Maximum Likelihood S-FSK Receiver for PLC Modem in AMR by Mohamed Chaker Bali, Chiheb Rebai

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Method for determining the lengths of protocol keywords based on maximum likelihood probability by Jian-zhen LUO, Shun-zheng YU, Jun CAI

“…A left-to-right inhomogeneous cascaded hidden Markov modelwas proposed and applied to model application protocol messages.The proposed modeldescribed the transition probabilities between states and the evolution rule of phases inside the states,revealed the transition feature ofmessage fields and the left-to-right Markov characteristicsinside the fields.The protocol keywords were inferred by selecting lengths with maximum likelihood probability,and then the message format was recovered.The experimental results demonstrated that the proposed method perform well in protocol keyword extraction and message format recovery.…”
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Data Fusion for Electromagnetic and Electrical Resistive Tomography Based on Maximum Likelihood by Sven Nordebo, Mats Gustafsson, Therese Sjöden, Francesco Soldovieri

“…This paper presents a maximum likelihood based approach to data fusion for electromagnetic (EM) and electrical resistive (ER) tomography. …”
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On parameter estimation for stochastic logistic growth laws through the maximum likelihood procedure by Petras Rupšys

“…Estimates of parameters of the stochastic growth models are performed by the maximum likelihood procedure with the local linearization method. …”
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Underdetermined blind source separation based on null-space representation and maximum likelihood by Rong-jie WANG, Yi-ju ZHAN, Hai-feng ZHOU

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A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive Updating by Yuhan Song, Han Shen-Tu, Junhao Lin, Yizhen Wei, Yunfei Guo

“…A labeled multi-Bernoulli tracking algorithm based on maximum likelihood recursive update is proposed, which can reduce the computational scale while maintaining tracking accuracy. …”
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Maximum Likelihood Inference for Univariate Delay Differential Equation Models with Multiple Delays by Ahmed A. Mahmoud, Sarat C. Dass, Mohana S. Muthuvalu, Vijanth S. Asirvadam

“…This article presents statistical inference methodology based on maximum likelihoods for delay differential equation models in the univariate setting. …”
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One-bit maximum likelihood algorithm for sensor networks in non-ideal channels by Nana WANG, Zhaoting LIU, Yingbiao YAO

“…Wireless sensor networks typically consist of wireless sensor nodes that are distributed in a certain spatial range.In general,the energy storage,computing and communication capabilities of nodes are extremely limited.Direct transmission of the sampled signals of the various nodes to the fusion center will result in more energy consumption and greater network communication load.If the sampled signal value of each sensor node is compressed into a one-bit measurement value and then transmitted,the energy consumption and the communication load can be greatly reduced.The parameter estimation problem based on one-bit measurement of sensor networks in multiplicative noise environment was studied.Considering the non-ideal binary channel with interference between the node and the fusion center,a parameter estimation algorithm based on maximum likelihood was proposed,Cramér-Rao lower bound of the parameter estimation was analyzed,and the effectiveness of the algorithm was verified through a series of simulation experiments.…”
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Space alternating generalized maximum-likelihood based low-complexity list detection algorithm by Chang-le JING, Xin WANG, Ji-bo WEI, Bin CHEN, Shi-qi WU

“…A space-alternating generalized maximum-likelihood (SAGL) list detection algorithm with lower-complexity for V-BLAST systems was proposed. …”
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Performance Analysis of Two-Dimensional Maximum Likelihood Direction-of-Arrival Estimation Algorithm Using the UCA by Yun-Seong Cho, Jeong-Min Seo, Joon-Ho Lee

“…We address the performance analysis of the maximum likelihood (ML) direction-of-arrival (DOA) estimation algorithm in the case of azimuth/elevation estimation of two incident signals using the uniform circular array (UCA). …”
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Research on distributed time synchronization methods for LEO communication constellations based on maximum likelihood estimation by YAN Bing, ZHAO Yafei, FANG Yiming, PENG Mugen, LIN Guangrong

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Risk Efficiencies of Empirical Bayes and Generalized Maximum Likelihood Estimates for Rayleigh Model under Censored Data by Dinesh Barot, Manhar Patel

“…The comparison of empirical Bayes and generalized maximum likelihood estimates of reliability performances is made in terms of risk efficiencies when the data are progressively Type II censored from Rayleigh distribution. …”
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Assessment of Flood Risk Based on ISO Clustering and Maximum Likelihood Method --Taking Wuchuan City as an Example by LIU Yang, SONG Feiyan, LIN Kairong, LIN Bo

“…Taking Wuchuan City as the researcharea, with towns and streets as units, this paper establishes the flood riskassessment model based on the assessment indexes from three aspects of factorrisk, vulnerability of hazard-bearing body, disaster prevention and mitigationability, conducts space overlay analysis through ArcGIS platform, divides theflood risk into micro, low, medium, high and extremely high with ISO clustering-maximum likelihood method, and classifies Wuchunan City into five risk areasaccording to the assessment results. …”
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Maximum Likelihood Angle-Range Estimation for Monostatic FDA-MIMO Radar with Extended Range Ambiguity Using Subarrays by Kaikai Yang, Sheng Hong, Qi Zhu, Yanheng Ye

“…The transmit subarrays are first utilized to expand the range ambiguity, and the maximum likelihood estimation (MLE) algorithm is first proposed to improve the estimation performance. …”
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An Automated Profile-Likelihood-Based Algorithm for Fast Computation of the Maximum Likelihood Estimate in a Statistical Model for Crash Data by Issa Cherif Geraldo

“…Numerical computation of maximum likelihood estimates (MLE) is one of the most common problems encountered in applied statistics. …”
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Maximum-likelihood Regression with Systematic Errors for Astronomy and the Physical Sciences. I. Methodology and Goodness-of-fit Statistic of Poisson Data by Massimiliano Bonamente, Yang Chen, Dale Zimmerman

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Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood. by Omid Chatrabgoun, Alireza Daneshkhah, Parisa Torkaman, Mark Johnston, Nader Sohrabi Safa, Ali Kashif Bashir

“…Finally, we show that the presented algorithm which is a combination of fitted GLM and applying the penalized maximum likelihood on the residual of the model is extremely fast, and can exploit sparsity in the constructed GRNs. …”
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