Iterative joint source channel decoding for WMSN by YANG Yang, CHEN Yong-rui, ZHAO Jun-lin, YI Wei-dong

“…An iterative joint source channel decoding （ISCD） scheme for WMSN is proposed, based on a soft-input-soft-output （SISO） a posteriori probability decoding algorithm for variable-length coded sources, which leads to not only maximum likelihood （ML） sequence estimation but also the computation of bit-based reliability values which are necessary for ISCD. …”
Get full text

Best Prediction Method for Progressive Type-II Censored Samples under New Pareto Model with Applications by Hanan Haj Ahmad

“…Furthermore, point and interval estimation of the unknown parameters of the new Pareto model is obtained. Maximum likelihood and Bayesian estimation methods are considered for that purpose. …”
Get full text

Occluded building height estimation from single HR SAR image based on an iterative model matching technique by Li-bing JIANG, Zhuang WANG, Lin LEI, Wen-xian YU

“…The estimated building height corresponded to the parametric model which reached a maximum likelihood value. Comparative experimental results show that the proposed method is more effective in estimating building height even under partial occlusion.…”
Get full text

Retour d’expérience sur le développement participatif d’un jeu sérieux à destination des professionnels de l’acte de construire et d’aménager by Fanny Coulombié, Véronique Dufour

“…Eventually, these first games led us to change in a significant way the balance between maximum likelihood and pedagogy.…”
Get full text

Sliding Recurrence Analysis and its Application of Gear Vibration Signal by Xiao Han, Lv Yong

“…According to the recurrence plot analysis to the gear vibration signal,it is found that there are obvious difference between the gear condition and the driver system characteristics represented by recurrence plots.If the recurrence plots are regarded as a binary image,the parameters calculation by recurrence qualification analysis,such as recurrence rate,determinism,laminarity and recurrence time etc can be used to describe the feature of the image.The characteristics of recurrence plots that correspond to dynamical system and image respectively are analyzed.In order to depict the local feature of recurrence plot,the sliding recurrence analysis is proposed.The proposed approach combined with Gaussian mixture model and Bayesian maximum likelihood classifier are used to classify the gear vibration signals which are acquired from gear fault experiment facility.The classification results show that the higher discrimination rate can be achieved by the proposed method.…”
Get full text

Iterative interference cancellation based on decoding algorithm of space-time block coding in frequency-selective fading by DONG Tao, YOU Xiao-hu

“…Considering that the orthogonality of STBC in frequency-selective fading will be destroyed by the multiple path interference（MPI）,an iterative interference cancellation based maximum likelihood sequence estimation（MLSE） decoding scheme was proposed for STBC in frequency-selective fading.Meanwhile,the maximum ratio combining（MRC） method was introduced to improve the proposed scheme,and decrease the computational complexity further.These schemes could effectively make up for the decoding deficiency of conventional STBC in frequency-selective fad-ing.They canceled not only the MPI from even terms corresponding to the orthogonality undestroyed by fading,but also the MPI from odd terms corresponding to the orthogonality destroyed by fading;they has superior performance.More-over,they have lower decoding complexity when compared with direct MLSE decoding of the long sequence signal.Thus they implement good decoding performance with low complexity.…”
Get full text

Classical and Bayesian Inference Using Type-II Unified Progressive Hybrid Censored Samples for Pareto Model by M. Nagy, Adel Fahad Alrasheedi

“…We used this censored sample to compute the maximum likelihood estimates of unknown parameters from the Pareto distribution, as well as Bayesian estimates for unknown parameters under three different error loss functions. …”
Get full text

Relationship Between Performance of the FUNDEB Municipal Board and Active and Passive Waste by Nálbia de Araujo Santos, Luana Aparecida Pereira, Daniele Silva Rodrigues

“…The methodological strategies used were the content analysis and the regression for count-data, based on the negative binomial model by maximum likelihood. The results indicated a positive and significant relationship between the lack of action of the FUNDEB Monitoring and Social Control Council and the waste of public resources allocated to basic education related to poor management. …”
Get full text

Bayesian and non-bayesian estimation of Marshall-Olkin XLindley distribution in presence of censoring, cure fraction, and application on medical data by Hleil Alrweili, Eid Sadun Alotaibi

“…We estimate the parameters of the distribution using both maximum likelihood and Bayesian approaches. We employ three medical datasets to show the MOXL distribution's adaptability. …”
Get full text

Optimal receiver and blind demodulation performance bounds for single channel co-frequency mixed signals by YU Hongyi, ZHA Renpeng, SHEN Zhixiang, SHEN Caiyao, HU Yunpeng

“…Aiming at the problem of optimal detection of mixed signal symbol sequences, on the basis of co-frequency mixed receiving baseband signal model, sufficient statistics for joint maximum likelihood blind detection were derived, and the optimal receiver design of “mixed waveform matched filtering and symbol rate dual sampling” was given. …”
Get full text

The Generalization Inverse Weibull Distribution Related to X-Gamma Generator Family: Simulation and Application for Breast Cancer by R. Alshenawy

“…Moreover, four estimation methods, namely, the maximum likelihood, maximum product spacing, least squares, and weighted least squares methods, are utilized to estimate the XGAIW parameters. …”
Get full text

25 Gbit/s transmission performance using duo-binary detection with 10 Gbit/s-PON receiver by Yongjia YIN, Yong GUO, Zhuang MA

“…IEEE has formed the 100 Gbit/s-EPON Task Force to develop next 100 Gbit/s-PON standards，and the duo-binary(DB) detection is one of the baseband technology options.25 Gbit/s DB detection transmission performance with 10 Gbit/s-PON receiver was been experimentally demonstrated.Because the bandwidth of 10 Gbit/s- PON receiver is obviously limited,the 25 Gbit/s DB output signal from 10 Gbit/s-PON receiver will be affected by the inter-symbol interference(ISI).The experiment results show that the system receiving sensitivity based on direct decision method is only -22 dBm.However,the system receiving sensitivity can be up to -24.5 dBm by using the most simplified maximum likelihood sequence estimation(MLSE) soft decision method.…”
Get full text

Automatic Quantification of Immunohistochemically Stained Cell Nuclei Using Unsupervised Image Analysis by Petter Ranefall, Kenneth Wester, Ewert Bengtsson

“…An independent test set consisting of images grabbed with different focus and illumination for each field of view was used to test the method, and the proposed method showed less variation than the intraoperator variation using supervised Maximum Likelihood classification.…”
Get full text

Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems by Chao Zhang, Huarui Yin

“…Considering the high computational complexity of optimal Maximum Likelihood (ML) decoder, we also propose two low-complexity decoders, Max-Log decoder and Max-Log-Sphere decoder. …”
Get full text

The Exponentiated Half-Logistic Family of Distributions: Properties and Applications by Gauss M. Cordeiro, Morad Alizadeh, Edwin M. M. Ortega

“…We discuss the estimation of the model parameters by maximum likelihood and demonstrate the potentiality of the new family by means of two real data sets.…”
Get full text

Low-complexity despreading scheme with repetition code for wireless body area networks by Yu CHI, Lan CHEN, Chao LV

“…To improve the reliability of data transmission and reduce the complexity of the narrow band receiver for wireless body area networks(WBAN),spreading with repetition code is used in IEEE 802.15.6 standard.A despreading structure in which the metrics of reliability were calculated selectively according to the dynamic threshold was designed.Combined with hard decision,hard threshold-combine and hard threshold-delete despreading methods by simplifying maximal ratio combining and generalized minimum distance principle respectively were proposed,which had low complexity and near-optimal performance.The theoretical analysis and simulation results show that compared to despreading based on maximum likelihood method,the spreading gain of the proposed methods is close to the theoretical value and the computational complexity can be reduced by 86% at most under high SNR circumstances.…”
Get full text

Decision-aided-based multiple blind PN code estimation algorithm of asynchronous CDMA signal by Zhaoyang QIU, Tianyun LI, Xiangming CHEN

“…Aiming at the problem of blind estimation of multi-user pseudo-code of multi-path asynchronous code division multiple access (CDMA) signal,using the finite element (FA) characteristic of transmitted symbol,a decision aid (DA) method based on maximum likelihood was proposed.A two-step iterative estimation structure for PN code,transmitted bit and channel was designed to realize the estimation of multiple user code in asynchronous CDMA system with superior performance.Moreover,the Cramer-Rao bound (CRB) of PN code estimation in asynchronous CDMA signal was derived to evaluate the performance of proposed method.Simulation indicates significant improvement in performance which is close to the theory bound of the proposed method compared to commonly-used iterative least square with projection (ILSP) method.The method can also achieve superior estimation when the user number increases.…”
Get full text

A Fast and Efficient Estimation of the Parameters of a Model of Accident Frequencies via an MM Algorithm by Issa Cherif Geraldo, Edoh Katchekpele, Tchilabalo Abozou Kpanzou

“…We design a minorization-maximization (MM) algorithm and an accelerated MM algorithm to compute the maximum likelihood estimates of the parameters. We illustrate, through simulations, the performance of our proposed MM algorithm and its accelerated version by comparing them to Newton-Raphson (NR) and quasi-Newton algorithms. …”
Get full text

Negative Binomial Regression Model Estimation Using Stein Approach: Methods, Simulation, and Applications by Bushra Ashraf, Muhammad Amin, Walid Emam, Yusra Tashkandy, Muhammad Faisal

“…Generally, the maximum likelihood estimator (MLE) is used to estimate the NBRM coefficients. …”
Get full text

Two-step ranging based on energy detection for IR-UWB sensor networks by ZHANG Ting-ting1, ZHANG Qin-yu2, ZHANG Nai-tong1

“…During the second step, the refined position of DP within the detected block was obtained by ML （maximum likelihood） estimation. A mathematical error model was set up for the two-step method which was veri-fied by the simulation results, and system parameters that affected the performance were studied by analytical and numerical methods. …”
Get full text