Suchergebnisse - ML and EM algorithms

EM-Based Joint Channel Estimation and IQ Imbalances for OFDM Systems von Marey, M., Samir, M., Dobre, O. A.

“… occurring at both the transmitter and receiver. Starting from the Maximum Likelihood (ML) principle, we derive an estimation algorithm based on the expectation maximization (EM …”
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A tailored ML-EM algorithm for reconstruction of truncated projection data using few view angles von Mao, Yanfei, Zeng, Gengsheng L

“… ) algorithm to reconstruct images from the truncated data with a small number of views. In this note, we propose a tailored ML-EM algorithm to suppress the artifacts …”
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Superiorization of the ML-EM Algorithm von Garduno, Edgar, Herman, Gabor T.

“… The expectation maximization (EM) methodology leads to an iterative algorithm, called ML-EM, that converges in the limit to an image that maximizes this likelihood …”
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ML-EM algorithm for dose estimation using PET in proton therapy von Masuda, Takamitsu, Nishio, Teiji, Kataoka, Jun, Arimoto, Makoto, Sano, Akira, Karasawa, Kumiko

“… ) expectation maximization (EM) algorithm combined with filtering. In experiments to verify the effectiveness of the proposed method, mono-energetic and spread-out Bragg …”
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Extension of the ML-EM algorithm for dose estimation using PET in proton therapy: application to an inhomogeneous target von Masuda, Takamitsu, Nishio, Teiji, Sano, Akira, Karasawa, Kumiko

“… In this study, a method for estimating the dose distribution from the positron emitter distributions was developed using the maximum likelihood expectation maximization algorithm …”
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A novel IQ imbalance and channel estimation algorithm for Alamouti OFDM systems von Marey, Mohamed, Samir, Moataz Shoukry, Ahmed, Mohamed Hossam, El-Shenawy, Hamed, Elhennawy, Adel

“… In addition, we propose a novel iterative algorithm to jointly estimate the channel impulse response (CIR …”
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Statistical Model and ML-EM Algorithm for Emission Tomography with Known Movement von Pouchol, Camille, Verdier, Olivier

“… )-type algorithm which recovers the classical ML-EM algorithm as a particular case for a static phantom. The algorithm is proved to be monotone and convergent in the low-noise regime. Simulations confirm that it correctly removes the blur that would have occurred if movement were neglected …”
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CT image reconstruction: integrating iterative methods with Ml-EM algorithm and deep learning models von Pham, Cong Thang, Tran, Thi Thu Thao, Huynh, Duc Anh Bao, Nguyen, Quoc Cuong, Nguyen, Tien Hung

“… (Convolutional Neural Networks and UNet) with the Maximum Likelihood Expectation Maximization (ML-EM) algorithm and the Enhanced Super-Resolution Generative Adversarial Networks …”
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A simple convergence proof of the ML-EM algorithm in the presence of background emission von Bertero, Mario, De Mol, Christine

“… For data obeying a Poisson statistics, the ML-EM (“Maximum Likelihood - Expectation Maximization …”
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The ML-EM Algorithm is Not Optimal for Poisson Noise von Zeng, Gengsheng L.

“… The ML-EM (maximum likelihood expectation maximization) algorithm is the most popular image reconstruction method when the measurement noise is Poisson distributed …”
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Comparison of ML–EM algorithm and ART for reconstruction of gas hold-up profile in a bubble column von Patel, Ashutosh K., Patwardhan, Ashwin W., Thorat, Bhaskar N.

“… Algebraic reconstruction technique (ART) and maximum likelihood–expectation maximization (ML–EM …”
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The ML-EM algorithm is not optimal for poisson noise von Zeng, Gengsheng L.

“… The ML-EM (maximum likelihood expectation maximization) algorithm is the most popular image reconstruction method when the measurement noise is Poisson distributed …”
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Event reconstruction in NEXT using the ML-EM algorithm von Simón, A., Ferrario, P., Izmaylov, A.

“… ) in the data processing scheme. ML-EM is a generic iterative algorithm for many kinds of inverse problems …”
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Convergence analysis of an accelerated expectation-maximization algorithm for ill-posed integral equations von Geng, Chuanxing, Wang, Jinping

“… The maximum‐likelihood expectation‐maximization (EM) algorithm has attracted considerable interest in single …”
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Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution von Hasannasab, Marzieh, Hertrich, Johannes, Laus, Friederike, Steidl, Gabriele

“… In this paper, we consider maximum likelihood estimations of the degree of freedom parameter ν , the location parameter μ and the scatter matrix Σ of the …”
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Filtered backprojection algorithm can outperform iterative maximum likelihood expectation-maximization algorithm von Zeng, Gengsheng L.

“… The iterative maximum‐likelihood expectation‐maximization (ML‐EM) algorithm is an excellent algorithm for image reconstruction and usually provides better images than the filtered backprojection (FBP) algorithm …”
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Interior and Sparse-View Image Reconstruction Using a Mixed Region and Voxel-Based ML-EM Algorithm von Jingyan Xu, Tsui, B. M. W.

“… The image reconstruction is provided by a mixed region and voxel based Poisson likelihood ML-EM algorithm that takes care of the photon statistics and the uniform attenuation effect in emission tomography …”
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Application of the ML-EM algorithm in the suppression of Compton background of gamma-ray spectroscopy system von Hoang, Sy Minh Tuan, Sun, Gwang Min, Baek, Hani, Kim, Jiseok

“… In the present study, the Compton background of the measured gamma-ray spectrum was suppressed by using the deconvolution method with applying the maximum likelihood fitting by expectation maximization (ML-EM) algorithm …”
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Correction to: Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution von Hasannasab, Marzieh, Hertrich, Johannes, Laus, Friederike, Steidl, Gabriele

“… A Correction to this paper has been published: https://doi.org/10.1007/s11075-021-01156-z …”
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Convergence study of an accelerated ML-EM algorithm using bigger step size von Hwang, DoSik, Zeng, Gengsheng L

“… In SPECT/PET, the maximum-likelihood expectation-maximization (ML-EM) algorithm is getting more attention as the speed of computers increases …”
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