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检索条件"主题词=expectation-maximization algorithm"
625 条 记 录,以下是511-520 订阅
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algorithms for iterative phase noise estimation based on a truncated DCT expansion
Algorithms for iterative phase noise estimation based on a t...
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12th IEEE International Workshop on Signal Processing Advances in Wireless Communications
作者: Bhatti, Jabran Noels, Nele Moeneclaey, Marc Univ Ghent Dept Telecommun & Informat Proc Ghent Belgium
We present two phase noise estimation algorithms for single-carrier burst communications. The first and second estimation techniques (denoted as PEA1 and PEA2 respectively) are based on a truncated discrete cosine tra... 详细信息
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A simple channel estimator for OFDM with transmit diversity in rapid fading channels
A simple channel estimator for OFDM with transmit diversity ...
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14th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
作者: Shan, SW Luo, HW Song, WT Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200030 Peoples R China
This paper presents a simple channel estimator for orthogonal frequency division multiplexing (OFDM) systems with transmit diversity in rapid fading channels. The channels at the training bauds are estimated using the... 详细信息
来源: 评论
Graph Representation Learning with Adaptive Mixtures  21
Graph Representation Learning with Adaptive Mixtures
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21st IEEE International Conference on Data Mining (IEEE ICDM)
作者: Tam, Da Sun Handason Xie, Siyue Lau, Wing Cheong Chinese Univ Hong Kong Dept Informat Engn Hong Kong Peoples R China
Graph Neural Networks (GNNs) are the current state-of-the-art models in learning node representations for many predictive tasks on graphs. Typically, GNNs reuses the same set of model parameters across all nodes in th... 详细信息
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VARIATIONAL BAYESIAN EM algorithm FOR MODELING MIXTURES OF NON-STATIONARY SIGNALS IN THE TIME-FREQUENCY DOMAIN (HR-NMF)
VARIATIONAL BAYESIAN EM ALGORITHM FOR MODELING MIXTURES OF N...
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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Badeau, Roland Dremeau, Angelique CNRS LTCI Telecom ParisTech Inst Mines Telecom Paris France
We recently introduced the high-resolution nonnegative matrix factorization (HR-NMF) model for analyzing mixtures of non-stationary signals in the time-frequency domain, and highlighted its capability to both reach hi... 详细信息
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A Compensated EM-based Channel Estimation for Orthogonal Wavelet Packet Modulation System
A Compensated EM-based Channel Estimation for Orthogonal Wav...
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4th International Conference on Wireless Communications, Networking and Mobile Computing
作者: Yang, Min Liu, Zheng Dai, Jufeng Wang, Qiuhong Tianjin Univ Sch Elect Informat Engn Tianjin 300072 Peoples R China
This paper proposes a novel iterative channel estimator for orthogonal wavelet packet modulation (OWPM) systems over frequency-selective fading channels. The channel estimation algorithm herein designed Introduces lin... 详细信息
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Identification of ARX Model with Multi-Gaussian Noises  19
Identification of ARX Model with Multi-Gaussian Noises
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19th International Conference on Control, Automation and Systems (ICCAS)
作者: Bai, Wentao Guo, Fan Chen, Lei Hao, Kuangrong Huang, Biao Donghua Univ Coll Informat Sci & Technol Shanghai 201620 Peoples R China Minist Educ Engn Res Ctr Digitized Text & Fash Technol Shanghai 201620 Peoples R China Univ Alberta Dept Chem & Mat Engn Edmonton AB T6G 2V4 Canada
In most industrial environments, the real process data points are usually subject to contamination from a variety of noises. Most of the traditional methods assume that the process noise is Gaussian white noise, which... 详细信息
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Multi-Target Delay and Doppler Estimation in Bistatic Passive Radar Systems
Multi-Target Delay and Doppler Estimation in Bistatic Passiv...
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IEEE Radar Conference (RadarConf)
作者: Rashid, Mohammed Naraghi-Pour, Mort Louisiana State Univ Sch Elect Engn & Comp Sci Baton Rouge LA 70803 USA
We propose a computationally efficient algorithm for localizing multiple targets on a delay-Doppler plane in a bistatic passive radar system. Our algorithm aims to jointly compute the maximum likelihood (ML) estimate ... 详细信息
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UNSUPERVISED SEGMENTATION OF FOCUSED REGIONS IN IMAGES WITH LOW DEPTH OF FIELD
UNSUPERVISED SEGMENTATION OF FOCUSED REGIONS IN IMAGES WITH ...
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IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
作者: Rafiee, G. Dlay, S. S. Woo, W. L. Newcastle Univ Dept Elect & Elect Engn Newcastle Upon Tyne NE1 7RU Tyne & Wear England
Unsupervised extraction of focused regions from images with low depth-of-field (DOF) is a problem without an efficient solution yet. In this paper, we propose an efficient unsupervised segmentation solution for this p... 详细信息
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PHOTON-LIMITED IMAGE DENOISING BY INFERENCE ON MULTISCALE MODELS
PHOTON-LIMITED IMAGE DENOISING BY INFERENCE ON MULTISCALE MO...
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15th IEEE International Conference on Image Processing (ICIP 2008)
作者: Lefkimmiatis, Stamatios Papandreou, George Maragos, Petros Natl Tech Univ Athens Sch ECE GR-15773 Athens Greece
We present an improved statistical model of Poisson processes, with applications to photon-limited imaging. We build on previous work, adopting a multiscale representation of the Poisson process in which the ratios of... 详细信息
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Predicting the Loss Given Default Distribution with the Zero-Inflated Censored Beta-Mixture Regression that Allows Probability Masses and Bimodality
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JOURNAL OF FINANCIAL SERVICES RESEARCH 2021年 第3期59卷 143-172页
作者: Hwang, Ruey-Ching Chu, Chih-Kang Yu, Kaizhi Natl Dong Hwa Univ Dept Finance Hualien Taiwan Natl Dong Hwa Univ Dept Appl Math Hualien Taiwan Southwestern Univ Finance & Econ Sch Stat Chengdu Peoples R China
We propose a new procedure to predict the loss given default (LGD) distribution. Studies find empirical evidence that LGD values have a high concentration at the endpoint 0. Thus, we first use a logistic regression to... 详细信息
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