… signal detection, this paper presents a model-driven deep learning method for joint channel
estimation and signal detection … , then derive a generalized expectation maximization (GEM) …

… is used for a Constant False Alarm Rate (CFAR) threshold calculation for signal detection. …
In this paper, we used the Expectation Maximization algorithm to automatically extract useful …

… The Expectation Maximization (EM) algorithm has been widely used for parameter estimation
in data-driven process identification. EM is an algorithm for maximum likelihood estimation …

… We focus on high noise regimes, where accurate detection of image occurrences within a
measurement is impossible. To estimate the image, we develop an expectation-maximization …

… Abstract—This paper presents a novel random parameterbased formulation of the expectation
maximization (EM) framework towards joint symbol detection and channel estimation over …

… In this paper, a radius-based expectation maximization (REM) algorithm is proposed for
SDI with phase rotated signals in a flexible PS-MQAM transceiver. To eliminate the impact of …

… GMM) based ExpectationMaximization (EM) signal processing algorithm in HPO MIMO
system. We first transforme channel estimation and multiuser detection problems into generalized …

… ence of missing-(complex) data is addressed in this paper with emphasis on radar signal …
is developed resorting to the expectation-maximization algorithm. The corresponding conver…

… structure of tensor factorization model and expectation–maximization (EM) to provide a new
… signal-to-interference radio (SIR) and signal-to-artifact radio (SAR) as evaluation criteria. …

… In order to jointly estimate the channel and data symbols, we employ the expectation
maximization (EM) algorithm where the channel estimation and data decoding are performed …