… multi-user detection based on the expectation-maximization algorithm will be called BMU-EM.
However, it will be shown that the computational complexity of the BMU-EM detector will …

… study the expectationmaximization (EM) approach for one-bit MIMO-OFDM detection. The …
There they apply expectation maximization (EM)—in which the M-step is allows us to use the …

… To address those problems, we propose a joint detection and tracking scheme based on
expectation maximization (EM) algorithm. By alternately computing the complete likelihood …

… , enhanced version of the stochastic expectation maximization (SEM) algorithm is employed,
… The SEM algorithm is based on the expectation maximization (EM) algorithm as discussed …

… The physical analysis of huge volume of EEG signal by a human … work Expectation
Maximization Extreme Learning Machine (EM-ELM) based technique is adapted for perfect detection …

… In this paper, we present a new algorithm for target detection using … expectation maximization
(SEM) algorithm. The traditional technique of using SEM algorithm for target detection in …

This paper considers offered load estimation in probabilistic dynamic frame slotted ALOHA
systems where the receiver can perceive multiple concurrent packets in a slot. This type of …

… 2B is placed in an N a -dimensional vector R where N a is the length of each signal (1000
in this research). The pseudospectrum was estimated using the following five steps: …

… In this paper, an improved speech enhancement algorithm based on a novel expectation-maximization
(EM) framework is proposed. The new algorithm starts with the traditional TCS …

… system as an initialization to the Expectation Maximization algorithm, we propose the
Algebraically-Initialized Expectation Maximization algorithm. Computational experiments with …