The trigonometric moment problem stands at the source of many major streams in analysis.
Hidden Markov models (HMMs) for automatic speech recognition rely on high dimensional feature vectors to summarize the short-time properties of speech.
Linear and nonlinear exponential family and quasi-likelihood regression models form a class of models exhibiting a common structure that invites using one algorithmic framework to compute parameter
The mean-squared error performance and phase noise variance tolerance of a maximum likelihood carrier phase estimation based on Monte Carlo integration is evaluated and used as a baseline for compa
The mean-squared error performance and phase noise variance tolerance of a maximum likelihood carrier phase estimation algorithm based on Monte Carlo integration is evaluated and compared to two re
An analysis is made of maximum likelihood decoding (MLD) in a wireless space division multiplexing (SDM) link, where information is transmitted and received simultaneously over several transmit and
This memo presents a new recursive algorithm for maximum likelihood estimation of the delay-Doppler characteristics of fast-fading mobile communication channels.
Parameter estimation by means of the reestimation algorithm [6] for a class of multivariate mixture density functions of Markov chains is discussed.
This article reviews EM-type algorithms, including the Expectation- Maximization (EM), Expectation-Conditional-Maximization (ECM), Expectation-Conditional-Maximization-Either (ECME), and Parameter-
The problem of carrier synchronization frequency offset is considered.
