Special Issue on Research on Parameters Estimation
Parameter
estimation plays a vital role in machine learning, statistics, communication
system, radar, and many other domains. For example, in a digital communication
system, you sometimes need to estimate the parameters of the fading channel,
the variance of AWGN (additive white Gaussian noise) noise, IQ (in-phase,
quadrature) imbalance parameters, frequency offset, etc. The goal of this
special issue is to provide a platform for scientists and academicians all over
the world to promote, share, and discuss various new issues and developments in
the area of Research on Parameters Estimation.
In this special
issue, we intend to invite front-line researchers and authors to submit
original research and review articles on exploring Research on Parameters
Estimation. In this special issue,
potential topics include, but are not limited to:
-
Rank regression
(Least Squares)
-
Probability
plotting
-
Maximum
likelihood estimation
-
Bayesian
estimation methods
-
Estimation
theory
-
Numerical
models and parameter estimation
-
Applications
of parameter estimation
Authors should read
over the journal’s For Authors carefully before
submission. Prospective authors should submit an electronic copy of their
complete manuscript through the journal’s Paper Submission System.
Please kindly notice that the “Special Issue”
under your manuscript title is supposed to be specified and the research field
“Special Issue - Research on Parameters Estimation” should be chosen
during your submission.
According
to the following timetable:
Submission Deadline
|
July 29th, 2024
|
Publication Date
|
September 2024
|
Guest Editor:
For further
questions or inquiries
Please contact
Editorial Assistant at
ojs@scirp.org