More efficient methods among commonly used robust estimation methods for GPS coordinate transformation
Y Ge, Y Yuan, N Jia - Survey Review, 2013 - Taylor & Francis
Generally, coordinates obtained by global positioning systems (GPS) can be applied when
they are transformed into local or national coordinates. The four-and seven-parameter …
they are transformed into local or national coordinates. The four-and seven-parameter …
[HTML][HTML] An enhanced genetic algorithm for parameter estimation of sinusoidal signals
Estimating the parameters of sinusoidal signals is a fundamental problem in signal
processing and in time-series analysis. Although various genetic algorithms and their …
processing and in time-series analysis. Although various genetic algorithms and their …
Segmentation of composite signal into harmonic Fourier expansion using genetic algorithm
JL Pachuau, P Kashyap, A Kumar, R Paul, P Id… - International Journal of …, 2022 - Springer
A composite signal is generally composed of multiple signals with various frequencies and
amplitudes. Fourier series expansion is one of the examples of such decomposition in sine …
amplitudes. Fourier series expansion is one of the examples of such decomposition in sine …
An adaptive and computationally efficient algorithm for parameters estimation of superimposed exponential signals with observations missing randomly
J Bian, J Xing, J Liu, Z Li, H Li - Digital Signal Processing, 2016 - Elsevier
In this paper, we consider the parameters estimation of a model of superimposed
exponential signals in multiplicative and additive noise when some observations are …
exponential signals in multiplicative and additive noise when some observations are …
[PDF][PDF] Reboost image segmentation using genetic algorithm
A Jaiswal, L Kurda, V Singh - International Journal of Computer …, 2013 - researchgate.net
This paper present a Improved Algorithm for Image Segmentation System for a RGB colour
image, and presents a proposed efficient colour image segmentation algorithm based on …
image, and presents a proposed efficient colour image segmentation algorithm based on …
Approximate least squares estimators of a two-dimensional chirp model
In this paper, we propose a method based on maximizing a periodogram-type function for
parameter estimation of a two-dimensional (2-D) mono-component chirp signal model. The …
parameter estimation of a two-dimensional (2-D) mono-component chirp signal model. The …
Asymptotic properties of -estimators in linear and nonlinear multivariate regression models
CS Withers, S Nadarajah - Metrika, 2014 - Springer
We consider the (possibly nonlinear) regression model in R^ q R q with shift parameter α α
in R^ q R q and other parameters β β in R^ p R p. Residuals are assumed to be from an …
in R^ q R q and other parameters β β in R^ p R p. Residuals are assumed to be from an …
Generalised signed-rank estimation for nonlinear models with multidimensional indices
We consider a nonlinear regression model when the index variable is multidimensional.
Such models are useful in signal processing, texture modelling, and spatio-temporal data …
Such models are useful in signal processing, texture modelling, and spatio-temporal data …
A resisting gross errors capability study of robust estimation of unary linear regression method
C Jia, Y Ge - Communications in Statistics-Simulation and …, 2017 - Taylor & Francis
Robust estimation methods are often used to eliminate or weaken the influences of gross
errors on parameter estimation. However, different robust estimation methods may have …
errors on parameter estimation. However, different robust estimation methods may have …