Search
Search Results
-
Maritime Targets Tracking in Heavy-tailed Clutter With Unknown and Time-varying Density
In order to solve the problem of maritime targets tracking in heavy-tailed sea clutter with unknown and time-varying clutter density, a multi-scan...
-
Time series forecasting: problem of heavy-tailed distributed noise
Time series forecasting has been the area of intensive research for years. Statistical, machine learning or mixed approaches have been proposed to...
-
A New Heavy-Tailed Robust Kalman Filter with Time-Varying Process Bias
A new heavy-tailed robust Kalman filter is presented to address the issue that the linear stochastic state-space model has heavy-tailed noise with...
-
Adaptive Measurement Covariance Poisson Multi-Bernoulli Mixture Filter for Multi-target Tracking Under Glint Noise
In this paper, we present a novel adaptive measurement covariance Poisson multi-Bernoulli mixture (PMBM) filter and develop its implementation to...
-
Sequential Fusion Estimation for Multisensor Systems with Heavy–Tailed Noises
In this chapter, we intend to derive the sequential fusion estimation algorithm for linear multisensor dynamic systems disturbed by heavy–tailed...
-
Robust Matched Field Processing Using an Empirical Characteristic Function Approach Under Impulsive Noise Environments
Matched Field Processing (MFP) is an inversion technique often employed in source localization applications. Conventional MFP approaches are...
-
Ratio Test for Tail Index Changes with Heavy-Tailed ARCH-Type Innovations from the Perspective of Big Data
This paper investigates a new ratio-type test to detect the tail index change characterized of the ARCH model in which the innovations are...
-
Time delay estimation method based on generalized logarithmic hyperbolic secant function in impulsive noise
In this paper, a generalized logarithmic hyperbolic secant (GLHS) function is introduced that can effectively suppress impulsive noise while guarding...
-
Distributed Fusion Estimation for Multisensor Systems with Heavy-Tailed Noises
In some real engineering applications, the outliers are produced inevitably by unreliable sensor or unknown disturbances, so the process and...
-
Multiplicative Lévy noise-induced transitions in gene expression
Gene expression is intrinsically noisy. Experimental studies have shown that random fluctuations are large bursts and heavy-tailed distributions....
-
Assessment of Road Traffic Noise Level in Industrial Area Using a Smartphone App
This preliminary study focuses on measuring the road traffic noise levels in Kulim, Kedah. There are 20 points selected around the area including...
-
Graph Normalized-LMP Algorithm for Signal Estimation Under Impulsive Noise
We introduce an adaptive graph normalized least mean pth power (GNLMP) algorithm that utilizes graph signal processing (GSP) techniques, including...
-
Robust Variational Bayesian Adaptive Cubature Kalman Filtering Algorithm for Simultaneous Localization and Map** with Heavy-Tailed Noise
Simultaneous localization and map** (SLAM) has been applied across a wide range of areas from robotics to automatic pilot. Most of the SLAM...
-
DOA Estimation of Noncircular Signals Under Impulsive Noise Using a Novel Empirical Characteristic Function-Based MUSIC
Noncircular (NC) signals constitute a significant class of signals that are frequently employed in communication systems. In the presence of...
-
Robust Equalizer Based on New Lower-Order Statistic Under Impulsive Noise Cases
Digital communication systems usually suffer from two factors: inter-symbol interference and impulsive noise. To improve the performance of...
-
Noise Profiling for ANNs: A Bio-inspired Approach
Artificial neural networks (ANNs) are potent computational models, which are capable of completing a range of perception-related tasks. However,...
-
Robust coherent and incoherent statistics for detection of hidden periodicity in models with non-Gaussian additive noise
We address the issue of detecting hidden periodicity when the signal exhibits periodic correlation, but is additionally affected by non-Gaussian...
-
A Before-and-After Traffic Noise Analysis of a Roundabout Converted to a Signalized Intersection
Many public agencies have undertaken initiatives to convert from one intersection type to another to address issues of safety, operation, and...
-
Introduction
Kalman filtering is a powerful technology for state estimation of a dynamic system, which finds applications in many areas, including navigation,...
-
Natural Image Reconstruction for Noise-Affected Satellite Images Using ICA
The satellite imagery is one of key source of information gathering associated with environment, natural resource and reconnaissance. As satellite...