Experimental validation of the precision of sinusoidal amplitude estimation using a least squares procedure in the presence of additive noise
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-95861-7
Abstract: This study focuses on fitting sinusoidal mathematical models to a set of measured data points by minimizing the least squares difference between data points and the model. We investigated the impact of various parameters such… read more here.
Keywords: sinusoidal amplitude; amplitude estimation; additive noise; amplitude ... See more keywords
Structure-preserving methods for Marcus stochastic Hamiltonian systems with additive Lévy noise
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Mathematical Physics"
DOI: 10.1063/5.0213902
Abstract: A general structure-preserving method is proposed for a class of Marcus stochastic Hamiltonian systems driven by additive Lévy noise. The convergence of the symplectic Euler scheme for this systems is investigated by Generalized Milstein Theorem.… read more here.
Keywords: marcus stochastic; stochastic hamiltonian; additive noise; structure preserving ... See more keywords
Filtering and smoothing estimation algorithms from uncertain nonlinear observations with time-correlated additive noise and random deception attacks
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2024.2328781
Abstract: ABSTRACT This paper discusses the problem of estimating a stochastic signal from nonlinear uncertain observations with time-correlated additive noise described by a first-order Markov process. Random deception attacks are assumed to be launched by an… read more here.
Keywords: time correlated; observations time; correlated additive; random deception ... See more keywords
TV-CCANM: a transformer variational inference in confounding cascade additive noise model for causal effect estimation
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2025.2516793
Abstract: Understanding causal mechanisms in complex systems requires methodologies capable of disentangling non-linear interactions across high-dimensional variables. While the Confounding Cascade Nonlinear Additive Noise Model (CCANM) coupled with variational autoencoders (VAEs) provides a foundation for latent… read more here.
Keywords: noise model; ccanm; confounding cascade; model ... See more keywords
Template-Based Statistical Modeling and Synthesis for Noise Analysis of Ballistocardiogram Signals: A Cycle-Averaged Approach
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2018.2871141
Abstract: Objective: Ballistocardiogram (BCG) can be recorded using inexpensive and non-invasive hardware to estimate physiological changes in the heart. In this paper, a methodology is developed to evaluate the impact of additive noise on the BCG… read more here.
Keywords: synthesis; methodology; template; additive noise ... See more keywords
Robustness of Synchronization to Additive Noise: How Vulnerability Depends on Dynamics
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2018.2825024
Abstract: From biological to technological networks, scientists and engineers must face the question of vulnerability to understand evolutionary processes or design-resilient systems. Here, we examine the vulnerability of a network of coupled dynamical units to failure… read more here.
Keywords: additive noise; robustness synchronization; vulnerability; network ... See more keywords
Distributed Observer for LTI Systems with Stochastic Communication Noise
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2025.3583617
Abstract: In networked systems, communication among agents is inevitably exposed to a variety of disturbances, including electromagnetic wave effects, multipath propagation, and other factors, which render the system performance degraded or even inoperative. These disturbances are… read more here.
Keywords: stochastic communication; distributed observer; additive noise; communication ... See more keywords
Guessing random additive noise decoding with symbol reliability information (SRGRAND)
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2021.3114315
Abstract: In computer communications, discrete data are first channel coded and then modulated into continuous signals for transmission and reception. In a hard detection setting, only demodulated data are provided to the decoder. If soft information… read more here.
Keywords: additive noise; noise decoding; information; complexity ... See more keywords
A Noise Cross-Extraction and Iterative Spectral Subtraction Method for Suppressing Additive Noise in Fiber Bragg Grating Sensing System
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3602596
Abstract: Additive noise suppression is a critical challenge for achieving high-accuracy demodulation in fiber Bragg grating (FBG) sensing systems, particularly under low signal-to-noise ratio (SNR) conditions. This article proposes a noise cross-extraction and iterative spectral subtraction… read more here.
Keywords: method; iterative spectral; noise cross; additive noise ... See more keywords
Covert Communication Over Additive-Noise Channels
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2024.3522151
Abstract: We study the fundamental limits of covert communications over general memoryless additive-noise channels. We assume that the legitimate receiver and the eavesdropper share the same channel and therefore see the same outputs. Under mild integrability… read more here.
Keywords: communication additive; covert communication; additive noise; noise channels ... See more keywords
MMSE Bounds for Additive Noise Channels Under Kullback–Leibler Divergence Constraints on the Input Distribution
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2019.2951221
Abstract: Upper and lower bounds on the minimum mean square error for additive noise channels are derived when the input distribution is constrained to be close to a Gaussian reference distribution in terms of the Kullback–Leibler… read more here.
Keywords: input distribution; noise channels; leibler divergence; additive noise ... See more keywords