Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications
Environmental monitoring is one of the most important applications of wireless sensor
networks (WSNs), which usually requires a lifetime of several months, or even years …
networks (WSNs), which usually requires a lifetime of several months, or even years …
An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique
Baseline wander (BW) and power-line interference (PLI) tend to occur in every recorded
electrocardiogram (ECG) signal and can significantly deteriorate the quality of the signal …
electrocardiogram (ECG) signal and can significantly deteriorate the quality of the signal …
Efficient sign based normalized adaptive filtering techniques for cancelation of artifacts in ECG signals: Application to wireless biotelemetry
In this paper, several simple and efficient sign based normalized adaptive filters, which are
computationally superior having multiplier free weight update loops are used for cancelation …
computationally superior having multiplier free weight update loops are used for cancelation …
Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises
For pseudo-linear regression identification models corresponding output error systems with
colored measurement noises, a difficulty of identification is that there exist unknown inner …
colored measurement noises, a difficulty of identification is that there exist unknown inner …
Efficient and simplified adaptive noise cancelers for ECG sensor based remote health monitoring
In this paper, several simple and efficient sign and error nonlinearity-based adaptive filters,
which are computationally superior having multiplier free weight update loops are used for …
which are computationally superior having multiplier free weight update loops are used for …
Adaptive array beamforming using a combined LMS-LMS algorithm
A new adaptive algorithm, called least mean square-least mean square (LLMS) algorithm,
which employs an array image factor,, sandwiched in between two least mean square (LMS) …
which employs an array image factor,, sandwiched in between two least mean square (LMS) …
A switched variable step size NLMS adaptive filter
NJ Bershad, JCM Bermudez - Digital Signal Processing, 2020 - Elsevier
This paper studies the statistical behavior of a switched variable step size Normalized Least
Mean Square adaptive filter. The purpose of the switching is to obtain a Normalized Least …
Mean Square adaptive filter. The purpose of the switching is to obtain a Normalized Least …
[HTML][HTML] Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems
J Chen, Y Zhang, R Ding - Mathematical and Computer Modelling, 2010 - Elsevier
This paper considers the identification problem for multi-input multi-output nonlinear
systems. The difficulty of the parameter identification of such systems is that the information …
systems. The difficulty of the parameter identification of such systems is that the information …
Analysis on the adaptive filter based on LMS algorithm
Z Zhu, X Gao, L Cao, D Pan, Y Cai, Y Zhu - Optik, 2016 - Elsevier
This article focuses on the application of adaptive filter based on the LMS algorithm. An
adaptive filter of the closed-loop system is introduced, including the elimination of …
adaptive filter of the closed-loop system is introduced, including the elimination of …
Statistical analysis of narrowband active noise control using a simplified variable step-size FXLMS algorithm
Y Ma, Y Xiao, L Ma, K Khorasani - Signal Processing, 2021 - Elsevier
In this paper, an in-depth statistical analysis is conducted for a typical narrowband active
noise control (ANC, NANC) system that is based on a simplified variable step-size (VSS) …
noise control (ANC, NANC) system that is based on a simplified variable step-size (VSS) …