Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications

M Wu, L Tan, N Xiong - Information Sciences, 2016 - Elsevier
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 …

An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique

A Singhal, P Singh, B Fatimah, RB Pachori - Biomedical Signal Processing …, 2020 - Elsevier
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 …

Efficient sign based normalized adaptive filtering techniques for cancelation of artifacts in ECG signals: Application to wireless biotelemetry

MZU Rahman, RA Shaik, DVRK Reddy - Signal processing, 2011 - Elsevier
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 …

Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises

F Ding, PX Liu, G Liu - Signal Processing, 2009 - Elsevier
For pseudo-linear regression identification models corresponding output error systems with
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

MZU Rahman, RA Shaik, DVRK Reddy - IEEE Sensors Journal, 2011 - ieeexplore.ieee.org
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 …

Adaptive array beamforming using a combined LMS-LMS algorithm

JA Srar, KS Chung, A Mansour - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
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) …

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 …

[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 …

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 …

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) …