Photoplethysmography (PPG) sensor-enabled wearable health monitoring devices can
monitor realtime health status. PPG technology is a low-cost, noninvasive optical method …

In this article, we present a powerful unifying framework for widely linear (WL) adaptive filters
building on the concept of geometric algebra (GA), including recently proposed complex …

This paper deals with the use of least mean squares (LMS, NLMS) and recursive least
squares (RLS) algorithms for total harmonic distortion (THD) reduction using shunt active …

The problem of received signal strength (RSS) source localization in wireless sensor
networks has raised attention in recent years due to its low complexity. However, the …

This paper presents weighted diffusion least mean p-power (LMP) algorithm for distributed
estimation of an unknown sparse vector in a sensor network. We consider a network, in …

For cyclostationary input signals, the normalized least mean square (NLMS) algorithm
suffers from large steady-state errors. The average mean square deviation (MSD) analysis of …

It is well-known that performance of the classical algorithms for active noise control (ANC)
systems severely degrades when implemented for controlling the impulsive sources. The …

Diffusion adaptation is a powerful strategy for distributed estimation and learning over
networks. Motivated by the concept of combining adaptive filters, this work proposes a …

Both convex and affine combinations are highly effective for distributed adaptive networks,
enabling these networks to create new diffusion strategies by combining the strengths of …

Wearable wrist type health monitoring devices use photoplethysmography (PPG) signal to
estimate heart rate (HR). The HR estimation from these devices becomes difficult due to the …