Moving differential and dynamic window moving averaging are simple and well-known
signal processing algorithms. However, the most common methods of obtaining sufficient …

This work studies the application of low-cost noise reduction algorithms for the data
processing of distributed acoustic sensors (DAS). It presents an improvement of the …

Distributed vibration sensing based on phase-sensitive optical time domain reflectometry (ϕ-
OTDR) is being widely used in several applications. However, one of the main challenges in …

The benefit of using external acoustic sensor nodes for noise reduction in hearing aids is
demonstrated in a simulated acoustic scenario with multiple sound sources. A distributed …

We experimentally introduce a normalized differential method to enhance the time domain
signal-to-noise ratio (SNR) of an optical fiber distributed acoustic sensor (DAS). The …

The paper presents distributed algorithms for combined acoustic echo cancellation (AEC)
and noise reduction (NR) in a wireless acoustic sensor and actuator network (WASAN) …

Distributed acoustic sensors (DAS) utilize optical fibers to monitor vibrations across
thousands of independent locations. However, the measured acoustic waveforms …

An adaptive distributed noise reduction algorithm for speech enhancement is considered,
which operates in a wireless acoustic sensor network where each node collects multiple …

Monitoring of remote seismic events in metropolitan area fibers using distributed acoustic
sensing (DAS) and spatio- temporal si Page 1 M2J.1.pdf OFC 2019 © OSA 2019 Monitoring …

In distributed acoustic sensing (DAS) an optical fiber is transformed into an array of
thousands of “virtual microphones.” Most current DAS methodologies are based on coherent …