The paper considers sparse array design for receive beamforming achieving maximum
signal-to-interference plus noise ratio (MaxSINR) for both single point source and multiple …

In large-scale wireless acoustic sensor networks (WASNs), many of the sensors will only
have a marginal contribution to a certain estimation task. Involving all sensors increases the …

Wireless acoustic sensor network (WASN) has a wide range of applications in internet of
things, where signal estimation is one of the network design objectives. Due to the existence …

In distributed acoustic sensor networks, only a few nodes make a significant contribution to
speech enhancement tasks. Using these most informative nodes instead of the entire …

Wireless acoustic sensor network (WASN) has shown a superiority over conventional
microphone arrays in many aspects. There exists an important tradeoff between the …

For multi-microphone speech enhancement, different microphones might have different
contributions, assome are even marginal. This is more likely to happen in wireless acoustic …

In wireless acoustic sensor networks (WASNs), sensors typically have a limited energy
budget as they are often battery-driven. Energy efficiency is, therefore, essential for the …

We are often surrounded by intelligent devices with one or more acoustic sensors, which
constitute a wireless acoustic sensor network (WASN) and can be exploited for various …

In massive distributed microphone arrays, such as in conference systems, the use of all
sensors leads to unnecessary energy consumption and limited network life, as some …

In this paper, the minimum variance distortionless response (MVDR) beamforming
technique is studied in the presence of a spatially coherently distributed (CD) source. In the …