@article {Hambric:2025:0736-2935:8,
title = "Multiple Microphone Miracles - Rejecting Unwanted Data from Your Measurements",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2025",
volume = "271",
number = "2",
publication date ="2025-07-25T00:00:00",
pages = "8-17",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2025/00000271/00000002/art00002",
doi = "doi:10.3397/NC_2025_0007",
author = "Hambric, Stephen and Taggart, Andrew and Walber, Chad",
abstract = "Single microphones may not be able todistinguish a sound source of interest from others in the vicinity,hear a source in windy environments, ormeasure faint signals which may be below the microphone noise floor.However, adding just a single additional microphone
can help resolve all these issues.This paper reviews how ICP microphones work and explains their noise floors. Next, we'll explainhow to combine the signals from two or more microphones totell one source from another,filter unwanted sources (like flow-induced
pressures)fromdata, andreduce noise floors to measure very low signals.We process the signal pairs using cross-spectral analysisto calculate the coherence between the signals. The coherence can helpextract a desired signal or reject undesired
ones.",
}