Classification model for microphone type recognition
Signal Processing
2019-06-25 v1
Abstract
This paper presents a classification model for microphone type recognition in photoacoustic experiment. The classification model is obtained by applying a multilayer perceptron network on a large dataset of simulated experimental values. The model satisfies the basic requirements of a photoacoustic experiment: accuracy, reliability and real time operations.
Keywords
Cite
@article{arxiv.1906.09958,
title = {Classification model for microphone type recognition},
author = {Miroslava Jordovic Pavlovic and Aleksandar Kupusinac and Marica Popovic},
journal= {arXiv preprint arXiv:1906.09958},
year = {2019}
}
Comments
6 pages, 2 figures, 2 tables, conference Science and Higher Education in Function of Sustainable Development