Empirical Bayesian regularization of the inverse acoustic problem
This paper answers the challenge as how to automatically select a good regularization
parameter when solving inverse problems in acoustics. A Bayesian solution is proposed that …
parameter when solving inverse problems in acoustics. A Bayesian solution is proposed that …
Modal analysis of in-duct fan broadband noise via an iterative Bayesian inverse approach
A Pereira, MC Jacob - Journal of Sound and Vibration, 2022 - Elsevier
An advanced duct microphone array analysis based on a user friendly iterative Bayesian
Inverse Approach (iBIA) has been successfully applied to assess the modal content and the …
Inverse Approach (iBIA) has been successfully applied to assess the modal content and the …
Sparse acoustical holography from iterated Bayesian focusing
In a previous work, an attempt was made to give a unified view of some acoustic holographic
methods within a Bayesian framework. One advantage of the so-called “Bayesian Focusing” …
methods within a Bayesian framework. One advantage of the so-called “Bayesian Focusing” …
Regularization, Bayesian inference, and machine learning methods for inverse problems
A Mohammad-Djafari - Entropy, 2021 - mdpi.com
Classical methods for inverse problems are mainly based on regularization theory, in
particular those, that are based on optimization of a criterion with two parts: a data-model …
particular those, that are based on optimization of a criterion with two parts: a data-model …
Spectral matrix completion by cyclic projection and application to sound source reconstruction from non-synchronous measurements
A fundamental limitation of the inverse acoustic problem is determined by the size of the
array and the microphone density. A solution to achieve large array and/or high microphone …
array and the microphone density. A solution to achieve large array and/or high microphone …
High-resolution acoustic beamforming based on genetic algorithms
Y ** acoustic source powers and positions
from limited observations on microphone sensors, which often causes an ill-conditioned …
from limited observations on microphone sensors, which often causes an ill-conditioned …