Sparse recovery techniques have been shown to produce very accurate acoustic images, significantly outperforming traditional deconvolution approaches. However, so far these propo...
Acoustic imaging is a computationally intensive and ill-conditioned inverse problem, which involves estimating high resolution source distributions with large microphone arrays. I...
Equalization techniques for room impulse responses (RIRs) are important in acoustic signal processing applications such as speech dereverberation. In practice, only approximate es...
Wancheng Zhang, Nikolay D. Gaubitch, Patrick A. Na...
In this paper, we propose an efficient algorithm for MR image reconstruction. The algorithm minimizes a linear combination of three terms corresponding to a least square data fitti...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
Abstract-- In many research fields of engineering and acoustics, the image-source model represents one of the most popular tools for the simulation of sound fields in virtual rever...