We study a scalable approach to information fusion for large sensor networks. The algorithm, field inversion by consensus and compressed sensing (FICCS), is a distributed method for detection, localization, and estimation of a propagating field generated by an unknown number of point sources. The approach combines results in the areas of distributed average consensus and compressed sensing to f...

Speech recognition using articulatory features estimated using Acoustic-to-Articulatory Inversion (AAI) is considered. A recently proposed sparse smoothing approach is used to postprocess the estimates from Gaussian Mixture Model (GMM) based AAI using MinimumMean Squared Error (MMSE) criterion. It is well known that low-pass smoothing as post-processing improves the AAI performance. Sparse smoo...

I realize and analyze a model-based joint tomography scheme in this paper. Surface reflection seismic data and VSP traveltimes are used simultaneously to invert the velocity by using an integrated inversion scheme. Since more data are used, the integrated tomography can obtain more accurate inversion results with lower uncertainty. Using identity operator as integration operator, I apply this m...

In this paper, we propose two algorithms to enhance the interpretability of hyperbola in B-scans obtained with a Ground Penetrating Radar (GPR). These hyperbolas are responses buried objects or cavities. To correctly detect and classify them, denoising is typically necessary for GPR images as signal-to-noise ratio low, various interfaces naturally present earth have strong response. Both based ...