In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
A study of generalization error in signal detection by multiple spatially-distributed and -correlated sensors is provided when the detection rule is learned from a finite number ...
In this paper we discuss rate control for multiuser multicarrier systems, where the transmitter has a single antenna and is subject to a PSD mask limitation while the receiver has...
Applied digital signal processing courses offered at many universities do not normally include FPGA implementation of signal processing algorithms. This is due to the fact that st...
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
The Multiple Signal Classification (MUSIC) algorithm for acoustic imaging most commonly assumes that all sources have undirectional radiation pattern. We here propose a modifica...
Forooz Shahbazi Avarvand, Andreas Ziehe, Guido Nol...
In this paper, we propose a new adaptation mode controller (AMC) for a generalized sidelobe canceller (GSC) having prior knowledge of the direction-of-arrival (DOA) of a desired s...
We consider the problem of semi-supervised segmentation of textured images. Recently, reweighted belief propagation has been introduced as a solution for Bayesian inference with r...
In this paper we suggest how several competing image denoising algorithms, differing in design parameters, or even in design principles, can be combined together to yield a better...
Node localization is an important task in the context of wireless sensor networks. Although algorithms already exist to carry out localization using measurements of received signa...
Andrea Edelstein, Xi Chen, Yunpeng Li, Michael Rab...