Bayesian Regularization and Nonnegative Deconvolution (BRAND) is proposed for estimating time delays of acoustic signals in reverberant environments. Sparsity of the nonnegative f...
We present a two-stage method for obtaining both phase and object estimates from phase-diversity time series data. In the first stage, the phases are estimated for each time frame...
Channel estimation error and co-channel interference (CCI) problems are among the main causes of performance degradation in wireless networks. In this paper, we investigate the im...
We present a new approach to static program analysis that permits each expression in a program to be assigned an execution time estimate. Our approach uses a time system in conjun...
The present paper investigates the influence of the execution history on the precision of measurementbased execution time estimates for embedded software. A new approach to timing...