The diversity gain of a multiple-input multiple-output (MIMO) system adopting the Neyman-Pearson (NP) criterion is derived for a signal-present versus signal-absent scalar hypothe...
This paper presents a new method for extracting orthogonal bases from AM-FM signals. Since AM-FM signals are non-stationary, appropriate basis functions are sought provided that i...
This paper describes subspace constrained feature space maximum likelihood linear regression (FMLLR) for rapid adaptation. The test speaker’s FMLLR rotation matrix is decomposed...
Deep Neural Networks (DNNs) denote multilayer artificial neural networks with more than one hidden layer and millions of free parameters. We propose a Generalized Discriminant An...
We propose a driver risk evaluation method based on the analysis of driving data captured with drive recorders. To evaluate the acceleration behavior of each driver we plot the ma...