Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
In this paper, a practical approach for detecting packet-based orthogonal frequency division multiplexing (OFDM) signals in the presence of phase noise is presented. An OFDM packe...
Many modern database applications require content-based similarity search capability in numeric attribute space. Further, users' notion of similarity varies between search se...
Abstract— We present an algorithm for infinitesimal motion estimation and segmentation from multiple central panoramic views. We first show that the central panoramic optical ...
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...