Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...
Nicholas Navaroli, David Turner, Arturo I. Concepc...
We present a component-based description language for heterogeneous systems composed of several data flow processing components and a unique eventbased controller. Descriptions a...
Abstract— In this contribution we design the Iteratively Decoded Self-Concatenated Convolutional Codes (SECCC-ID) using Extrinsic Information Transfer (EXIT) charts. Good constit...
Muhammad Fasih Uddin Butt, Soon Xin Ng, Lajos Hanz...
While most transmission schemes in OBS networks relegate retransmission to higher protocol layers, the scheme proposed in this paper reduces retransmission delays by exploiting ...