Abstract-In this paper, we make use of a blind adaptive linear predictor for channel shortening in single input multiple output (SIMO) channels. We compare our approach to the so-called MERRY blind channel shortener. We assess through simulations that our proposed approach provides faster convergence rate and it better exploits the spatio-temporal diversity present in the SIMO channels.
This paper introduces an improved spectrum sensing technique that exploits the existing information in the signals received from both electric power grids and wireless media to allow power line communication systems to monitor the spectrum occupancy/holes in the frequency band between 1.7 and 100 MHz. The applied procedure for implementing the proposed technique is organized in time-frequency mapping, selection and extraction of quanta, features extraction and selection, and detection. The attained results based on a measured data set show that the performance of techniques based on neural networks is far superior when compared to the techniques based on Bayes.
This work introduces the warped discrete-time Stransform and the warped discrete S-transform to improve the time frequency representation of the well-known S-transform. The proposed transforms make use of a non-uniform mapping of tones in the frequency domain to increase the time frequency resolution in a specified frequency band. Numerical results show that the warped discrete S-transform can offer better timefrequency representation than discrete S-transform and short time discrete Fourier transform. As a result, it has the potential to increase the performance of techniques based on S-transform that have being designed to analyze non-stationary signals. Finally, it is demonstrated that the discrete S-transform is a particular case of the warped discrete S-transform.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.