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Concurrent blind deconvolution for channel equalization
TLDR
This paper proposes a concurrent equalizer in which a least mean square (LMS) equalizer operates cooperatively with a CMA equalizer, controlled through a non-linear link that depends on the system a priory state. Expand
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Progress in bacterial cellulose matrices for biotechnological applications.
Bacterial cellulose (BC) is an extracellular polymer produced by many microorganisms. The Komagataeibacter genus is the best producer using semi-synthetic media and agricultural wastes. The mainExpand
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Adaptive Concurrent Equalization Applied to Multicarrier OFDM Systems
TLDR
We propose a new technique based on concurrent de- convolution, also known as concurrent equalization, is based on the concurrent operation of two stochastic gradient time-domain algorithms, which improves the system robustness for fast varying channels. Expand
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Electrocardiogram pattern recognition by means of MLP network and PCA: a case study on equal amount of input signal types
TLDR
This work proposes a system to help the doctor to detect cardiac arrhythmia by means of a multilayer perceptron, using Principal Components Analysis with equal quantity for each type of signals. Expand
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RBF neural networks with centers assignment via Karhunen-Loeve transform
TLDR
A technique for assigning the Gaussian centers to radial basis function neural network (RBFNN) based on the Karhunen-Loeve transform (KLT), is proposed by applying this technique to time series prediction, a significant performance improvement is obtained in comparison with usual prediction methods that use RBFNNs. Expand
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8-VSB channel coding analysis for DTV broadcast
TLDR
We present BER (bit error rate) results for a codec simulator developed by the authors for assessing the robustness of the ATSC 8-VSB coding stage in presence of an additive Gaussian noise channel and of impulsive channel noise surges. Expand
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Concurrent blind channel equalization with phase transmittance RBF neural networks
TLDR
This paper presents a new complex valued radial basis function (RBF) neural network with phase transmittance between the input nodes and output, which makes it suitable for channel equalization on quadrature digital modulation systems. Expand
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A Dynamic Tap Allocation for Concurrent CMA-DD Equalizers
TLDR
This paper proposes a dynamic tap allocation for the concurrent CMA-DD equalizer as a low complexity solution for the blind channel deconvolution problem. Expand
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Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer
TLDR
This paper proposes a new blind concurrent equalization approach that combines a Phase Transmittance Radial Basis Function Neural Network (PTRBFNN) and the classic Constant Modulus Algorithm (CMA) in a concurrent architecture, with a Fuzzy Controller (FC) responsible for adapting the PTR BFNN and CMA step sizes. Expand
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Automatic gender identification by speech signal using eigenfiltering based on Hebbian learning
TLDR
This work presents an automatic gender identification algorithm based on eigenfiltering. Expand
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