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Advanced signal processing techniques on telecommunications: desconvolution and identification


The present research proposal aims the investigation, development and evaluation of advanced signal processing techniques, the main applications of which are concerned with the modern telecommunications systems. Such techniques are particularly related with the problem of signal, or signals, recovery after the typical distortions and interference provided by non-ideal transmission channels. The solutions to be considered in the present proposal involve linear and non-linear filtering, supervised and non-supervised adaptive processing, evolutive algorithms and neural networks. lndeed the above themes have been object of a number of recent publications, but the lack of some crucial points can be verified, as far as non-explored potential techniques and non-established unified results are concerned. The expertise of the research team and its interaction capability has been intensively developed during the last four years. Unsupervised adaptive processing, artificial neural networks, evolutive algorithms, and a large scope of applications in communications were some of common areas of research works, even if in a non systematic way. So the project intends to stimulate a style of working so that the different approaches could be clustered in a more unified study, with a common focus on the application in communications systems. The basic core of the group is located at the Computer and Electrical Engineering Faculty of UNICAMP. The partnership will be extended to Mackenzie University, to provide a better dissemination of the acquired knowledge at the State of São Paulo, and to the group in the University of Maryland, Baltimore. Finally, the impact of the investigated techniques in practical technological solutions is supposed to be evaluated by means of real-time implementations in DSP and FPOA boards. This feature allows providing validate results for the scientific community and a more realistic perspective of applicability of the proposed techniques in industrial solutions. (AU)

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SOUZA‚ R.D.; GARCIA-FRIAS‚ J.; ROCHA LOPES‚ R.. Turbo equalization for block fading MIMO channels using random signal mapping. COMPUTERS & ELECTRICAL ENGINEERING, v. 33, n. 2, p. 79-87, . (02/12216-3)
CHAVES, FABIANO DE SOUSA; ABBAS-TURKI, MOHAMED; ABOU-KANDIL, HISHAM; TRAVASSOS ROMANO, JOAO MARCOS. Transmission Power Control for Opportunistic QoS Provision in Wireless Networks. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, v. 21, n. 2, p. 315-331, . (02/12216-3)
RIBEIRO, MOISÉS VIDAL. Learning rate updating methods applied to adaptive fuzzy equalizers for broadband power line communications. EURASIP Journal on Advances in Signal Processing, v. 16, p. 2592-2599, . (02/12216-3)
BARBEDO‚ J.G.A.; LOPES‚ A.; OTHERS. Fourier-lapped multilayer perceptron method for speech quality assessment. EURASIP Journal on Advances in Signal Processing, v. 2005, n. 9, p. 1425-1434, . (02/12216-3)

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