https://rdu.iua.edu.ar/handle/123456789/255 Análisis, Desarrollo e Implementación de Métodos Avanzados de Tratamiento de Señales y su aplicación a la Defensa Electrónica 2026-04-08T03:38:00Z https://rdu.iua.edu.ar/handle/123456789/268 Título: Informe Técnico de Avance 2011 Autores: Domínguez, Alfredo Eduardo; Naguil, J. L. 2011-01-01T00:00:00Z https://rdu.iua.edu.ar/handle/123456789/267 Título: Informe Técnico de Avance 2012 Autores: Domínguez, Alfredo Eduardo; Naguil, J. L. 2012-01-01T00:00:00Z https://rdu.iua.edu.ar/handle/123456789/261 Título: Watermark Detector Based on Stochastic Resonance Phenomenon Autores: Lanfranco, S; Mazzini, L. H.; Domínguez, Alfredo Eduardo; Naguil, J. L. Resumen: In this work it is presented an application of the striking Stochastic Resonance phenomenon to Telecommunication field. This allows the detection of signals in very low signal-noise scenarios only if the appropriated amount of noise is added. As a result of our analysis we developed a prototype over FPGA development board which consists of a detector system of watermarks in audio signals based on Stochastic Resonance mechanism. 2013-02-01T00:00:00Z https://rdu.iua.edu.ar/handle/123456789/260 Título: Comparative Analysis of Wavelet and EMD in the Filtering of Radar Signal Affected by Brown Noise Autores: Grispino, Alberto Sebastián; Petracca, Gabriel Oscar; Domínguez, Alfredo Eduardo Resumen: In Electronic Warfare the goal of the attacker is interfering with communications of his adversary. A common type of attack is Jamming which corrupts the electronic devices s signals by introducing intentionally different kinds of noise. In particular, in the context of radar systems, the attacker's actions tend to avoid detection by the radar system. In this paper we carry out the signal processing of pulse radar in the presence of brown noise by two different digital filters: Discrete Wavelet Transform (DWT) and Empiric Mode Decomposition (EMD). From the comparison between both results we obtain that EMD filtering is much more effective than DWT filtering for the situation described above. 2013-02-01T00:00:00Z