Resumo

IGLESIAS MARTINEZ, Miguel Enrique; LOPEZ PORTILLA, Bárbaro M.  e  HERNANDEZ MONTERO, Fidel Ernesto. HARMONICS ESTIMATION ON FPGA APPLYING HIGHER-ORDER STATISTICS AND CONVOLUTION. EAC [online]. 2013, vol.34, n.2, pp. 48-62. ISSN 1815-5928.

This work is about the FPGA implementation of a joint model that applies higher-order statistical characteristics (cumulants), combined with a convolution process , which allows to obtain the spectral components with their amplitude, frequency and phase originals, contaminated by a noise process of normal distribution, even not knowing the input signal. The main contribution of this work is the implementation of the proposed model on a fully parallel architecture, for use in real-time applications in noise cancellation and signal detection. The results obtained highly satisfactory, demonstrate the effectiveness of the use of higher order statistical characteristics and its combination with the second order processing (convolution), for noise reduction and parameters estimations , among other tasks.

Palavras-chave : cumulants; FPGA; estimation; noise cancellation.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )