Patents by Inventor Cristoforo Mione

Cristoforo Mione has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Filtering device and method for reducing noise in electrical signals, in particular acoustic signals and images
    Patent number: 7028015
    Abstract: A neuro-fuzzy filter device that implements a moving-average filtering technique in which the weights for final reconstruction of the signal are calculated in a neuro-fuzzy network according to specific fuzzy rules. The fuzzy rules operate on three signal features for each input sample. The signal features are correlated to the position of the sample in the considered sample window, to the difference between a sample and the sample at the center of the window, and to the difference between a sample and the average of the samples in the window. The filter device for the analysis of a voice signal includes a bank of neuro-fuzzy filters. The signal is split into a number of sub-bands, according to wavelet theory, using a bank of analysis filters including a pair of FIR QMFs and a pair of downsamplers; each sub-band signal is filtered by a neuro-fuzzy filter, and then the various sub-bands are reconstructed by a bank of synthesis filters including a pair of upsamplers, a pair of FIR QMFs, and an adder node.
    Type: Grant
    Filed: November 28, 2001
    Date of Patent: April 11, 2006
    Assignee: STMicroelectronics S.r.l.
    Inventors: Rinaldo Poluzzi, Cristoforo Mione, Alberto Savi
  • Filtering device and method for reducing noise in electrical signals, in particular acoustic signals and images
    Publication number: 20020123975
    Abstract: A neuro-fuzzy filter device that implements a moving-average filtering technique in which the weights for final reconstruction of the signal are calculated in a neuro-fuzzy network according to specific fuzzy rules. The fuzzy rules operate on three signal features for each input sample. The signal features are correlated to the position of the sample in the considered sample window, to the difference between a sample and the sample at the center of the window, and to the difference between a sample and the average of the samples in the window. The filter device for the analysis of a voice signal includes a bank of neuro-fuzzy filters. The signal is split into a number of sub-bands, according to wavelet theory, using a bank of analysis filters including a pair of FIR QMFs and a pair of downsamplers; each sub-band signal is filtered by a neuro-fuzzy filter, and then the various sub-bands are reconstructed by a bank of synthesis filters including a pair of upsamplers, a pair of FIR QMFs, and an adder node.
    Type: Application
    Filed: November 28, 2001
    Publication date: September 5, 2002
    Applicant: STMicroelectronics S.r.l.
    Inventors: Rinaldo Poluzzi, Cristoforo Mione, Alberto Savi