Filtering device and method for reducing noise in electrical...

Data processing: artificial intelligence – Fuzzy logic hardware

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

76

Reexamination Certificate

active

07028015

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.

REFERENCES:
patent: 5220373 (1993-06-01), Kanaya
patent: 5371695 (1994-12-01), Baraszu
patent: 6208981 (2001-03-01), Graf et al.
A new postprocessing algorithm to reduce artifacts in block-coded images Mancuso, M.; Besana, M.; Poluzzi, R.; Consumer Electronics, IEEE Transactions on ,vol.: 43, Issue: 3, Aug. 1997 pp.: 303-307.
Fuzzy logic based image processing on IQTV environment Mancuso, M.; D'Alto, V.; De Luca, R.; Poluzzi, R., Rizzotto, G.G.; Consumer Electronics, IEEE Transactions on ,vol. 41 , Issue: 3 , Aug. 1995 pp.: 917-925.
PROXIMA: PROlog eXecutIon MAchine Baldi, L.; Civera, P.; lurlaro, A.; Masera, G.; Pagni, A.; Piccinini, G.; Poluzzi, R.; Roch, M.R.; Zamboni, M.; Solid-State Circuits, IEEE Journal of ,vol.: 28, Issue: 3 , Mar. 1993 pp.: 362-370.
Neuro-fuzzy filtering techniques for automatic speech recognition enhancement Poluzzi, R.; Arnone, L.; Savi, A.; Brescianini, M., Intelligent Signal Processing, 2003 IEEE International Symposium on , Sep. 4-6, 2003 pp.: 255-258.
A New Post-processing Algorithm To Reduce Artefacts In Block-coded Images Mancuso, M.; Besana, M.; Poluzzi, R.;Consumer Electronics, 1997. Digest of Technical Papers. ICCE., International Conference on , Jun. 11-13, 1997 pp.: 30-37
Fuzzy Logic Based Image Processing in IQTV Environment Mancuso, M.; D'Alto, V.; DeLuca, R.; Poluzzi, R.; Rizzotto, G.G.; Consumer Electronics, 1995., Proceedings of International Conference on , Jun. 7-9, 1995 pp.: 138.
Fuzzy edge-oriented motion-adaptive noise reduction and scanning rate conversion Mancuso, M.; D'Alto, V.; Poluzzi, R.;Circuits and Systems, 1994. APCCAS '94., 1994 IEEE Asia-Pacific Conference on , Dec. 5-8, 1994 pp.: 652-656.
Hardware and software integrated toolkit for low cost analog fuzzy controllers Franchi, E.; Rovatti, R.; Manaresi, N.; Ragazzoni, R.; Guerrieri, R.; Baccarani, G.; Poluzzi, R.; Industrial Electronics, Control and Instrumentation, 1994. IECON '94., vol. 2.
Automatic synthesis, analysis and implementation of a fuzzy controller Pagni, A.; Poluzzi, R.; Rizzotto, G.; Lo Presti, M.; Fuzzy Systems, 1993., Second IEEE International Conference on, Mar. 28-Apr. 1, 1993 pp.: 105-110 vol. 1.
DC/DC converters fuzzy control Pagni, A.; Poluzzi, R.; Rizzotto, G.; Lo Presti, M.; Industrial Fuzzy Control and Intelligent Systems, 1993., IFIS '93., Third International Conference on , Dec. 1-3, 1993 pp.: 14-17.
A Monte Carlo model of noise components in 3D PET Castiglioni, I.; Cremonesi, O.; Gilardi, M.-C.; Savi, A.; Bettinardi, V.; Rizzo, G.; Bellotti, E., Fazio, F.; Nuclear Science, IEEE Transactions on ,vol. 49 , Issue: 5, Oct. 2002 pp.: 2297-2303.
Iterative reconstruction of SPECT data with adaptive regularization Riddell, C.; Buvat, I.; Savi, A.; Gilardi, M.-C.; Fazio, F.;Nuclear Science, IEEE Transactions on ,vol.: 49 , Issue: 5, Oct. 2002 pp.: 2350-2354.
Scatter correction techniques in 3D PET: a Monte Carlo evaluation Castiglioni, I.; Cremonesi, O.; Gilardi, M.C.; Bettinardi, V.; Rizzo, G.; Savi, A.; Bellotti, E., Fazio, F.; Nuclear Science, IEEE Transactions on ,vol.: 46, Issue: 6, 1999 pp.: 2053-2058.
Frequency weighted least squares reconstruction of truncated transmission SPECT data Riddell, C.; Savi, A.; Gilardi, M.C.; Fazio, F.; Nuclear Science, IEEE Transactions on ,vol.: 43 , Issue: 4 , Aug. 1996 pp.: 2292-2298.
Lesion detectability and quantification in PET/CT oncological studies by Monte Carlo simulations Castiglioni, I.; Rizzo, G.; Gilardi, M.C.; Bettinardi, V.; Savi, A.; Fazio, F.; Nuclear Science Symposium Conf Record, 2003 IEEE ,vol.: 5 , pp.: 3032-3035.
Fast reconstruction of truncated transmission SPECT data Riddell, C.; Savi, A.; Gilardi, M.C.; Fazio, F.; Nuclear Science Symposium and Medical Imaging Conference Record, 1995., 1995 IEEE ,vol.: 2, Oct.21-28, 1995 pp.: 1107-1110 vol. 2.
Tsai, H. et al., “On the Design of Neuro-Fuzzy Hybrid Multichannel Filters to Remove Impulsive Noise for Color Image Restoration,”Journal of Electronic Imaging, 9(2):117-139, Apr. 2000.
Castellanos, R. et al., “Performance of Nonlinear Methods in Medical Image Restoration,”in Proceedings of the IS&T/SPIE Conference on Nonlinear Image Processing X, Dept. of Elec. Engineering, Texas Tech. Univ., San Jose, California, Jan. 1999, pp. 252-258.
Di Giura, M. et al., “Adaptive Fuzzy Filtering for Audio Applications Using Neuro-Fuzzy Modelization,”in Proceedings of IEEE International Conf. On Neural Networks, Houston,Texas, Jun. 1997, pp. 2162-2166.
Russo, F., “Hybrid Neuro-Fuzzy Filter for Impulse Noise Removal,”Journal of Patent Recognition, 32(11):1843-1855, 1999.
Ainsleigh, “B-Wavelet-Based Noise-Reduction Algorithm,”IEEE Trans. on Signal Processing, 44(5):1279-1284, May 1996.
Arakawa, K., “Fuzzy Rule-Based Signal Processing and Its Application to Image Restoration,”IEEE Journal on Selected Areas in Communications, 12(9):1495-1502, Dec. 1994.
Cohen, A. et al., “Wavelets: The Mathematical Background,”Proceedings of the IEEE, 84(4):514-522, Apr. 1996.
Hess-Nielsen, N. et al., “Wavelets and Time-Frequency Analysis,”Proceedings of the IEEE, 84(4):523-540, Apr. 1996.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Filtering device and method for reducing noise in electrical... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Filtering device and method for reducing noise in electrical..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Filtering device and method for reducing noise in electrical... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3535482

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.