Image analysis – Image compression or coding – Transform coding
Reexamination Certificate
2008-04-21
2011-10-18
Alavi, Amir (Department: 2624)
Image analysis
Image compression or coding
Transform coding
Reexamination Certificate
active
08041136
ABSTRACT:
A system and method of signal processing using linear or non-linear signal transformation and fractal dimension based analysis. Using a transform process (i.e. wavelet transform, Fourier transform, ICA transform, etc.), a signal is decomposed into a series of coefficients or components. Within this transform domain, fractal dimensions of the components are computed. The components with fractal dimensions higher than a pre-determined threshold are then selectively processed. A modified signal is reconstructed using inverse transform of the signal components.
REFERENCES:
patent: 5065447 (1991-11-01), Barnsley et al.
patent: 5848198 (1998-12-01), Penn
patent: 5870502 (1999-02-01), Bonneau et al.
patent: 6360021 (2002-03-01), McCarthy et al.
patent: 6360122 (2002-03-01), Fischell et al.
patent: 6654623 (2003-11-01), Kästle
patent: 7054453 (2006-05-01), Causevic et al.
patent: 7299088 (2007-11-01), Thakor et al.
patent: 7302064 (2007-11-01), Causevic et al.
patent: 7373198 (2008-05-01), Bibian et al.
patent: 7904144 (2011-03-01), Causevic et al.
patent: 2002/0039455 (2002-04-01), Kanamaru et al.
patent: 2002/0141652 (2002-10-01), Charrier et al.
patent: 2004/0223656 (2004-11-01), Moreira
patent: 2005/0207660 (2005-09-01), Edgar
patent: 2006/0165307 (2006-07-01), Kondo et al.
patent: 2006/0217632 (2006-09-01), Causevic et al.
patent: 2007/0032737 (2007-02-01), Causevic et al.
patent: 2007/0173732 (2007-07-01), Causevic et al.
patent: 2009/0263034 (2009-10-01), Causevic
patent: 2010/0191139 (2010-07-01), Jacquin et al.
patent: 2011/0087125 (2011-04-01), Causevic
patent: 2011/0112426 (2011-05-01), Causevic
patent: WO 2006/034024 (2006-03-01), None
Vorobyov et al., “Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis,” Biol. Cybern. 86, 293-303 (2002).
Blakely, “A fast empirical mode decomposition technique for nonstationary nonlinear time series,” Center for Scientific Computation and Mathematical Modeling, University of Maryland, College Park, Oct. 3, 2005.
Hadjileontiadis et al., “Empirical mode decomposition and fractal dimension filter,” IEEE Engineering in Medicine and Biology Magazine, Jan./Feb. 2007, p. 30-39.
PCT Search Report and Written Opinion issued by European Patent Office in International Application No. PCT/US2009/041109, mailing date Jun. 8,2009.
Comon, “Independent component analysis, A new concept?,”Signal Processing, 36:287-314 (1994).
Delorme et al., “Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis,”Neurolmage34:1443-1449 (2007).
Higuchi, “Approach to an Irregular Time Series on the Basis of the Fractal Theory,”Physica D31:277-283 (1988).
Hyvärinen, “Fast and robust fixed-point algorithms for independent component analysis,”IEEE Transactions on Neural Networks10(3):626-634 (1999).
Jung et al., “Removing electroencephalographic artifacts by blind source separation,”Psychophysiology37:163-178 (2000).
Ksiezyk et al., “Neural networks with wavelet preprocessing in EEG artifact recognition,” Laboratory of Medical Physics, Institute of Experimental Physics, Warsaw University, Hoza 69 00 681 Warszawa, Poland, 1999.
U.S. Appl. No. 12/059,014, filed Mar. 31, 2008.
U.S. Appl. No. 12/041,106, filed Mar. 3, 2008.
Alavi Amir
Brainscope Company, Inc.
Finnegan Henderson Farabow Garrett & Dunner L.L.P.
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