Electrical computers: arithmetic processing and calculating – Electrical digital calculating computer – Particular function performed
Reexamination Certificate
2005-07-12
2009-11-03
Ngo, Chuong D (Department: 2193)
Electrical computers: arithmetic processing and calculating
Electrical digital calculating computer
Particular function performed
C708S322000
Reexamination Certificate
active
07613758
ABSTRACT:
A Q-Filter is a reconfigurable technique that performs a continuum of linear and nonlinear filtering operations. It is modeled by unique mathematical structure, utilizing a function called the Q-Measure, defined using a set of adjustable kernel parameters to enable efficient hardware and software implementations of a variety of useful, new and conventional, filtering operations. The Q-Measure is based on an extension of the well-known Sugeno λ-Measure. In order to optimize the Q-Filter kernel parameters, the value of an error function is minimized. The error function is based on difference between the filtered signal and target signal, with the target signal being a desired result of filtering.
REFERENCES:
patent: 4438504 (1984-03-01), Favin
patent: 6009448 (1999-12-01), Jong et al.
patent: 6154547 (2000-11-01), Whitecar
patent: 2002/0181615 (2002-12-01), Kuzminsky et al.
Meng-Al An, “PCT International Search Report and Written Opinion,” WIPO, ISA/US, Commissioner for Patents, Alexandria, VA, USA, Jan. 24, 2007.
Nora Lindner, “PCT International Preliminary Report on Patentability,” The International Bureau of WIPO, Geneva, Switzerland, Aug. 30, 2007.
Mohamed Magdi A.
Xiao Weimin
Motorola Inc.
Ngo Chuong D
LandOfFree
Method for optimization of Q-Filter kernel parameters does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method for optimization of Q-Filter kernel parameters, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for optimization of Q-Filter kernel parameters will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4134056