Company Filing History:
Years Active: 1996
Title: Martin M Morici: Innovator in Wavelet Classification Technology.
Introduction
Martin M Morici is an accomplished inventor based in Baltimore County, MD (US). He is known for his innovative contributions to the field of signal processing, particularly in the development of classifiers that enhance target recognition capabilities.
Latest Patents
One of Morici's notable patents is the "General frame wavelet classifier." This invention employs general frame wavelets to improve target recognition while reducing computational intensity. The patent describes a wavelet selection mechanism that compares a portion of a time-dependent input signal from a receiver with a set of sample wavelets. Each wavelet is bandpass limited, locally supported, and has a mean of zero. The system selects a prototype wavelet that closely resembles the input portion. A resolving mechanism expands this prototype onto a basis of wavelet functions with variations in scale and delay, allowing for effective resolution of the input signal. Additionally, a regionpass filter identifies a specific region from a grid of resolved coefficients that contains features of a target, discarding coefficients outside this region. A separability filter then passes select coefficients from a scale band within the identified region where separability among known targets is high. Finally, a comparator compares the selected coefficients with an exemplar of known targets to indicate recognition of the target.
Career Highlights
Morici is currently associated with Westinghouse Electric Corporation, where he applies his expertise in wavelet classification technology. His work has significantly contributed to advancements in target recognition systems.
Collaborations
Throughout his career, Morici has collaborated with notable colleagues, including Scott A Imhoff and Martin G Woolfson. These collaborations have fostered innovation and development in their respective fields.
Conclusion
Martin M Morici's contributions to wavelet classification technology exemplify his commitment to innovation in signal processing. His patent on the general frame wavelet classifier showcases his ability to enhance target recognition while minimizing computational demands.