This inventor holds 1 USPTO granted patent. Top assignee: Martin Marietta Corporation. Active years: 1996.
Company Filing History:
Years Active: 1996
Title: Innovations of Charles Stirman in Sensor Data Classification
Introduction
Charles Stirman is an accomplished inventor based in Maitland, FL (US). He has made significant contributions to the field of sensor data classification, particularly through his innovative patent. His work focuses on improving the accuracy and efficiency of classifiers used to estimate the classification of sensed objects.
Latest Patents
Stirman's notable patent is titled "Wavelet transform implemented classification of sensor data." This invention presents an improved classifier that estimates the classification of a sensed object. The process begins with data received from a sensor, such as radar, which is then transformed into wavelet transform coefficients. A subset of these coefficients is selected, which is smaller than the original data size. This subset is utilized by a classifier to generate the classification of the sensed object. The classifier can be either a correlation classifier or a quadratic classifier. Additionally, a wavelet fusion classifier enhances performance by transforming data from a single sensor into reduced subsets of wavelet transform coefficients for both types of classifiers. The output with the highest confidence level is selected as the estimated classification of the sensed object. Stirman holds 1 patent for this innovative work.
Career Highlights
Charles Stirman is currently associated with Martin Marietta Corporation, where he continues to apply his expertise in sensor technology and data classification. His career has been marked by a commitment to advancing the capabilities of classification systems, making significant strides in the field.
Collaborations
One of his notable collaborators is Larry Peele, with whom he has worked closely on various projects related to sensor data classification.
Conclusion
Charles Stirman's contributions to the field of sensor data classification through his innovative patent demonstrate his commitment to enhancing technology in this area. His work continues to influence advancements in classification systems, showcasing the importance of innovation in engineering and technology.