Company Filing History:
Years Active: 2019-2025
Title: Chris Yakopcic: Innovator in Modulation and Neuromorphic Processing
Introduction
Chris Yakopcic is a prominent inventor based in Dayton, Ohio, known for his significant contributions to the fields of modulation classification and neuromorphic processing. With a total of 16 patents to his name, Yakopcic has made strides in developing advanced systems that enhance signal processing and machine learning capabilities.
Latest Patents
One of Yakopcic's latest patents is a "Modulation classification and demodulation system with a neural network." This innovative system includes a modulation classifier and a demodulator designed to classify modulations and demodulate received signals that may deviate during propagation due to noise. The modulation classifier utilizes a neural network to identify each type of modulation, ensuring accurate decoding of the received signals.
Another notable patent is focused on "Unsupervised learning of memristor crossbar neuromorphic processing systems." This patent describes an analog neuromorphic circuit that incorporates a first and second memristor crossbar configuration within an autoencoder. The system is designed to compare output voltages to input voltages, generating alerts when discrepancies indicate previously unidentified input data.
Career Highlights
Chris Yakopcic is affiliated with the University of Dayton, where he continues to push the boundaries of innovation in his field. His work has garnered attention for its practical applications in communication systems and artificial intelligence.
Collaborations
Yakopcic collaborates with esteemed colleagues, including Tarek M Taha and Md Raqibul Hasan, contributing to a dynamic research environment that fosters innovation and discovery.
Conclusion
Chris Yakopcic stands out as a leading inventor whose work in modulation classification and neuromorphic processing is shaping the future of technology. His contributions are paving the way for advancements in signal processing and machine learning applications.