Churchville, MD, United States of America

William D Hairston


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: William D Hairston: Innovator in Signal Processing

William D Hairston is a notable inventor based in Churchville, MD (US). He has made significant contributions to the field of signal processing, particularly in improving the quality of EEG signals. His innovative approach has garnered attention in both academic and practical applications.

Latest Patents

William D Hairston holds a patent for a method aimed at enhancing the signal to noise ratio of EEG signals. This method involves applying wavelet packet decomposition to a time slice of the EEG signal. The process begins with setting a default signal to the first wavelet packet and calculating a default peak response. An update signal is then created by combining the default signal with another wavelet node, followed by the calculation of an update peak response. If this update peak response surpasses the default, the default values are updated accordingly. This iterative process continues for all wavelet nodes, ultimately reconstructing a composite waveform from the non-zero nodes.

Career Highlights

William D Hairston is currently employed by the US Government as represented by the Secretary of the Army. His work focuses on advancing technologies that improve signal processing, which is crucial for various applications in military and medical fields. His expertise in this area has positioned him as a valuable asset to his organization.

Collaborations

Throughout his career, William has collaborated with notable colleagues, including David R Siegel and Canh Ly. These partnerships have contributed to the development of innovative solutions in signal processing and have enhanced the impact of his work.

Conclusion

William D Hairston is a distinguished inventor whose work in signal processing has led to advancements in EEG signal quality. His patent reflects a deep understanding of wavelet analysis and its applications. His contributions continue to influence the fields of neuroscience and military technology.

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