Malvern, United Kingdom

Paul Daniel Baxter



Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 25(Granted Patents)


Company Filing History:


Years Active: 2007-2010

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2 patents (USPTO):Explore Patents

Title: Paul Daniel Baxter: Innovator in Signal Processing

Introduction

Paul Daniel Baxter is a notable inventor based in Malvern, GB, recognized for his contributions to the field of signal processing. With a total of two patents to his name, Baxter has developed innovative methods that enhance the independence and decorrelation of signals.

Latest Patents

Baxter's latest patents include a method of blind signal separation and a method of strongly decorrelating signals. The blind signal separation patent describes a process that begins with the production of second-order independence from convolutively mixed signals. This method involves determining delay and rotation parameters to implement at least one elementary paraunitary matrix, transforming the processed signals into output signals that improve independence. The process iterates until significant improvements cease, resulting in unmixed signals. The second patent focuses on strongly decorrelating signals by processing input signals to determine similar parameters. This method also iterates until the measure of strong decorrelation no longer improves, designating the latest output signals as decorrelated in a wide sense.

Career Highlights

Throughout his career, Baxter has worked with prominent organizations, including Qinetiq Limited and the Secretary of State for Business, Innovation & Skills. His work in these institutions has contributed to advancements in technology and innovation in signal processing.

Collaborations

Baxter has collaborated with notable individuals in his field, including John G McWhirter and Malcolm David Macleod. These collaborations have likely enriched his work and contributed to the development of his patents.

Conclusion

Paul Daniel Baxter's innovative approaches to signal processing have led to significant advancements in the field. His patents reflect a deep understanding of complex signal interactions and demonstrate his commitment to improving technology.

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