Company Filing History:
1 out of 269 
5 out of 832,966 Years Active: 1996-2013
Title: Innovations of William Martin Ribble
Introduction
William Martin Ribble is a notable inventor based in San Jose, CA (US). He holds a total of 6 patents that showcase his contributions to the field of communication technology. His work primarily focuses on addressing the challenges posed by wind noise in communication systems.
Latest Patents
Among his latest innovations is the "Wind Noise Classifier." This special-purpose machine measures and modulates communication signals that are parsed into frames. Frames of signals that are modulated and measured to have certain qualities are identified as wind noise. Consequently, these frames are cancelled from further use within a communication system. Another significant patent is the "Method for Wind Noise Reduction." In this invention, a noisy signal is captured by a microphone, digitized by an Analog to Digital Converter, and analyzed by a processor for wind noise reduction. Traditional noise reduction methods often assume that the interfering noise is stationary or slowly varying compared to speech. However, this assumption does not hold true for wind noise, which is highly non-stationary. Therefore, Ribble's method involves reliably detecting the presence of wind and applying a novel approach to eliminate its effects.
Career Highlights
William Martin Ribble has worked with prominent organizations, including Lockheed Missiles & Space Company, Inc. His experience in these companies has significantly contributed to his expertise in developing innovative solutions for communication challenges.
Collaborations
Ribble has collaborated with notable individuals in his field, including Alon Konchitsky and Alberto D. Bernstein. Their joint efforts have likely enhanced the development and refinement of his inventions.
Conclusion
William Martin Ribble's innovative work in wind noise reduction has made a significant impact on communication technology. His patents reflect a deep understanding of the complexities involved in noise management, particularly in non-stationary environments.