Company Filing History:
Years Active: 2020-2025
Title: Wilbur Lawrence: Innovator in Adaptive Noise-Canceling Technology
Introduction
Wilbur Lawrence is a notable inventor based in Tempe, AZ (US), recognized for his contributions to adaptive noise-canceling technology. With a total of 3 patents, he has made significant strides in the field of digital signal processing.
Latest Patents
One of his latest patents is titled "Adaptive noise-canceling with dynamic filter selection based on multiple noise sensor signal phase differences." This innovative system generates an anti-noise signal using a filter controlled by a set of coefficients selected from various coefficient sets. The system includes an acoustic output transducer, two microphones for measuring ambient noise, and an analysis subsystem that evaluates the noise measurement signals. The controller selects the appropriate coefficients based on the phase differences between the signals, enhancing the effectiveness of noise cancellation.
Another significant patent is "Methods and apparatus for an adaptive blocking matrix." This invention provides methods for digital signal processing of signals received from sensors. It involves estimating a noise correlation statistic between two input signals and developing an inter-sensor signal model based on this statistic. The model is adjusted according to predefined conditions, ensuring optimal performance in noise management.
Career Highlights
Wilbur Lawrence is currently employed at Cirrus Logic Inc., where he continues to innovate in the field of audio technology. His work has contributed to advancements in noise-canceling systems, making them more efficient and effective.
Collaborations
Some of his notable coworkers include Samuel P Ebenezer and Ying Li, who have collaborated with him on various projects, enhancing the development of adaptive technologies.
Conclusion
Wilbur Lawrence's contributions to adaptive noise-canceling technology demonstrate his commitment to innovation and excellence in the field. His patents reflect a deep understanding of digital signal processing and its applications in improving audio experiences.