Company Filing History:
Years Active: 2002-2009
Title: Scott Rickard: Innovator in Signal Processing
Introduction
Scott Rickard is a prominent inventor based in Princeton, NJ (US), known for his contributions to the field of signal processing. With a total of 5 patents, he has made significant advancements in methods for separating mixed signals and eliminating unwanted noise.
Latest Patents
Rickard's latest patents include a "System and method for non-square blind source separation under coherent noise by beamforming and time-frequency masking." This innovative system estimates the mixing parameters of a mixed source signal and filters these parameters to reduce output noise, effectively separating the mixed source signal from the noise. The filtering is achieved through a linear filter that performs beamforming to minimize noise and another linear filter that addresses the source separation problem by selecting time-frequency points where only one source is active, based on a W-disjoint orthogonality assumption. Another notable patent is the "Method for eliminating an unwanted signal from a mixture via time-frequency masking." This method aims to eliminate or reduce the effects of an unwanted signal, such as background music or interference, from a mixture of a desired signal and the unwanted signal, thereby providing a clearer estimate of the desired signal.
Career Highlights
Scott Rickard is currently employed at Siemens Corporate Research, Inc., where he continues to develop innovative solutions in signal processing. His work has garnered attention for its practical applications in various industries.
Collaborations
Rickard has collaborated with notable colleagues, including Justinian Rosca and Radu Victor Balan, contributing to a dynamic research environment that fosters innovation.
Conclusion
Scott Rickard's contributions to signal processing through his patents and work at Siemens Corporate Research, Inc. highlight his role as a key innovator in the field. His advancements in blind source separation and noise elimination techniques continue to influence the industry.
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