Company Filing History:
Years Active: 2013
Title: Stephen R Schnelle: Innovator in Compressive Parameter Estimation
Introduction
Stephen R Schnelle is a notable inventor based in Houston, Texas. He has made significant contributions to the field of signal processing, particularly in the area of compressive parameter estimation. His innovative approach has led to the development of a patented method that enhances the tracking of locally oscillating signals.
Latest Patents
Stephen R Schnelle holds a patent titled "Method and apparatus for compressive parameter estimation and tracking." This patent describes a method for estimating and tracking locally oscillating signals. The method involves taking measurements of an input signal that approximately preserve the inner products among signals in a class of signals of interest. It computes an estimate of parameters of the input signal from its inner products with other signals. The measurement process can be linear or non-linear, and it may involve compressive sensing techniques. This includes projections using various types of matrices, such as random, pseudorandom, sparse, or code matrices. The tracking of the signal of interest may utilize a phase-locked loop, operating on compressively sampled data or frequency-modulated data.
Career Highlights
Stephen R Schnelle is affiliated with William Marsh Rice University, where he continues to engage in research and development in his field. His work has garnered attention for its practical applications in signal processing and estimation techniques.
Collaborations
Stephen has collaborated with notable colleagues, including Richard G Baraniuk and Petros T Boufounos. Their combined expertise has contributed to advancements in the methodologies related to compressive sensing and signal tracking.
Conclusion
Stephen R Schnelle's innovative work in compressive parameter estimation and tracking showcases his dedication to advancing technology in signal processing. His contributions are significant in enhancing the understanding and application of locally oscillating signals.