This inventor holds 1 USPTO granted patent. Top assignees: Georgia Tech Research Corporation, University System of Maryland. Active years: 2013.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2013
Title: Volkan Cevher and Compressive Sensing for Bearing Estimation
Introduction
Volkan Cevher is an inventor associated with Houston, Texas. His patent work addresses compressive sensing and signal processing methods for estimating the bearings, or directions of arrival, of sparse sources.
Latest Patents
Cevher is associated with 1 patent: “Compressive Sensing System and Method for Bearing Estimation of Sparse Sources in the Angle Domain.” The invention uses randomized projections of sensor data, together with a full waveform recording from a reference sensor, to reconstruct a sparse representation of sources and estimate their number and directions of arrival.
The patent also describes signal-processing techniques for wireless sensor arrays with limited communication bandwidth. In the acoustic bearing-estimation application, source bearings are modeled as a sparse vector in angle space, and functions of low-dimensional microphone-signal projections are used to estimate multiple bearings through an l1-norm minimization problem.
Career Highlights
The supplied career information associates Cevher with Georgia Tech Research Corporation and the University System of Maryland. His patent reflects work at the intersection of compressive sensing, acoustic signal processing, and wireless sensor systems.
Collaborations
The supplied information identifies Ali Cafer Gurbuz and James H. McClellan as Cevher’s coworkers.
Conclusion
Volkan Cevher’s patent applies compressive sensing to bearing estimation, offering methods for reconstructing sparse source directions from limited sensor measurements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile