Bozeman, MT, United States of America

Philip Warshowsky

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Aurora Operations, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Philip Warshowsky. Retrieved from https://idiyas.com/inventor/philip-warshowsky

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Philip Warshowsky and Lidar Signal Processing

Introduction

Philip Warshowsky is an inventor associated with Bozeman, Montana, and Aurora Operations, Inc. His patent work concerns lidar sensing and signal processing, with an approach designed to determine the range of a returned optical signal.

Latest Patents

Warshowsky is credited with 1 patent: “Light Detection and Ranging (Lidar) Sensor System Using Fast Hadamard Transform (FHT).” The invention describes a system that transmits an optical signal into an environment and receives the returned signal. Processors generate an electrical signal from the return, determine its Doppler frequency shift, and adjust the electrical signal accordingly. They then divide the adjusted signal into multiple signals and process them in parallel to determine the range of the return.

Career Highlights

The patent reflects work on lidar systems that combine Doppler-shift adjustment with parallel signal processing. This method is intended to support range determination from returned optical signals.

Collaborations

Warshowsky is associated with Aurora Operations, Inc. His listed coworkers include Matthew Fetterman and Mohsen Nadertehrani.

Conclusion

Philip Warshowsky’s patent focuses on using Fast Hadamard Transform-based parallel processing to determine range in a lidar sensor system.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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