Denver, CO, United States of America

Hao Nguyen


 

Average Co-Inventor Count = 7.0

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2013-2014

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2 patents (USPTO):Explore Patents

Title: Hao Nguyen: Innovator in Signal Degradation Detection

Introduction

Hao Nguyen is a notable inventor based in Denver, Colorado. He has made significant contributions to the field of signal processing, particularly in predicting signal degradation. With a total of 2 patents to his name, Nguyen's work has implications for improving the quality of programming services.

Latest Patents

Nguyen's latest patents focus on signal degradation detection. These implementations are directed to predicting signal degradation at receivers used to display a programming service. The receivers capture signal strength data that is then transmitted to a processing location, which may be associated with a provider of the programming service. A signal degradation detector at the provider operates to predict whether or not a future unacceptable signal quality will occur within a time interval. The prediction may be based on a test quantity calculated from signals captured at the receiver and based on a figure of merit for the geographic locale in which the receiver is located. A maintenance call may be initiated for those receivers that have such a poor signal quality.

Career Highlights

Hao Nguyen is currently employed at Echostar Technologies LLC, where he continues to innovate in the field of signal processing. His work has been instrumental in enhancing the reliability of signal reception for various programming services.

Collaborations

Nguyen collaborates with talented individuals such as Tianhua Zhang and Moutaz Elkaissi, contributing to a dynamic work environment that fosters innovation.

Conclusion

Hao Nguyen's contributions to signal degradation detection exemplify the importance of innovation in technology. His patents not only enhance the quality of programming services but also pave the way for future advancements in signal processing.

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