Irvine, CA, United States of America

Elias Nemer

USPTO Granted Patents = 9 

 

Average Co-Inventor Count = 3.1

ph-index = 2

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2013-2022

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9 patents (USPTO):Explore Patents

Title: Innovations of Elias Nemer

Introduction

Elias Nemer is a prominent inventor based in Irvine, California, known for his significant contributions to audio codec technology. With a total of nine patents to his name, Nemer has developed innovative systems and methods that enhance audio processing and coding.

Latest Patents

Among his latest patents is a system and method for long-term prediction in audio codecs. This invention focuses on a frequency domain long-term prediction system that estimates and applies an optimum long-term predictor. The system determines parameters of a single-tap predictor using frequency-domain analysis, optimizing based on spectral flatness measures. Additionally, it accounts for the performance of vector quantizers in quantizing various subbands. Other embodiments extend the predictor to a k-th order by convolving the 1-tap predictor with pre-set filters based on minimum energy criteria. Another notable patent involves coding harmonic signals in transform-based audio codecs. This invention includes audio encoders that improve the coding of harmonic signals, utilizing spectral weights for quantization of frequency coefficients.

Career Highlights

Elias Nemer has worked with notable companies such as Broadcom Corporation and DTS, Inc. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge audio technologies.

Collaborations

Throughout his career, Nemer has collaborated with talented individuals, including Jes Thyssen and Wilfrid Paul LeBlanc. These partnerships have fostered innovation and the development of advanced audio solutions.

Conclusion

Elias Nemer's work in audio codec technology showcases his inventive spirit and dedication to improving audio processing. His patents reflect a deep understanding of the complexities involved in audio coding, making him a significant figure in the field.

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