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Anthony A Teolis, 608101 Hollygate Dr, Glenn Dale, MD 20769

Anthony Teolis Phones & Addresses

8101 Hollygate Dr, Glenn Dale, MD 20769    301-3523951   

Oakland, MD   

Greenbelt, MD   

Bowie, MD   

Kensington, MD   

Upper Marlboro, MD   

Swanton, MD   

New Carrollton, MD   

8101 Hollygate Dr, Glenn Dale, MD 20769    301-9802223   

Work

Position: Professional/Technical

Education

Degree: High school graduate or higher

Emails

Mentions for Anthony A Teolis

Career records & work history

License Records

Anthony Teolis

Address:
8101 Hollygate Dr, Glenn Dale, MD 20769
Licenses:
License #: A2990732
Category: Airmen

Anthony Teolis resumes & CV records

Resumes

Anthony Teolis Photo 9

President And Chief Technology Officer

Location:
8101 Hollygate Dr, Glenn Dale, MD 20769
Industry:
Research
Work:
Teolis Consulting since Jan 2004
President/CTO
GA Solutions, LLC Aug 2010 - Mar 2011
President
AIMS, Inc. May 1993 - Jan 2004
VP of Defense Systems
University of Maryland Jan 1988 - Jan 1993
Graduate Research Assistant
Naval Research Laboratory Jan 1988 - Jan 1991
Electronics Engineer
Education:
University of Maryland College Park 1987 - 1993
Ph.D, Electrical Engineering
University of Maryland, College
M.S, Electrical Engineering
University of Rhode Island
B.S, Electrical Engineering
Skills:
Signal Processing, Matlab, Algorithms, Digital Signal Processing, Electronics, C++, Radar, Systems Engineering, Rf, Engineering, Start Ups, C, Programming, Simulations
Anthony Teolis Photo 10

Anthony Teolis

Publications & IP owners

Us Patents

Nonlinear Method And Apparatus For Coding And Decoding Acoustic Signals With Data Compression And Noise Suppression Using Cochlear Filters, Wavelet Analysis, And Irregular Sampling Reconstruction

US Patent:
5388182, Feb 7, 1995
Filed:
Feb 16, 1993
Appl. No.:
8/017192
Inventors:
John J. Benedetto - Hyattsville MD
Anthony Teolis - Upper Marlboro MD
Assignee:
Prometheus, Inc. - Sharon MA
International Classification:
G10L 702
US Classification:
395 214
Abstract:
WAM. TM. is a new method of digitally coding and decoding acoustic signals for data compression and noise reduction. The method comprises constructing a filter bank using wavelet transforms of a basic filter impulse function to represent the response of the mammalian cochlea. Data compression is obtained by truncation of a discrete representation. Reconstruction relies on the theory of frames and produces a reconstruction method and apparatus based on irregular sampling methods which produces good quality results in a very few stages. Actual reconstructions show very good data compression and noise reduction performance.

Isbn (Books And Publications)

Computational Signal Processing With Wavelets

Author:
Anthony Teolis
ISBN #:
0817639098

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