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Lonnie S Jaynes4190 Careywood Dr, Melbourne, FL 32934

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Lonnie Jaynes Phones & Addresses

4190 Careywood Dr, Melbourne, FL 32934 (321) 752-6313

4190 Careywood Dr, Melbourne, FL 32934 (321) 501-5024

Work

Company: Siemens energy, incorporated (randstad engineering contractor) - Orlando, FL 2011 Position: Advanced sensors and instrumentation engineer

Education

School / High School: University of Missouri- Rolla, MO Specialities: M.S. in Electrical Engineering

Mentions for Lonnie S Jaynes

Lonnie Jaynes resumes & CV records

Resumes

Lonnie Jaynes Photo 14

Lonnie Jaynes

Location:
Melbourne, FL
Industry:
Research
Work:
Rockwell Collins Jul 2008 - Feb 2009
Systems Engineer - Communications, Navigation, & Surveillance Systems Harris Corporation Jan 1999 - Jul 2008
Electrical Engineer - R&D, Signal Processing, Communications Systems, M&S, and Analysis Medicomp Inc. Oct 1989 - Jan 1999
R&D Engineer - Medical Devices and Diagnostic Monitoring Systems
Education:
University of Missouri-Rolla
Skills:
Systems Engineering, Electrical Engineering, R&D, System Architecture and Design, Algorithms, Adaptive Systems, Systems Analysis, Signal Analysis, Signal Processing, Modeling and Simulation, Software Development, Sensors, Instrumentation, Numerical Methods, Detection and Estimation Systems, Matlab and Simulink, Medical Instrumentation, Medical Devices, Electrocardiography, Avionics/Aerospace, Energy, Communications Systems
Lonnie Jaynes Photo 15

Lonnie Jaynes - Melbourne, FL

Work:
Siemens Energy, Incorporated (Randstad Engineering contractor) - Orlando, FL 2011 to 2013
Advanced Sensors and Instrumentation Engineer Rockwell Collins, Incorporated - Melbourne, FL 2008 to 2009
Sr. Systems Engineer - Communications, Navigation, and Surveillance Engineering Harris Corporation - Melbourne, FL 1999 to 2008
Sr. Electrical Engineer - Communications Systems and Signal Processing Engineering Medicomp, Incorporated - Melbourne, FL 1989 to 1999
Research and Development Engineer - Patient Monitoring Systems
Education:
University of Missouri - Rolla, MO
M.S. in Electrical Engineering University of Missouri - Rolla, MO
B.S. in Electrical Engineering
Lonnie Jaynes Photo 16

Lonnie Jaynes

Publications & IP owners

Us Patents

Updating Adaptive Equalizer Coefficients Using Known Or Predictable Bit Patterns Distributed Among Unknown Data

US Patent:
7194025, Mar 20, 2007
Filed:
Jun 16, 2003
Appl. No.:
10/462559
Inventors:
Jerry Busby Wood - Melbourne FL, US
Lonnie Scott Jaynes - Melbourne FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
H03H 7/30
US Classification:
375231
Abstract:
An embedded pattern-based adaptive equalizer coefficient updating mechanism updates weighting coefficients of an adaptive equalizer in accordance with an error or differential signal obtained by processing the distorted version of a known signal pattern, that is repetitively distributed among information signals contained within the electrical communication signal output from the equalizer, with a copy of the known signal pattern. No dedicated ‘training sequence’ communication with the transmitter is required, so that the coefficient update mechanism does not impact the operation or bandwidth availability of the channel.

Pneumatic-Based Communications System

US Patent:
2002015, Oct 24, 2002
Filed:
Mar 25, 2002
Appl. No.:
10/105645
Inventors:
Fred Levy - Malabar FL, US
Lonnie Jaynes - Melbourne FL, US
International Classification:
B60T013/00
US Classification:
303/006100
Abstract:
An apparatus for communicating information over a pressurized fluid-carrying pipe connecting a plurality of serial nodes. A sounder node (i.e., transmitter) creates variable pressure patterns within the fluid-carrying pipe, which pressure patterns are identified and detected by other nodes. The patterns convey information or solicit responses from the receiving nodes. The receiving nodes reply to the pressure fluctuations by inducing reply pressure fluctuations in the fluid-carrying pipe or by communicating with the sounder node via a separate radio frequency communications system. The apparatus and method can be used as an information-carrying communications medium or a train linking methodology for a railroad train.

Post-Detection, Fiber Optic Dispersion Compensation Using Adjustable Inverse Distortion Operator Employing Trained Or Decision-Based Parameter Adaptation (Estimation)

US Patent:
2005004, Mar 3, 2005
Filed:
Sep 2, 2003
Appl. No.:
10/653316
Inventors:
Lonnie Jaynes - Melbourne FL, US
Jerry Wood - Melbourne FL, US
Assignee:
HARRIS CORPORATION - MELBOURNE FL
International Classification:
H04B010/08
US Classification:
398029000
Abstract:
An adaptive system composed of an adjustable inverse distortion operator or structure compensates for dispersive distortion in a fiber optic channel. Parameters of the inverse distortion operator are automatically estimated and updated in accordance with minimizing some cost function of an error signal obtained by differentially combining the output of the inverse distortion operator with downstream decision values or with an undistorted training signal. Undistorted training signals may be derived from bit patterns (e.g., preamble) expressly transmitted for the purpose of adjusting the compensation system or from other non-training patterns known to be embedded in the received signal from the transmitter.

Post-Detection, Fiber Optic Dispersion Compensation Using Adjustable Infinite Impulse Response Filter Employing Trained Or Decision-Directed Adaptation

US Patent:
2005004, Mar 3, 2005
Filed:
Sep 2, 2003
Appl. No.:
10/653317
Inventors:
Lonnie Jaynes - Melbourne FL, US
Jerry Wood - Melbourne FL, US
Assignee:
HARRIS CORPORATION - MELBOURNE FL
International Classification:
H04B010/08
US Classification:
398208000
Abstract:
An adaptive infinite impulse response (IIR) filter compensates for dispersive distortion in a fiber optic channel. The weighting coefficients of the IIR filter are updated in accordance with an error signal obtained by differentially combining the output of the IIR filter with downstream decision values or with an undistorted training signal. Undistorted training signals may be derived from training patterns (e.g., preamble) expressly transmitted for the purpose by the upstream transmitter, or from non-training, but known or predictable patterns transmitted by the upstream transmitter.

Possible Relatives

Dell N Jaynes  Donna M Jaynes  Dwight E Jaynes  Elizabeth M Jaynes  Frank A Jaynes  George A Jaynes  Heather J Jaynes  Lonnie D Stancil  Lonnie S Whitfield  Lonnie E Mcintyre 

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