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Colin M Doolittle, 424265 NE Halsey St APT 310, Portland, OR 97213

Known as:
Colin Michael Doolittle
Related to:
David Keith Fox 43 Robin L Cox 40

Colin Doolittle Phones & Addresses

4265 NE Halsey St APT 310, Portland, OR 97213   

Tigard, OR   

Elgin, AZ   

Colorado Springs, CO   

Green Valley, AZ   

Boulder, CO   

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Colin M Doolittle

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Work

Company: Yorultrasound Nov 2019 Position: Scientific software developer

Education

Degree: Masters School / High School: Portland State University 2015 to 2017

Skills

Fpga • Electronics • Verilog • Circuit Design • Matlab • Python • Signal Processing • C++ • Microcontrollers • Circuit Analysis • Digital Electronics • Cadence • Smt • Fourier Analysis • Digital Signal Processing • Computer Vision • Pcb Design • Oscilloscope • Kalman Filtering • Adaptive Filtering • C

Ranks

Certificate: C++ For C Programmers, Part A

Industries

Semiconductors
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Mentions for Colin M Doolittle

Colin Doolittle resumes & CV records

Resumes

Colin Doolittle Photo 21

Scientific Software Developer

Location:
Portland, OR
Industry:
Semiconductors
Work:
Yorultrasound
Scientific Software Developer Skyworks Solutions, Inc. Oct 2017 - Oct 2019
Dsp Firmware Engineer Tektronix Jan 1, 2016 - Oct 2017
Entry-Level Software and Firmware Engineer Voxtel Inc. Jun 2015 - Sep 2015
Dsp Intern Lattice Semiconductor Jul 2013 - Jan 2015
Reliability Engineer Intel Corporation Mar 2012 - Sep 2012
Validation Intern
Education:
Portland State University 2015 - 2017
Masters Portland State University 2011 - 2013
Bachelors, Bachelor of Science, Electronics Engineering University of Colorado Boulder 2001 - 2006
Bachelors, Bachelor of Arts, Philosophy
Skills:
Fpga, Electronics, Verilog, Circuit Design, Matlab, Python, Signal Processing, C++, Microcontrollers, Circuit Analysis, Digital Electronics, Cadence, Smt, Fourier Analysis, Digital Signal Processing, Computer Vision, Pcb Design, Oscilloscope, Kalman Filtering, Adaptive Filtering, C
Certifications:
C++ For C Programmers, Part A
C++ For C Programmers, Part B
Algorithmic Toolbox
Data Structures
Algorithms on Graphs
Algorithms on Strings

Publications & IP owners

Us Patents

Headphone Off-Ear Detection

US Patent:
2020001, Jan 9, 2020
Filed:
Jul 8, 2019
Appl. No.:
16/505554
Inventors:
- Beaverton OR, US
Colin Michael Doolittle - Portland OR, US
Amit Kumar - Portland OR, US
International Classification:
H04R 1/10
H04R 3/04
G10L 25/21
H04R 29/00
H04R 1/40
H04R 3/00
Abstract:
Disclosed is a signal processor for headphone off-ear detection. The signal processor includes an audio output to transmit an audio signal toward a headphone speaker in a headphone cup. The signal processor also includes a feedback (FB) microphone input to receive a FB signal from a FB microphone in the headphone cup. The signal processor also includes an off-ear detection (OED) signal processor to determine an audio frequency response of the FB signal over an OED frame as a received frequency response. The OED processor also determines an audio frequency response of the audio signal times an off-ear transfer function between the headphone speaker and the FB microphone as an ideal off-ear response. A difference metric is generated comparing the received frequency response to the ideal off-ear frequency response. The difference metric is employed to detect when the headphone cup is disengaged from an ear.

Voice Isolation System

US Patent:
2019021, Jul 11, 2019
Filed:
Jan 8, 2019
Appl. No.:
16/242424
Inventors:
- Beaverton OR, US
Michael Wurtz - Lake Oswego OR, US
Amit Kumar - Portland OR, US
Colin Doolittle - Portland OR, US
International Classification:
G10L 21/0216
G10L 15/20
G10L 25/78
Abstract:
The disclosure includes a voice isolation system comprising an acoustic echo-cancelation subsystem configured to receive a plurality of input signals, subtract an interference component from the input signals, and provide a plurality of output signals. The system also includes an adaptive beamformer subsystem configured to receive the plurality of output signals from the acoustic echo-cancelation subsystem and compute a signal-to-noise ratio enhanced signal based on the received output signals. The system also includes a residual noise suppressor subsystem configured to attenuate at least one portion of the SNR enhanced signal received from the adaptive beamformer subsystem based on the at least one portion having an SNR below a predetermined SNR threshold. The system also includes an automatic gain control subsystem configured to process a signal outputted from the residual noise suppressor subsystem and transmit a resulting signal as an output signal.

Possible Relatives

Cynthia L Doolittle  David A Doolittle  Dean M Doolittle  Deborah L Doolittle  Daniel A Doolittle  Aaron B Doolittle  Daren A Doolittle  Colin D Johnson  Colin D Standish  Colin A Johnston 

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