Datasets

subject: Matlab

Total is 92 Results
Dataset of the peak height insertion gain (PHIG) method for quantifying acoustic feedback in hearing aids

10.4231/K1WJ-TW90

Joshua M Alexander ORCID logo , Randall Wagner , Stephanie Schmig , Steve Armstrong

09/08/2021

Raw audio recordings of hearing aid output with and without feedback. MATLAB code for a method that quantifies the strength of the feedback signal. Spreadsheet data containing categorical feedback ratings from human listeners.

acoustic communication adverse hearing conditions hearing aids hearing science Matlab sound Speech Language and Hearing Sciences

Raw PPG Signal Measured Using Wearable Sensor-kit in Varying Levels of Activity

10.4231/8VF2-1729

Deena Alabed , Mireille Boutin ORCID logo , Tiberius Wehrly

05/03/2019

Photoplethysmogram (PPG) signals collected from five subjects in three scenarios that vary in the level of activity, measured using Asiawill Pulse Heart Rate sensor implemented in an Arduino-based wearable sensor-kit.

Asiawill Pulse Sensor Electrical and Computer Engineering Health Monitoring Device Matlab Photoplethysmogram PPG

Labeled Raw PPG Signals Measured Using Wearable Sensor-kit

10.4231/1BE9-YY17

Deena Alabed , Mireille Boutin ORCID logo , Tiberius Wehrly

05/03/2019

Photoplethysmogram (PPG) signals collected from nine subjects in a still seated position, measured using Asiawill Pulse Heart Rate sensor implemented in an Arduino-based wearable sensor-kit.

Asiawill Pulse Sensor Electrical and Computer Engineering Health Monitoring Device Matlab Photoplethysmogram PPG

Method for Extracting True Stress and Strain Hardening Coefficient from TEM in situ Compression Testing

10.4231/RDN7-PS52

Haozheng Qu , Janelle Wharry ORCID logo , Kayla Yano , Matthew Swenson , Priyam Patki

08/23/2019

This algorithm package can automatically process transmission electron microscope (TEM) in situ micropillar compression test videos to extract the instantaneous pillar dimensions, then determine the true stress-strain curves and strain hardening...

Algorithms Analysis Tool Matlab Nuclear Engineering Strain Hardening Coefficient Stress/Strain Relationship Transmission Electron Microscopy

A Rainfall-based, Sequential Depression-filling Algorithm and Applications on a Watershed in Northeastern Indiana, USA

10.4231/S2B6-J628

Dennis Buckmaster , Samuel Adam Noel ORCID logo

10/30/2020

Contents include script files for a sequential depression-filling algorithm developed in Matlab as well as elevation datasets used in a manuscript publication.

Agricultural and Biological Engineering Elevation Matlab Watershed

32-digit values of the first 100 recurrence coefficients relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^2 computed by the SOPQ routine sr_boseeinstein(100,2,32)

10.4231/R77H1GGF

Walter Gautschi ORCID logo

04/22/2014

32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^2 computed by the SOPQ routine sr_boseeinstein(100,2,32)

Bose-Einstein distribution Computer Science Equation Table Gaussian quadrature Mathematics Matlab OPQ routine Orthogonal polynomials Walter Gautschi Archives

32-digit values of the first 100 recurrence coefficients relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^3 computed by the SOPQ routine sr_boseeinstein(100,3,32)

10.4231/R73R0QRQ

Walter Gautschi ORCID logo

04/22/2014

32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^3 computed by the routine sr_boseeinstein(100,3,32)

Bose-Einstein distribution Computer Science Equation Table Gaussian quadrature Mathematics Matlab OPQ routine Orthogonal polynomials Walter Gautschi Archives

32-digit values of the first 100 recurrence coefficients using the Bose-Einstein weight function: w(x)=[x/(e^x-1)]^4 computed by the SOPQ routine sr_boseeinstein(100,4,32)

10.4231/R7000013

Walter Gautschi ORCID logo

04/22/2014

32-digit values of the first 100 recurrence coefficients for orthogonal polynomials using the Bose-Einstein weight function: w(x)=[x/(e^x-1)]^4 computed by the SOPQ routine sr_boseeinstein(100,4,32)

Bose-Einstein distribution Computer Science Equation Table Gaussian quadrature Mathematics Matlab OPQ routine Orthogonal polynomials Walter Gautschi Archives

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