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Ripple density resolution dependence on ripple width
by
Milekhina, Olga N.
, Tomozova, Marina S.
, Nechaev, Dmitry I.
, Supin, Alexander Ya
in
Acoustics research
/ Biology and Life Sciences
/ Computer and Information Sciences
/ Density
/ Engineering and Technology
/ Frequency estimation
/ Hearing levels
/ Medicine and Health Sciences
/ Physical Sciences
/ Reference signals
/ Research and Analysis Methods
/ Ripples
/ Sound
/ Sound-waves
/ Spectrum allocation
2022
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Ripple density resolution dependence on ripple width
by
Milekhina, Olga N.
, Tomozova, Marina S.
, Nechaev, Dmitry I.
, Supin, Alexander Ya
in
Acoustics research
/ Biology and Life Sciences
/ Computer and Information Sciences
/ Density
/ Engineering and Technology
/ Frequency estimation
/ Hearing levels
/ Medicine and Health Sciences
/ Physical Sciences
/ Reference signals
/ Research and Analysis Methods
/ Ripples
/ Sound
/ Sound-waves
/ Spectrum allocation
2022
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Do you wish to request the book?
Ripple density resolution dependence on ripple width
by
Milekhina, Olga N.
, Tomozova, Marina S.
, Nechaev, Dmitry I.
, Supin, Alexander Ya
in
Acoustics research
/ Biology and Life Sciences
/ Computer and Information Sciences
/ Density
/ Engineering and Technology
/ Frequency estimation
/ Hearing levels
/ Medicine and Health Sciences
/ Physical Sciences
/ Reference signals
/ Research and Analysis Methods
/ Ripples
/ Sound
/ Sound-waves
/ Spectrum allocation
2022
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Journal Article
Ripple density resolution dependence on ripple width
2022
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Overview
The goal of the study was to investigate how variations in ripple width influence the ripple density resolution. The influence of the ripple width was investigated with two experimental paradigms: (i) discrimination between a rippled test signal and a rippled reference signal with opposite ripple phases and (ii) discrimination between a rippled test signal and a flat reference signal. The ripple density resolution depended on the ripple width: the narrower the width, the higher the resolution. For distinguishing between two rippled signals, the resolution varied from 15.1 ripples/oct at a ripple width of 9% of the ripple frequency spacing to 8.1 ripples/oct at 64%. For distinguishing between a rippled test signal and a non-rippled reference signal, the resolution varied from 85 ripples/oct at a ripple width of 9% to 9.3 ripples/oct at a ripple width of 64%. For distinguishing between two rippled signals, the result can be explained by the increased ripple depth in the excitation pattern due to the widening of the inter-ripple gaps. For distinguishing between a rippled test signal and a non-rippled reference signal, the result can be explained by the increased ratio between the autocorrelated and uncorrelated components of the input signal.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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