Human Reconstruction of Digitized Graphical Signals

Coskun DIZMEN; Errol R. HOFFMANN

Human Reconstruction of Digitized Graphical Signals

Coskun DIZMEN^*
, Errol R. HOFFMANN

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Participants were given sheets printed with signals of sine waves ranging from a single wave to ones having higher frequencies added. The signals were digitized to give data points at a number of sampling rates, the lowest at the Nyquist-Shannon frequency and up three times that frequency. At sampling rates less than the Nyquist-Shannon frequency, a machine is unable to accurately reconstruct a signal. Hence the aim was to determine a person’s ability to reconstruct signals at sampling rates at and higher than the Nyquist-Shannon frequency. Data showed that the RMS error decreased with signal bandwidth and also with sampling rate. At high sampling rates, participants were able to accurately reconstruct the signal, although this was not consistent across participants. At low sampling rates and low bandwidth, there was a tendency to include frequencies in the estimated signal that were not in the actual signal.

Original language	English
Title of host publication	Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018
Editors	S. I. Ao, Oscar Castillo, Craig Douglas, David Dagan Feng, A. M. Korsunsky
Publisher	Newswood Limited
Pages	932-936
Volume	2
ISBN (Print)	9789881404886
Publication status	Published - Mar 2018
Event	26th International MultiConference of Engineers and Computer Scientists (IMECS 2018) - , Hong Kong, China Duration: 14 Mar 2018 → 16 Mar 2018 http://www.iaeng.org/IMECS2018/

Publication series

Name	Lecture Notes in Engineering and Computer Science
ISSN (Print)	2078-0958
ISSN (Electronic)	2078-0966

Conference

Conference	26th International MultiConference of Engineers and Computer Scientists (IMECS 2018)
Place	Hong Kong, China
Period	14/03/18 → 16/03/18
Internet address	http://www.iaeng.org/IMECS2018/

Research Keywords

Signal reconstruction
Nyquist criterion
signal bandwidth
sampling rate

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DIZMEN, Coskun ; HOFFMANN, Errol R. / Human Reconstruction of Digitized Graphical Signals. Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018. editor / S. I. Ao ; Oscar Castillo ; Craig Douglas ; David Dagan Feng ; A. M. Korsunsky. Vol. 2 Newswood Limited, 2018. pp. 932-936 (Lecture Notes in Engineering and Computer Science).

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title = "Human Reconstruction of Digitized Graphical Signals",

abstract = "Participants were given sheets printed with signals of sine waves ranging from a single wave to ones having higher frequencies added. The signals were digitized to give data points at a number of sampling rates, the lowest at the Nyquist-Shannon frequency and up three times that frequency. At sampling rates less than the Nyquist-Shannon frequency, a machine is unable to accurately reconstruct a signal. Hence the aim was to determine a person{\textquoteright}s ability to reconstruct signals at sampling rates at and higher than the Nyquist-Shannon frequency. Data showed that the RMS error decreased with signal bandwidth and also with sampling rate. At high sampling rates, participants were able to accurately reconstruct the signal, although this was not consistent across participants. At low sampling rates and low bandwidth, there was a tendency to include frequencies in the estimated signal that were not in the actual signal.",

keywords = "Signal reconstruction, Nyquist criterion, signal bandwidth, sampling rate",

author = "Coskun DIZMEN and HOFFMANN, \{Errol R.\}",

year = "2018",

month = mar,

language = "English",

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booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018",

note = "26th International MultiConference of Engineers and Computer Scientists (IMECS 2018) ; Conference date: 14-03-2018 Through 16-03-2018",

url = "http://www.iaeng.org/IMECS2018/",

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DIZMEN, C & HOFFMANN, ER 2018, Human Reconstruction of Digitized Graphical Signals. in SI Ao, O Castillo, C Douglas, DD Feng & AM Korsunsky (eds), Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018. vol. 2, Lecture Notes in Engineering and Computer Science, Newswood Limited, pp. 932-936, 26th International MultiConference of Engineers and Computer Scientists (IMECS 2018), Hong Kong, China, 14/03/18.

Human Reconstruction of Digitized Graphical Signals. / DIZMEN, Coskun; HOFFMANN, Errol R.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018. ed. / S. I. Ao; Oscar Castillo; Craig Douglas; David Dagan Feng; A. M. Korsunsky. Vol. 2 Newswood Limited, 2018. p. 932-936 (Lecture Notes in Engineering and Computer Science).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Human Reconstruction of Digitized Graphical Signals

AU - DIZMEN, Coskun

AU - HOFFMANN, Errol R.

PY - 2018/3

Y1 - 2018/3

N2 - Participants were given sheets printed with signals of sine waves ranging from a single wave to ones having higher frequencies added. The signals were digitized to give data points at a number of sampling rates, the lowest at the Nyquist-Shannon frequency and up three times that frequency. At sampling rates less than the Nyquist-Shannon frequency, a machine is unable to accurately reconstruct a signal. Hence the aim was to determine a person’s ability to reconstruct signals at sampling rates at and higher than the Nyquist-Shannon frequency. Data showed that the RMS error decreased with signal bandwidth and also with sampling rate. At high sampling rates, participants were able to accurately reconstruct the signal, although this was not consistent across participants. At low sampling rates and low bandwidth, there was a tendency to include frequencies in the estimated signal that were not in the actual signal.

AB - Participants were given sheets printed with signals of sine waves ranging from a single wave to ones having higher frequencies added. The signals were digitized to give data points at a number of sampling rates, the lowest at the Nyquist-Shannon frequency and up three times that frequency. At sampling rates less than the Nyquist-Shannon frequency, a machine is unable to accurately reconstruct a signal. Hence the aim was to determine a person’s ability to reconstruct signals at sampling rates at and higher than the Nyquist-Shannon frequency. Data showed that the RMS error decreased with signal bandwidth and also with sampling rate. At high sampling rates, participants were able to accurately reconstruct the signal, although this was not consistent across participants. At low sampling rates and low bandwidth, there was a tendency to include frequencies in the estimated signal that were not in the actual signal.

KW - Signal reconstruction

KW - Nyquist criterion

KW - signal bandwidth

KW - sampling rate

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M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9789881404886

VL - 2

T3 - Lecture Notes in Engineering and Computer Science

SP - 932

EP - 936

BT - Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018

A2 - Ao, S. I.

A2 - Castillo, Oscar

A2 - Douglas, Craig

A2 - Feng, David Dagan

A2 - Korsunsky, A. M.

PB - Newswood Limited

T2 - 26th International MultiConference of Engineers and Computer Scientists (IMECS 2018)

Y2 - 14 March 2018 through 16 March 2018

ER -

Human Reconstruction of Digitized Graphical Signals

Abstract

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Conference

Research Keywords

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