1887
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
oa
Detection of multicomponent signals: Effect of difference in level between components
Rent:
Rent this article for
Access full text Article
/content/asa/journal/jasa/130/5/10.1121/1.3637364
1.
1. Bacon, S. P. , Grimault, N. , and Lee J. (2002). “Spectral integration in bands of modulated or unmodulated noise,” J. Acoust. Soc. Am. 112(2), 219226.
http://dx.doi.org/10.1121/1.1482072
2.
2. Buus, S. , Schorer, E. , Florentine, M. , and Zwicker E. (1986). “Decision rules in detection of simple and complex tones,” J. Acoust. Soc. Am. 80(6), 16461657.
http://dx.doi.org/10.1121/1.394329
3.
3. Buus, E. , and Grose, J. H. (2009). “Spectral integration under conditions of comodulated masking release,” J. Acoust. Soc. Am. 125(3), 16121621.
http://dx.doi.org/10.1121/1.3075579
4.
4. Egan, J. P. , Lindner, W. A. , and McFadden, D. (1969). “Masking-level differences and the form of the psychometric function,” Percept. Psychophys. 6(4), 209215.
http://dx.doi.org/10.3758/BF03207019
5.
5. Gässler, G. (1954). “Über die Hörschwelle für Schallereignisse mit verschieden breitem Frequenzspectrum (On the threshold of sounds with different frequency bandwidths),”Acust. 4(4), 408414.
6.
6. Green, D. M. (1958). “Detection of multicomponent signals in noise,” J. Acoust. Soc. Am. 30(10), 904911.
http://dx.doi.org/10.1121/1.1909400
7.
7. Green, D.M. , and Swets, J.A. (1974). Signal Detection Theory and Psychophysics (Wiley, New York).
8.
8. Grose, J. H. , and Hall, J. W. III (1997). “Multiband detection of energy fluctuations,” J. Acoust. Soc. Am. 102(2), 10881096.
http://dx.doi.org/10.1121/1.419613
9.
9. Langhans, A. , and Kohlrausch, A. (1992). “Spectral integration of broadband signals in diotic and dichotic masking experiments,” J. Audio Eng. Soc. 91(1), 317326.
10.
10. Marill, T. (1956). “Detection theory and psychophysics,” Tech. Rep. No. 319, Research Laboratory of Electronics, MIT, Cambridge, MA.
11.
11. Spiegel, M. F. (1979). “The range of spectral integration,” J. Acoust. Soc. Am. 66(5), 13561363.
http://dx.doi.org/10.1121/1.383530
12.
12. Van den brink, W. A. C. , and Houtgast, T. (1990). “Efficient across-frequency integration in short- signal detection,” J. Acoust. Soc. Am. 87(1), 284291.
http://dx.doi.org/10.1121/1.399295
http://aip.metastore.ingenta.com/content/asa/journal/jasa/130/5/10.1121/1.3637364
Loading
View: Figures

Figures

Image of FIG. 1.

Click to view

FIG. 1.

(a) The extent of improvement in detection averaged across subjects as a function of the signal conditions is represented. In condition 1 (circles) the signal was equally detectable (0 dB) and then, the 640 Hz component was increased by 5, 10, 15, 20, 25 dB. The solid line illustrates the predicted values from the statistical summation model for condition 1. In condition 2 (squares), the signal was equally detectable (0 dB) and then, the 320, 640, and 1280 Hz components were increased by 5, 10, 15 dB. The squares were slightly moved to the right to make it easier to observe. The standard deviations are represented by the error bars. (b) The predicted improvements in detection from the statistical summation model as a function of the measured improvements in detection is represented for conditions 1 and 2. R2 is shown on the upper right of the graph.

Loading

Article metrics loading...

/content/asa/journal/jasa/130/5/10.1121/1.3637364
2011-10-06
2014-04-19

Abstract

The detection of multicomponent signals for which the components are not equidetectable is precisely investigated as a function of the level difference ΔL i/j between components. The detection thresholds are determined for a seven-tone complex signal with random starting phases masked by white noise. Level differences between the components are examined. A model for non-equidetectable conditions based on the statistical summation model is described. The improvement in detection is calculated from the level difference between components that is related to the thresholds for single components. The model predictions are in accordance with the experimental results.

Loading

Full text loading...

/deliver/fulltext/asa/journal/jasa/130/5/1.3637364.html;jsessionid=bwt23x40dole.x-aip-live-06?itemId=/content/asa/journal/jasa/130/5/10.1121/1.3637364&mimeType=html&fmt=ahah&containerItemId=content/asa/journal/jasa
true
true
This is a required field
Please enter a valid email address
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Detection of multicomponent signals: Effect of difference in level between components
http://aip.metastore.ingenta.com/content/asa/journal/jasa/130/5/10.1121/1.3637364
10.1121/1.3637364
SEARCH_EXPAND_ITEM