Ripple density resolution in the presence of an additional rippled pattern

2021 ◽  
Vol 149 (4) ◽  
pp. A76-A76
Author(s):  
Marina Tomozova ◽  
Alexander Supin ◽  
Dmitry I. Nechaev ◽  
Olga N. Milekhina
Keyword(s):  
Density Resolution

scholarly journals High Ripple-Density Resolution for Discriminating Between Rippled and Nonrippled Signals: Effect of Temporal Processing or Combination Products?

2021 ◽  
Vol 25 ◽  
pp. 233121652110101
Author(s):  
Dmitry I. Nechaev ◽  
Olga N. Milekhina ◽  
Marina S. Tomozova ◽  
Alexander Y. Supin
Keyword(s):  
Low Frequency ◽  
Noise Signal ◽  
Density Variation ◽  
Choice Procedure ◽  
Masker Level ◽  
Reference Signals ◽  
Forced Choice Procedure ◽  
The Mean ◽  
Density Resolution

The goal of the study was to investigate the role of combination products in the higher ripple-density resolution estimates obtained by discrimination between a spectrally rippled and a nonrippled noise signal than that obtained by discrimination between two rippled signals. To attain this goal, a noise band was used to mask the frequency band of expected low-frequency combination products. A three-alternative forced-choice procedure with adaptive ripple-density variation was used. The mean background (unmasked) ripple-density resolution was 9.8 ripples/oct for rippled reference signals and 21.8 ripples/oct for nonrippled reference signals. Low-frequency maskers reduced the ripple-density resolution. For masker levels from −10 to 10 dB re. signal, the ripple-density resolution for nonrippled reference signals was approximately twice as high as that for rippled reference signals. At a masker level as high as 20 dB re. signal, the ripple-density resolution decreased in both discrimination tasks. This result leads to the conclusion that low-frequency combination products are not responsible for the task-dependent difference in ripple-density resolution estimates.

Correcting electron-density resolution bias in reciprocal space

2009 ◽  
Vol 65 (3) ◽  
pp. 183-189 ◽  
Author(s):  
Angela Altomare ◽  
Corrado Cuocci ◽  
Carmelo Giacovazzo ◽  
Sabino Maggi ◽  
Anna Moliterni ◽  
...  
Keyword(s):  
Electron Density ◽  
Reciprocal Space ◽  
Density Resolution

scholarly journals Representing Extremes in a Daily Gridded Precipitation Analysis over the United States: Impacts of Station Density, Resolution, and Gridding Methods

2014 ◽  
Vol 27 (14) ◽  
pp. 5201-5218 ◽  
Author(s):  
Melissa Gervais ◽  
L. Bruno Tremblay ◽  
John R. Gyakum ◽  
Eyad Atallah
Keyword(s):  
United States ◽  
Extreme Precipitation ◽  
The United States ◽  
Low Resolution ◽  
Spatial Homogeneity ◽  
Precipitation Analysis ◽  
Precipitation Station ◽  
Density Resolution ◽  
Analysis Point ◽  
Station Density

Abstract This study focuses on errors in extreme precipitation in gridded station products incurred during the upscaling of station measurements to a grid, referred to as representativeness errors. Gridded precipitation station analyses are valuable observational data sources with a wide variety of applications, including model validation. The representativeness errors associated with two gridding methods are presented, consistent with either a point or areal average interpretation of model output, and it is shown that they differ significantly (up to 30%). An experiment is conducted to determine the errors associated with station density, through repeated gridding of station data within the United States using subsequently fewer stations. Two distinct error responses to reduced station density are found, which are attributed to differences in the spatial homogeneity of precipitation distributions. The error responses characterize the eastern and western United States, which are respectively more and less homogeneous. As the station density decreases, the influence of stations farther from the analysis point increases, and therefore, if the distributions are inhomogeneous in space, the analysis point is influenced by stations with very different precipitation distributions. Finally, ranges of potential percent representativeness errors of the median and extreme precipitation across the United States are created for high-resolution (0.25°) and low-resolution areal averaged (0.9° lat × 1.25° lon) precipitation fields. For example, the range of the representativeness errors is estimated, for annual extreme precipitation, to be from +16% to −12% in the low-resolution data, when station density is 5 stations per 0.9° lat × 1.25° lon grid box.

A real time TV to computer image input system using run coding.

1976 ◽  
Vol 24 (1) ◽  
pp. 112-121 ◽  
Author(s):  
A S Farrow ◽  
J H Tucker
Keyword(s):  
Real Time ◽  
Spatial Resolution ◽  
Computer Analysis ◽  
Computer Image ◽  
Substantial Reduction ◽  
Cervical Smear ◽  
Moderate Size ◽  
Input System ◽  
Scan Domain ◽  
Density Resolution

Run coding applied to the digitized video signal from a TV scan of cell preparations can effect a substantial reduction in the total amount of data, sufficient to permit a moderate size of store to be loaded within one frame time with a representation of the field adequate for computer analysis. This paper describes the design of a run coding interface between a TV scanner and a computer store which also allows control of scan domain, spatial resolution and density resolution. Results are presented showing its efficiency when dealing with cervical smear preparations.

Computerized Axial Tomography: Estimation of Spatial and Density Resolution Capability

1976 ◽  
Vol 49 (583) ◽  
pp. 604-611 ◽  
Author(s):  
A. K. Ommaya ◽  
G. Murray ◽  
J. Ambrose ◽  
A. Richardson ◽  
G. Hounsfield
Keyword(s):  
Axial Tomography ◽  
Resolution Capability ◽  
Computerized Axial Tomography ◽  
Density Resolution

The CT's sample volume as an approximate, instrumental measure for density resolution in densitometry of the lung

1997 ◽  
Vol 24 (10) ◽  
pp. 1615-1620 ◽  
Author(s):  
Gerrit J. Kemerink ◽  
Han H. Kruize ◽  
Rob J. S. Lamers
Keyword(s):  
Sample Volume ◽  
Density Resolution
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