PHY Layer Issues - Spatial Processing

2005 ◽  
pp. 67-99
Keyword(s):  
Spatial Processing ◽  
Phy Layer

Encoding oriented depth video spatial processing algorithm

2014 ◽  
Author(s):  
Hao Zhou ◽  
Fen Chen ◽  
Zongju Peng ◽  
Gangyi Jiang ◽  
Mei Yu ◽  
...  
Keyword(s):  
Spatial Processing ◽  
Processing Algorithm ◽  
Depth Video

Spatial Processing for Improved Quality Recognition of Optically Recorded Voice Signals and Illumination Varied Scenery

2011 ◽  
Vol 1 (2) ◽  
pp. 91-100
Author(s):  
Yevgeny Beiderman ◽  
Yaniv Azani ◽  
Yoni Cohen ◽  
Chen Nisankoren ◽  
Mina Teicher ◽  
...  
Keyword(s):  
Spatial Processing

scholarly journals Comparison of spatial processing techniques for sonar array data

1988 ◽  
Vol 84 (S1) ◽  
pp. S16-S16
Author(s):  
David V. Wyllie ◽  
Brian G. Ferguson ◽  
Garry C. Speechley
Keyword(s):  
Spatial Processing ◽  
Array Data ◽  
Processing Techniques

Serum Micronutrient Status, Sleep Quality and Neurobehavioral function among Early Adolescents

2021 ◽  
pp. 1-27
Author(s):  
Xiaopeng Ji ◽  
Charlene W. Compher ◽  
Sharon Y. Irving ◽  
Jinyoung Kim ◽  
David F. Dinges ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Early Adolescents ◽  
Serum Zinc ◽  
Spatial Processing ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Attention Task ◽  
Neurobehavioral Function ◽  
Iron And Zinc ◽  
Nonverbal Reasoning

Abstract Objective: To examine associations between serum micronutrients and neurobehavioral function and the mediating role of sleep quality in early adolescents. Design: In this cross-sectional study, peripheral blood samples were analyzed for iron and zinc levels. The Pittsburgh Sleep Quality Index and Penn Computerized Neurocognitive Battery were used to assess sleep quality and neurobehavioral function, respectively. The generalized linear regressions (bootstrap) were performed to estimate the associations. Setting: Jintan, China Participants: 226 adolescents (106 females) from the Jintan Child Cohort study. Results: Adolescents with low iron (< 75 ug/dl) (OR=1.29, p=0.04) and low zinc (< 70 ug/dl) (OR=1.58, p<0.001) were associated with increased odds for poor sleep quality. Adolescents with low iron and zinc were associated with fast (Iron: β=−1353.71, p=0.002, zinc: β=−2262.01, p=0.02) but less-accurate (Iron: β=−0.97, p=0.04; zinc: β=−1.76, p=0.04) performance on nonverbal reasoning task and poor sleep quality partially mediated the associations between low iron/zinc and nonverbal reasoning (p<0.05). Additionally, low iron was associated with a slower reaction on spatial processing task (β=276.94, p=0.04), and low zinc was associated with fast (β=−1781.83, p=0.03) but error-prone performance (β=−1.79, p=0.04) on spatial processing ability and slower reaction speed (β=12.82, p=0.03) on the attention task. We observed similar trends using a cutoff point of 75 ug/dl for low serum zinc, except for the association with attention task speed (p>0.05). Conclusion: Iron and zinc deficiencies may possibly be associated with poor sleep and neurobehavioral function among early adolescents. Poor sleep may partially mediate the relationship between micronutrients and neurobehavioral function.

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