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Books on the topic 'Observations Signal processing'

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Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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1

service), SpringerLink (Online, ed. Mathematical SETI: Statistics, Signal Processing, Space Missions. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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2

Jinsoo, Bae, and Ki Sun Yong 1968-, eds. Advanced theory of signal detection: Weak signal detection in generalized observations. Berlin: Springer, 2002.

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3

Li, Jian, Ph. D., 1965- and Stoica Petre, eds. Spectral analysis of signals: The missing data case. [San Rafael, Calif.]: Morgan & Claypool Publishers, 2005.

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4

He, Qi. System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles. New York, NY: Springer New York, 2013.

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5

Liège International Astrophysical Colloquium (27th 1987). Observational astrophysics with high precision data: Proceedings of the 27th Liège International Astrophysical Colloquium, June 23-26, 1987. Cointe-Ougrée, Belgique: Université de Liège, Institut d'astrophysique, 1987.

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6

Estimation of system gain and bias using noisy observations with known noise power ratio. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2002.

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7

United States. National Telecommunications and Information Administration., ed. Estimation of system gain and bias using noisy observations with known noise power ratio. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2002.

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8

Estimation of system gain and bias using noisy observations with known noise power ratio. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2002.

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9

Song, Iickho, Jinsoo Bae, Sun Yong Kim, J. Bae, and S. Y. Kim. Advanced Theory of Signal Detection: Weak Signal Detection in Generalized Observations (Signals and Communication Technology). Springer, 2004.

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10

Maccone, Claudio. Mathematical SETI: Statistics, Signal Processing, Space Missions. Springer, 2017.

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11

He, Qi, Le Yi Wang, and G. George Yin. System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles. Springer New York, 2013.

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12

Yin, George G., Qi He, and Le Yi Wang. System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles. Springer, 2013.

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13

Radar Imaging for Maritime Observation. Taylor & Francis Group, 2016.

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14

Berizzi, Fabrizio, Marco Martorella, and Elisa Giusti. Radar Imaging for Maritime Observation. Taylor & Francis Group, 2018.

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15

Berizzi, Fabrizio, Marco Martorella, and Elisa Giusti. Radar Imaging for Maritime Observation. Taylor & Francis Group, 2018.

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16

Berizzi, Fabrizio, Marco Martorella, and Elisa Giusti. Radar Imaging for Maritime Observation. Taylor & Francis Group, 2018.

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17

Berizzi, Fabrizio, Marco Martorella, and Elisa Giusti. Radar Imaging for Maritime Observation. Taylor & Francis Group, 2018.

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18

Berizzi, Fabrizio, Marco Martorella, and Elisa Giusti. Radar Imaging for Maritime Observation. Taylor & Francis Group, 2018.

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19

Dubuisson, Séverine. Tracking with Particle Filter for High-Dimensional Observation and State Spaces. Wiley & Sons, Incorporated, John, 2015.

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20

Dubuisson, S., and Séverine Dubuisson. Tracking with Particle Filter for High-Dimensional Observation and State Spaces. Wiley & Sons, Incorporated, John, 2015.

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21

Dubuisson, Séverine. Tracking with Particle Filter for High-dimensional Observation and State Spaces. Wiley-Interscience, 2015.

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22

Dubuisson, Séverine. Tracking with Particle Filter for High-Dimensional Observation and State Spaces. Wiley & Sons, Incorporated, John, 2015.

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23

Dubuisson, Séverine. Tracking with Particle Filter for High-Dimensional Observation and State Spaces. Wiley & Sons, Incorporated, John, 2015.

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24

Clark, Kelsey L., Behrad Noudoost, Robert J. Schafer, and Tirin Moore. Neuronal Mechanisms of Attentional Control. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.010.

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Abstract:
Covert spatial attention prioritizes the processing of stimuli at a given peripheral location, away from the direction of gaze, and selectively enhances visual discrimination, speed of processing, contrast sensitivity, and spatial resolution at the attended location. While correlates of this type of attention, which are believed to underlie perceptual benefits, have been found in a variety of visual cortical areas, more recent observations suggest that these effects may originate from frontal and parietal areas. Evidence for a causal role in attention is especially robust for the Frontal Eye Field, an oculomotor area within the prefrontal cortex. FEF firing rates have been shown to reflect the location of voluntarily deployed covert attention in a variety of tasks, and these changes in firing rate precede those observed in extrastriate cortex. In addition, manipulation of FEF activity—whether via electrical microstimulation, pharmacologically, or operant conditioning—can produce attention-like effects on behaviour and can modulate neural signals within posterior visual areas. We review this evidence and discuss the role of the FEF in visual spatial attention.
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