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Books on the topic 'Spatial frequencie'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Pulkki, Ville, Symeon Delikaris-Manias, and Archontis Politis, eds. Parametric Time-Frequency Domain Spatial Audio. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119252634.

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2

Ozin, Linda. Age differences in the shape of spatial frequency filters. National Library of Canada, 1994.

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3

Simons, Rainee N. Spatial frequency multiplier with active linearly tapered slot antenna array. National Aeronautics and Space Administration, 1994.

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4

Zahar, Yadh. Eléments d'hydrologie pour l'aménagement: Modélisation spatiale et temporelle des précipitations extrêmes et érosives en Tunisie centrale. Université des lettres, des arts et des sciences humaines, Tunis I, Faculté des lettres de la Manouba, 1997.

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5

Gold, Jason M. The role of spatial frequency information in the identification of complex visual patterns. National Library of Canada, 1996.

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6

Chabane, G. The detection of chromatic and achromatic patterns by mechanismsworking in the spatial frequency range. UMIST, 1993.

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7

G, Schaefer Melvin, Washington (State). Dept. of Transportation., Washington State Transportation Commission. Planning and Programming Service Center., MGS Engineering Consultants Inc, and Oregon Climate Service, eds. Regional precipitation-frequency analysis and spatial mapping of precipitation for 24-hour and 2-hour durations in western Washington. Washington State Dept. of Transportation, 2002.

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8

Safford, Hugh D. Using fire return interval departure (FRID) analysis to map spatial and temporal changes in fire frequency on national forest lands in California. United States Department of Agriculture, Forest Service, Pacific Southwest Research Station, 2014.

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9

1953-, Wilson Charles A., United States. Minerals Management Service. Gulf of Mexico OCS Region., and Coastal Marine Institute (Baton Rouge, La.), eds. Seasonal and spatial variation in the biomass and size frequency distribution of the fish associated with oil and gas platforms in the northern Gulf of Mexico. U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 2000.

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10

Stanley, David R. Seasonal and spatial variation in the biomass and size frequency distribution of the fish associated with oil and gas platforms in the northern Gulf of Mexico. U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 2000.

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11

McCourt, Mark E., and Barbara Blakeslee. Grating Induction. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0055.

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Grating induction is a brightness/lightness illusion in which a sinewave luminance grating induces the appearance of a counterphase sinusoidal grating in a homogeneous test field oriented orthogonally to the inducing grating. Induction is greatest at low spatial and temporal frequencies and declines with increasing frequency in both dimensions. Induction magnitude also declines with increasing test field height and scales as the product of inducing grating spatial frequency (c/d) and test field height. These properties of grating induction are difficult to explain using nonfiltering-based mode

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12

Pulkki, Ville, Symeon Delikaris-Manias, and Archontis Politis. Parametric Time-Frequency Domain Spatial Audio. Wiley & Sons, Incorporated, John, 2017.

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13

Pulkki, Ville, Symeon Delikaris-Manias, and Archontis Politis. Parametric Time-Frequency Domain Spatial Audio. Wiley & Sons, Incorporated, John, 2017.

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14

Pulkki, Ville, Symeon Delikaris-Manias, and Archontis Politis. Parametric Time-Frequency Domain Spatial Audio. Wiley-Interscience, 2017.

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15

Pulkki, Ville, Symeon Delikaris-Manias, and Archontis Politis. Parametric Time-Frequency Domain Spatial Audio. Wiley & Sons, Limited, John, 2017.

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16

National Aeronautics and Space Administration (NASA) Staff. Local Spatial Frequency Analysis for Computer Vision. Independently Published, 2018.

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17

Kramer, Patricia Elaine. Summation and uncertainty effects in the detection of spatial frequency. 1985.

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18

Anstis, Stuart. Adaptation to Brightness Change, Contours, Jogging, and Apparent Motion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0108.

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Frisby and Stone have dubbed adaptation the “psychophysicist’s electrode” and John Mollon once famously said, “If it adapts, it’s there.” Psychologists piously hope that their many experiments on visual adaptation will tell physiologists where to look inside the brain. This chapter describes visual adaptation to temporal ramps, spatial edges, and apparent motion and touches on kinesthetic aftereffects from jogging. Sawtooth adaptation, a ramp aftereffect that is produced by gazing at a spatially uniform patch whose luminance is temporally modulated by a repetitive sawtooth, either gradually di

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19

Oliva, Aude, and Philippe G. Schyns. Hybrid Image Illusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0111.

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Artists, designers, photographers, and visual scientists are routinely looking for ways to create, out of a single image, the feeling that there is more to see than what meets the eye. Many well-known visual illusions are dual in nature, causing the viewer to experience two different interpretations of the same image. Hybrid images illustrate a double-image illusion, where different images are perceived depending on viewing distance, viewing duration, or image size: one that appears when the image is viewed up-close (displaying high spatial frequencies) and another that appears from afar (show

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20

Congendo, Marco, and Fernando H. Lopes da Silva. Event-Related Potentials. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0039.

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Event-related potentials (ERPs) can be elicited by a variety of stimuli and events in diverse conditions. This chapter covers the methodology of analyzing and quantifying ERPs in general. Basic models (additive, phase modulation and resetting, potential asymmetry) that account for the generation of ERPs are discussed. The principles and requirements of ensemble time averaging are presented, along with several univariate and multivariate methods that have been proposed to improve the averaging procedure: wavelet decomposition and denoising, spatial, temporal and spatio-temporal filtering. We em

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21

Piepmeier, Karen Swanson. Determining readability by computer analysis using the Fourier transform to calculate the spatial frequencies of words. 1987.

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22

Walsh, Bruce, and Michael Lynch. Using Molecular Data to Detect Selection: Signatures from Recent Single Events. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0009.

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Different types and phases of a selective sweep (hard, soft, partial, polygenic) generate different patterns of departures from neutrality, and hence require different tests. It is thus not surprising that a large number of tests have been proposed that use sequence information to detect ongoing, or very-recently completed, episodes of selection. This chapter critically reviews over 50 such tests, which use information on allele-frequency change, linkage disequilibrium patterns, spatial allele-frequency patterns, site-frequency spectrum data, allele-frequency spectrum data, and haplotype struc

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23

Blakeslee, Barbara, and Mark E. McCourt. The White Effect. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0039.

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The White effect is an illusion in which gray test patches of identical luminance placed on the black and white bars of a square-wave grating appear different in brightness/lightness. The effect has received much attention because the direction of the brightness change does not correlate with the amount of black or white border in contact with the gray test patch or its general vicinity. The test patch on the black bar appears lighter than the test patch on the white bar despite changes in test patch height or inducing grating spatial frequency. In addition, although the test patch shows a smo

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24

Furst, Eric M., and Todd M. Squires. Interferometric tracking. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199655205.003.0006.

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The purpose of this chapter is to present a survey of passive microrheology techniques that are important complements to more widely used particle tracking and light scattering methods. Such methods include back focal plane interferometry and extensions of particle tracking to measure the rotation of colloidal particles. Methods of passive microrheology using back focal plane interferometry are presented, including the experimental design and detector sensitivity and limits in frequency bandwidth and spatial resolution. The Generalized Stokes Einstein relation is derived from linear response t

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25

Billings, Stephen A. Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains. Wiley, 2013.

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26

Billings, Stephen A. Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains. Wiley & Sons, Incorporated, John, 2013.

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27

Billings, Stephen. Nonlinear System Identification: Narmax Methods in the Time, Frequency, and Spatio-Temporal Domains. Wiley & Sons, Incorporated, John, 2013.

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28

Billings, Stephen. Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains. Wiley & Sons, Limited, John, 2013.

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29

Billings, Stephen A. Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains. Wiley & Sons, Incorporated, John, 2013.

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30

Billings, Stephen A. Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains. Wiley & Sons, Incorporated, John, 2013.

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31

Chubb, Charles, Joshua A. Solomon, and George Sperling. The Contrast Contrast Illusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0041.

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To most observers, a patch of medium-contrast texture viewed against a background of high-contrast texture appears lower in contrast than an identical patch viewed against a homogeneous, mean gray background. This is the contrast contrast illusion. This chapter reviews basic findings concerning this illusion; for example, the contrast contrast illusion is selective for texture spatial frequency as well as for texture contrast polarity. Several theories to account for the illusion are discussed. Related concepts such as texture contrast, textual granularity, individual differences, contrast pol

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32

Fermüller, Cornelia. Motion Illusions in Man and Machine. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0006.

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At the level of mathematical abstraction, computing image motion amounts to an estimation problem and can be analyzed using the tools of statistics and signal processing. As shown in this chapter, intrinsic limitations to the estimation processes make it impossible to derive veridical estimates for all images. Image motion is estimated erroneously, and as a result higher level processes compute erroneous three-dimensional motion and moving scenes. Specifically, two limitations are discussed: (a) due to noise in image data, there is statistical bias that affects anisotropic patterns and (2) the

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33

Michel, Christoph M., and Bin He. EEG Mapping and Source Imaging. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0045.

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This chapter describes methods to analyze the scalp electric field recorded with multichannel electroencephalography (EEG). With advances in high-density EEG, systems now allow fast and easy recording from 64 to 256 channels simultaneously. Pattern-recognition algorithms can characterize the topography of scalp electric fields and detect changes in topography over time and between experimental or clinical conditions. Methods for estimating the sources underlying the recorded scalp potential maps have increased the spatial resolution of EEG. The use of anatomical information in EEG source recon

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34

Schomer, Donald L., Charles M. Epstein, Susan T. Herman, Douglas Maus, and Bruce J. Fisch. Recording Principles. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0005.

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This chapter reviews the technical aspects of recording and reviewing clinical electroencephalograms (EEGs) and related biopotentials. While advances in engineering technology have revolutionized EEG machines, the basic principles underlying accurate representation of brain activity are largely unchanged. The first section reviews the analog EEG components, and the second section discusses analog-to-digital conversion, digital filters, and display and storage parameters. Digital EEG machines are now less expensive and their capabilities far surpass those of analog machines. The third section r

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35

Brophy, Philip. Parties in Your Head. Edited by John Richardson, Claudia Gorbman, and Carol Vernallis. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199733866.013.0021.

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This article appears in theOxford Handbook of New Audiovisual Aestheticsedited by John Richardson, Claudia Gorbman, and Carol Vernallis. The sound of nightclubs and club music has transformed spatial scale, frequency range, and volume levels in film soundtracks for the past twenty-five years. Across this period, spatialization is intensified, the soundtrack gets noiser, and characterization favors unbalanced psychological states. Consequently, an aural “Other” becomes progressively encoded and registered. The texture of recorded sound on film becomes affected by non-cinematic aurality, respond

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36

Ślusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.

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The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network

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37

Seasonal and spatial variation in the biomass and size frequency distribution of the fish associated with oil and gas platforms in the northern Gulf of Mexico. U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 2000.

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38

Isett, Philip. Hölder Continuous Euler Flows in Three Dimensions with Compact Support in Time. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691174822.001.0001.

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Motivated by the theory of turbulence in fluids, the physicist and chemist Lars Onsager conjectured in 1949 that weak solutions to the incompressible Euler equations might fail to conserve energy if their spatial regularity was below 1/3-Hölder. This book uses the method of convex integration to achieve the best-known results regarding nonuniqueness of solutions and Onsager's conjecture. Focusing on the intuition behind the method, the ideas introduced now play a pivotal role in the ongoing study of weak solutions to fluid dynamics equations. The construction itself—an intricate algorithm with

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39

Malawey, Victoria. A Blaze of Light in Every Word. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190052201.001.0001.

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A Blaze of Light in Every Word presents a conceptual model for analyzing vocal delivery in popular song recordings focused on three overlapping areas of inquiry: pitch, prosody, and quality. The domain of pitch, which refers to listeners’ perceptions of frequency, considers range, tessitura, intonation, and registration. Prosody, the pacing and flow of delivery, comprises phrasing, metric placement, motility, embellishment, and consonantal articulation. Qualitative elements include timbre, phonation, onset, resonance, clarity, paralinguistic effects, and loudness. Intersecting all three domain

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40

Rajakumar, P. S., S. Geetha, and T. V. Ananthan. Fundamentals of Image Processing. Jupiter Publications Consortium, 2023. http://dx.doi.org/10.47715/jpc.b.978-93-91303-80-8.

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"Fundamentals of Image Processing" offers a comprehensive exploration of image processing's pivotal techniques, tools, and applications. Beginning with an overview, the book systematically categorizes and explains the multifaceted steps and methodologies inherent to the digital processing of images. The text progresses from basic concepts like sampling and quantization to advanced techniques such as image restoration and feature extraction. Special emphasis is given to algorithms and models crucial to image enhancement, restoration, segmentation, and application. In the initial segments, the i

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41

Ramani, Ramachandran, ed. Functional MRI. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190297763.001.0001.

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Functional MRI with BOLD (Blood Oxygen Level Dependent) imaging is one of the commonly used modalities for studying brain function in neuroscience. The underlying source of the BOLD fMRI signal is the variation in oxyhemoglobin to deoxyhemoglobin ratio at the site of neuronal activity in the brain. fMRI is mostly used to map out the location and intensity of brain activity that correlate with mental activities. In recent years, a new approach to fMRI was developed that is called resting-state fMRI. The fMRI signal from this method does not require the brain to perform any goal-directed task; i

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42

Bartkowicz, Leszek. Tekstura drzewostanów naturalnych w polskich parkach narodowych na tle teorii dynamiki lasu. Publishing House of the University of Agriculture in Krakow, 2021. http://dx.doi.org/10.15576/978-83-66602-20-5.

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The aim of the study was to compare a patch-mosaic pattern in the old-growth forest stands developed in various climate and soil conditions occurring in different regions of Poland. Based on the assumption, that the patch-mosaic pattern in the forest reflect the dynamic processes taking place in it, and that each type of forest ecosystem is characterized by a specific regime of natural disturbances, the following hypotheses were formulated: (i) the patches with a complex structure in stands composed of latesuccessional, shade-tolerant tree species are more common than those composed of early-s

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43

Gao, Yanhong, and Deliang Chen. Modeling of Regional Climate over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.591.

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The modeling of climate over the Tibetan Plateau (TP) started with the introduction of Global Climate Models (GCMs) in the 1950s. Since then, GCMs have been developed to simulate atmospheric dynamics and eventually the climate system. As the highest and widest international plateau, the strong orographic forcing caused by the TP and its impact on general circulation rather than regional climate was initially the focus. Later, with growing awareness of the incapability of GCMs to depict regional or local-scale atmospheric processes over the heterogeneous ground, coupled with the importance of t

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44

Szewczyk, Janusz. Rola zaburzeń w kształtowaniu struktury i dynamiki naturalnych lasów bukowo-jodłowo-świerkowych w Karpatach Zachodnich. Publishing House of the University of Agriculture in Krakow, 2018. http://dx.doi.org/10.15576/978-83-66602-35-9.

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The aim of the study was to determine the influence of different disturbances (both natural and anthropogenic) on species composition and stand structure of old-growth mixed mountain forests in the Western Carpathians. These stands are usually dominated by beech, fir and spruce, mixed in different proportions. The tree main species represent different growth strategies, and they compete against each other. The longevity of trees makes the factors influencing the stand structure difficult to identify, even during longitudinal studies conducted on permanent research plots. That is why dendroecol

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