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Published: 14 September 2024

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1

(Johan), Schoukens J., ed. System identification: A frequency domain approach. 2nd ed. Hoboken, N.J: John Wiley & Sons Inc., 2012.

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2

G, Chen, ed. Hopf bifurcation analysis: A frequency domain approach. Singapore: World Scientific, 1996.

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3

Chao, Chi-Shun. A frequency domain based approach to on-line system identification. Monterey, Calif: Naval Postgraduate School, 1991.

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4

Nachane, D. M. Measuring variability of monetary policy lags: A frequency domain approach. Florence: European University Institute, Department of Economics, 2001.

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5

Altshuller, Dmitry. Frequency Domain Criteria for Absolute Stability: A Delay-integral-quadratic Constraints Approach. London: Springer London, 2013.

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6

O'Halloran, Patrick. A convolution based approach for simulating linear circuit blocks defined in the frequency domain within a nonlinear time domain simulator. Dublin: University College Dublin, 1997.

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7

Curtain, R. F., A. Bensoussan, and J. L. Lions, eds. Analysis and Optimization of Systems: State and Frequency Domain Approaches for Infinite-Dimensional Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/bfb0115017.

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8

F, Curtain Ruth, Benoussan Alain, Lions Jacques Louis, and International Conference on Analysis and Optimization of Systems (10th : 1992 : Sophia-Antipolis, France), eds. Analysis and optimization of systems: State and frequency domain approaches for infinite-dimensional systems : proceedings of the 10th international conference, Sophia-Antipolis, France, June 9-12, 1992. Berlin: Springer-Verlag, 1993.

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9

System Identification: A Frequency Domain Approach. Wiley & Sons, Incorporated, John, 2005.

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10

System Identification: A Frequency Domain Approach. Wiley-IEEE Press, 2001.

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11

Pintelon, Rik, and Johan Schoukens. System Identification: A Frequency Domain Approach. John Wiley & Sons, 2003.

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12

Pintelon, Rik, and Johan Schoukens. System Identification: A Frequency Domain Approach. Wiley & Sons, Limited, John, 2012.

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13

Pintelon, Rik, and Johan Schoukens. System Identification: A Frequency Domain Approach. Wiley & Sons, Incorporated, John, 2012.

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14

Pintelon, Rik, and Johan Schoukens. System Identification: A Frequency Domain Approach. Wiley & Sons, Incorporated, John, 2012.

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15

Pintelon, Rik, and Johan Schoukens. System Identification: A Frequency Domain Approach. Wiley & Sons, Incorporated, John, 2008.

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16

Pintelon, Rik, and Johan Schoukens. System Identification: A Frequency Domain Approach. Wiley & Sons, Incorporated, John, 2012.

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17

Chen, Guan-Rong. Hopf Bifurcation Analysis: A Frequency Domain Approach. World Scientific Publishing Co Pte Ltd, 1996.

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18

Hopf Bifurcation Analysis: A Frequency Domain Approach. World Scientific Publishing Co Pte Ltd, 1996.

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19

Fatigue analysis of random loadings: A frequency-domain approach. LAP Lambert Academic Publishing, 2012.

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20

Frequency Domain Criteria For Absolute Stability A Delayintegralquadratic Constraints Approach. Springer, 2012.

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21

Gentile, Franco Sebastian, Jorge Luis Moiola, and Guanrong Chen. Frequency-Domain Approach to Hopf Bifurcation Analysis: Continuous Time-Delayed Systems. World Scientific Publishing Co Pte Ltd, 2020.

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22

Altshuller, Dmitry. Frequency Domain Criteria for Absolute Stability: A Delay-integral-quadratic Constraints Approach. Springer, 2012.

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23

Schamel, Andreas. A frequency domain approach to the analysis and optimization of valve spring dynamics. 1993.

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24

Terdik, György. Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis: A Frequency Domain Approach. Springer, 1999.

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25

Terdik, György. Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis: A Frequency Domain Approach. Springer London, Limited, 2012.

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26

Jing, Xingjian, and Ziqiang Lang. Frequency Domain Analysis and Design of Nonlinear Systems Based on Volterra Series Expansion: A Parametric Characteristic Approach. Springer International Publishing AG, 2015.

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27

Jing, Xingjian, and Ziqiang Lang. Frequency Domain Analysis and Design of Nonlinear Systems Based on Volterra Series Expansion: A Parametric Characteristic Approach. Springer London, Limited, 2015.

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28

Jing, Xingjian, and Ziqiang Lang. Frequency Domain Analysis and Design of Nonlinear Systems based on Volterra Series Expansion: A Parametric Characteristic Approach. Springer, 2016.

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29

Cemgil, A. Taylan, Simon Godsill, Paul Peeling, and Nick Whiteley. Bayesian statistical methods for audio and music processing. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.25.

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This article focuses on the use of Bayesian statistical methods in audio and music processing in the context of an application to multipitch audio and determining a musical ‘score’ representation that includes pitch and time duration summary for a musical extract (the so-called ‘piano-roll’ representation of music). It first provides an overview of mainstream applications of audio signal processing, the properties of musical audio, superposition and how to address it using the Bayesian approach, and the principal challenges facing audio processing. It then considers the fundamental audio processing tasks before discussing a range of Bayesian hierarchical models involving both time and frequency domain dynamic models. It shows that Bayesian analysis is applicable in audio signal processing in real environments where acoustical conditions and sound sources are highly variable, yet audio signals possess strong statistical structure.

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30

Lions, Jacques Louis, Alain Benoussan, and Ruth F. Curtain. Analysis and Optimization of Systems: State and Frequency Domain Approaches for Infinite-Dimensional Systems : Proceedings of the 10th International (Lecture Notes in Control and Information Sciences). Springer, 1993.

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31

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 domains is the area of technological mediation, which considers how external technologies, such as layering, overdubbing, pitch modification, recording transmission, compression, reverb, spatial placement, delay, and other electronic effects, impact voice in recorded music. Though the book focuses primarily on the sonic and material aspects of vocal delivery, it situates these aspects among broader cultural, philosophical, and anthropological approaches to voice with the goal to better understand the relationship between sonic content and its signification. Drawing upon transcription and spectrographic analysis as the primary means of representation, as well as modes of analysis, this book features in-depth analyses of a wide array of popular song recordings spanning genres from indie rock to hip-hop to death metal, develops analytical tools for understanding how individual dimensions make singing voices both complex and unique, and synthesizes how multiple aspects interact to better understand the multidimensionality of singing voices.

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32

Van Herwegen, Jo, and Annette Karmiloff-Smith. Genetic Developmental Disorders and Numerical Competence across the Lifespan. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.031.

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Due to their frequent uneven cognitive profiles, genetic developmental disorders allow researchers to investigate which numerical sub-system of those present in typically developing infants best predicts subsequent numerical abilities. More importantly, they can provide evidence of which other cognitive abilities outside number are necessary for the successful development of these numerical sub-systems. We discuss evidence from cross-syndrome comparisons of adults, adolescents, children, and infants with Williams syndrome and those with Down syndrome to show that the approximate magnitude sub-system is crucial for later number development. In addition, we show that specific problems outside the number domain, and within basic-level visual and attention systems contribute to an explanation of the difficulties and proficiencies observed within each genetic disorder. Finally, we argue that a truly developmental approach is critical when using the cross-syndrome design in order to reveal subtle differences that impact over time on the development of cognitive abilities.

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33

Vallar, Giuseppe, and Nadia Bolognini. Unilateral Spatial Neglect. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.012.

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Left unilateral spatial neglect is the most frequent and disabling neuropsychological syndrome caused by lesions to the right hemisphere. Over 50% of right-brain-damaged patients show neglect, while right neglect after left-hemispheric damage is less frequent. Neglect patients are unable to orient towards the side contralateral to the lesion, to detect and report sensory events in that portion of space, as well as to explore it by motor action. Neglect is a multicomponent disorder, which may involve the contralesional side of the body or of extra-personal physical or imagined space, different sensory modalities, specific domains (e.g. ‘neglect dyslexia’), and worsen sensorimotor deficits. Neglect is due to higher-order unilateral deficits of spatial attention and representation, so that patients are not aware of contralesional events, which, however, undergo a substantial amount of unconscious processing up to the semantic level. Cross-modal sensory integration is also largely preserved. Neglect is primarily a spatially specific disorder of perceptual consciousness. The responsible lesions involve a network including the fronto-temporo-parietal cortex (particularly the posterior-inferior parietal lobe, at the temporo-parietal junction), their white matter connections, and some subcortical grey nuclei (thalamus, basal ganglia). Damage to primary sensory and motor regions is not associated to neglect. A variety of physiological lateralized and asymmetrical sensory stimulations (vestibular, optokinetic, prism adaptation, motor activation), and transcranial electrical and magnetic stimulations, may temporarily improve or worsen neglect. Different procedures have been successfully developed to rehabilitate neglect, using both ‘top down’ (training the voluntary orientation of attention) and ‘bottom up’ (the above-mentioned stimulations) approaches.

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