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1. Full Text Corrigendum to “Inference on impulse response functions in structural VAR models” [J. Econometrics 177 (2013) 1–13]
by Inoue, Atsushi and Kilian, Lutz
Journal of econometrics, ISSN 0304-4076, 03/2019, Volume 209, Issue 1, pp. 139 - 143
Sign restrictions | Credible set | Vector autoregression | Mode | Impulse responses | Median | Simultaneous inference
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2. Full Text Impulse Response Modeling for Underwater Wireless Optical Communication Links
by Shijian Tang and Yuhan Dong and Xuedan Zhang
IEEE transactions on communications, ISSN 0090-6778, 01/2014, Volume 62, Issue 1, pp. 226 - 234
Monte Carlo methods | Underwater wireless optical communications | Monte Carlo | Noise | Scattering | Sea measurements | Receivers | impulse response | Dispersion | Photonics | Engineering, Electrical & Electronic | Engineering | Telecommunications | Technology | Science & Technology | Signal and communications theory | Telecommunications and information theory | Systems, networks and services of telecommunications | Exact sciences and technology | Signal, noise | Applied sciences | Information, signal and communications theory | Transmission and modulation (techniques and equipments) | Optical telecommunications | Detection, estimation, filtering, equalization, prediction | Measurement | Wireless sensor networks | Functions, Gamma | Usage | Numerical analysis | Electromagnetic interference | Analysis | Innovations | Bandwidth | Economic models | Monte Carlo simulation | Wireless communication | Underwater | Exact solutions | Impulse response | Links | Spreads | Mathematical models | Channels
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3. Full Text Maximising receiver response in molecular communication systems
by Abd El-atty, S.M and Arafa, N.A and Abd El-Samie, F.E and Marey, M and Abouelazm, A.E
Electronics letters, ISSN 0013-5194, 8/2020, Volume 56, Issue 16, pp. 818 - 820
Information and communications | receiver nanomachine | reported investigations | molecular communication (telecommunication) | transient response | Dirac impulse | maximising receiver response | molecular information | molecular communication systems | molecular biophysics | molecular concentration | channel impulse response | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology
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4. Full Text Origin of the Chemiresistive Response of Ultrathin Films of Conductive Metal–Organic Frameworks
by Rubio‐Giménez, Víctor and Almora‐Barrios, Neyvis and Escorcia‐Ariza, Garin and Galbiati, Marta and Sessolo, Michele and Tatay, Sergio and Martí‐Gastaldo, Carlos
Angewandte Chemie (International ed.), ISSN 1433-7851, 11/2018, Volume 57, Issue 46, pp. 15086 - 15090
molecular devices | chemiresistive sensing | electrical conductivity | metal–organic frameworks | ultrathin films | Physical Sciences | Chemistry | Chemistry, Multidisciplinary | Science & Technology | Thin films | Usage | Electrical conductivity | Analysis | Dielectric films | Sensors | Electric properties | Organic chemistry | Electronic equipment | Electronic devices | Films | Porous materials | Metals | Inorganic materials | Computer applications | Selectivity | Copper | Metal-organic frameworks
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5. Full Text Effect of foreknowledge on neural activity of primary “go” responses relates to response stopping and switching
by Xu, Benjamin and Levy, Sarah and Butman, John and Pham, Dzung and Cohen, Leonardo G and Sandrini, Marco
Frontiers in human neuroscience, ISSN 1662-5161, 02/2015, Volume 9, pp. 34 - 34
Stop-signal | Response inhibition | Impulse | FMRI | Foreknowledge | Neurosciences | Social Sciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Psychology | Science & Technology | Studies | Automation | Transcranial magnetic stimulation | Nuclear magnetic resonance--NMR | Magnetic resonance imaging | Functional magnetic resonance imaging | fMRI | stop-signal | impulse | response inhibition | foreknowledge
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6. Full Text Brain atrophy can introduce age‐related differences in BOLD response
by Liu, Xueqing and Gerraty, Raphael T and Grinband, Jack and Parker, David and Razlighi, Qolamreza R
Human brain mapping, ISSN 1065-9471, 07/2017, Volume 38, Issue 7, pp. 3402 - 3414
fMRI | spatial normalization | hemodynamic impulse response function | registration | aging | native space | Hemodynamic impulse response function | Aging | Native space | Spatial normalization | Registration | FMRI | Neuroimaging | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology
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7. Full Text Time-Frequency Analysis of the Impulse Response
by Galleani, Lorenzo
IEEE transactions on signal processing, ISSN 1053-587X, 03/2019, Volume 67, Issue 5, pp. 1280 - 1295
nonstationary signals | MIMO systems | Time-frequency analysis | Interference | Differential equations | Harmonic analysis | impulse response | SISO sytstems | MIMO communication | Oscillators | Nonstationary signals | SISO systems | Impulse response | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | MIMO (control systems) | Economic models | Frequency analysis | System identification | T shape | Wigner distribution | SISO (control systems) | Harmonic oscillators
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8. Full Text Time-response functions of fractional derivative rheological models
by Makris, Nicos and Efthymiou, Eleftheria
Rheologica acta, ISSN 0035-4511, 12/2020, Volume 59, Issue 12, pp. 849 - 873
Mechanics | Technology | Science & Technology | Capacitors | Analysis | Green technology | Maxwell fluids | Computational fluid dynamics | Rheology | Impulse response | Inertia | Response functions | Strain rate | Delta function | Rheological properties
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9. Full Text Multiple-input–multiple-output channel modelling using multi-layer perceptron with finite impulse response and infinite impulse response synapses
by Sarma, Kandarpa Kumar and Mitra, Abhijit
IET communications, ISSN 1751-8628, 9/2013, Volume 7, Issue 14, pp. 1540 - 1549
multilayer perceptrons | artificial neural network | multi‐layer perceptron | soft‐computational approaches | mobile networks | telecommunication computing | multiple‐input‐multiple‐output channel modelling | FIR | MLP | finite impulse response | channel estimation | multiple‐input‐multiple‐output wireless technology | time‐varying MIMO channels | IIR | MIMO channel modelling | wireless channels | MIMO wireless technology | MIMO communication | infinite impulse response | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Multilayers | Neural networks | Mathematical analysis | Impulse response | Models | Modelling | Learning theory | Channels
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10. Full Text Dissociating the influence of response selection and task anticipation on corticospinal suppression during response preparation
by Duque, Julie and Labruna, Ludovica and Cazares, Christian and Ivry, Richard B
Neuropsychologia, ISSN 0028-3932, 12/2014, Volume 65, pp. 287 - 296
Action selection | Transcranial magnetic stimulation | Movement | Inhibition | Impulse control | Competition resolution | Motor preparation | Psychology, Experimental | Neurosciences | Social Sciences | Life Sciences & Biomedicine | Behavioral Sciences | Psychology | Neurosciences & Neurology | Science & Technology | Transcranial Magnetic Stimulation | Young Adult | Motor Activity - physiology | Evoked Potentials, Motor - physiology | Humans | Adult | Anticipation, Psychological - physiology | Choice Behavior - physiology | Female | Male | Pyramidal Tracts - physiology | Inhibition (Psychology) | Index Medicus | motor preparation | impulse control | competition resolution | inhibition | transcranial magnetic stimulation | action selection | movement
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11. Full Text A new solution to the induced l∞ finite impulse response filtering problem based on two matrix inequalities
by Ahn, Choon Ki
International journal of control, ISSN 0020-7179, 02/2014, Volume 87, Issue 2, pp. 404 - 409
filter | state estimation | induced l | finite impulse response (FIR) structure | deadbeat property | Technology | Automation & Control Systems | Science & Technology | Monetary policy | Economic models
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12. Full Text Mesocorticolimbic hemodynamic response in Parkinson's disease patients with compulsive behaviors
by Claassen, Daniel O and Stark, Adam J and Spears, Charis A and Petersen, Kalen J and van Wouwe, Nelleke C and Kessler, Robert M and Zald, David H and Donahue, Manus J
Movement disorders, ISSN 0885-3185, 11/2017, Volume 32, Issue 11, pp. 1574 - 1583
impulse control disorder | cerebral blood flow | Parkinson's disease | dopamine | impulsive compulsive behaviors | Clinical Neurology | Neurosciences & Neurology | Life Sciences & Biomedicine | Science & Technology | Cerebral Cortex - blood supply | Periaqueductal Gray - diagnostic imaging | Humans | Middle Aged | Periaqueductal Gray - drug effects | Male | Dopamine Agonists - adverse effects | Parkinson Disease - drug therapy | Spin Labels | Ventral Striatum - blood supply | Ventral Striatum - chemistry | Female | Cerebral Cortex - drug effects | Impulsive Behavior - physiology | Periaqueductal Gray - blood supply | Severity of Illness Index | Parkinson Disease - diagnostic imaging | Cerebrovascular Circulation - drug effects | Impulsive Behavior - drug effects | Parkinson Disease - physiopathology | Cerebral Cortex - diagnostic imaging | Magnetic Resonance Imaging | Ventral Striatum - drug effects | Ventral Striatum - diagnostic imaging | Animals | Aged | Neurons | Analysis | Diagnostic imaging | Obsessive compulsive disorder | Dopamine | Mesencephalon | Neurodegenerative diseases | Mesolimbic system | Periaqueductal gray area | Parkinsons disease | Prefrontal cortex | Blood flow | Magnetic resonance imaging | Cerebral blood flow | Neostriatum | Reinforcement | Cortex (insular) | Blood pressure | Impulsive behavior | Circulatory system | Behavior | Movement disorders | Index Medicus | Parkinson’s disease
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