Results for ' signal frequency'

988 found
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  1.  27
    Effects of signal frequency on increase in reaction time in a 10-minute auditory monitoring task.Hans O. Lisper & Stig Ericsson - 1973 - Journal of Experimental Psychology 98 (2):316.
  2.  24
    Effect of signal frequency on auditory autokinesis.G. Russell & W. G. Noble - 1974 - Journal of Experimental Psychology 103 (1):173.
  3.  23
    Interaction of time-uncertainty and relative signal frequency in determining choice reaction time.Paul Bertelson & Jacques Barzeele - 1965 - Journal of Experimental Psychology 70 (5):448.
  4.  25
    Human vigilance as a function of signal frequency and stimulus density.William A. Johnston, William C. Howell & Irwin L. Goldstein - 1966 - Journal of Experimental Psychology 72 (5):736.
  5.  30
    Frequency Domain Based Approach for Denoising of Underwater Acoustic Signal Using EMD.Mathews M. Philip, Rajendran Velayutham & Vijayabaskar Veeraiyan - 2013 - Journal of Intelligent Systems 22 (1):67-80.
    . Underwater communication is usually affected by ambient noise, which may be generated by different sources, such as the wind origin sea-surface sources, ships and under water life. The properties of background noise, which are non-stationary in nature, depend on location, sea depth, wind speed and sound propagation conditions in the area. Overall performance of underwater acoustic instruments can be improved by denoising the underwater signals. This paper proposes a novel denoising method using empirical mode decomposition technique. Frequency domain (...)
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  6.  17
    Binaural detection as a function of signal frequency and noise level.W. A. Wilbanks - 1979 - Bulletin of the Psychonomic Society 14 (6):449-452.
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  7. Temps–Fréquence (Traité des Nouvelles Technologies, série Traitement du Signal).P. Flandrin - forthcoming - Hermes.
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  8.  22
    Conspicuity of flashing light signals of different frequency and duration.Siegfried J. Gerathewohl - 1954 - Journal of Experimental Psychology 48 (4):247.
  9.  13
    Similarity space for auditory signals differing in frequency and intensity.Irwin Pollack & Naif Khouri - 1979 - Bulletin of the Psychonomic Society 13 (4):209-211.
  10.  17
    Stabilization over frequency-selective channels subject to transmission delay and signal-to-noise ratio limitations.Mohsen Barforooshan & Reza Mahboobi Esfanjani - 2016 - Complexity 21 (S1):557-565.
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  11.  11
    Editorial: High Frequency Brain Signals: From Basic Research to Clinical Application.Jing Xiang, Ryouhei Ishii & Xiaofeng Yang - 2022 - Frontiers in Human Neuroscience 16.
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  12.  52
    Amplitude differences in high-frequency fMRI signals between eyes open and eyes closed resting states.Bin-Ke Yuan, Jue Wang, Yu-Feng Zang & Dong-Qiang Liu - 2014 - Frontiers in Human Neuroscience 8.
  13.  12
    Using linear parameter varying autoregressive models to measure cross frequency couplings in EEG signals.Kyriaki Kostoglou & Gernot R. Müller-Putz - 2022 - Frontiers in Human Neuroscience 16:915815.
    For years now, phase-amplitude cross frequency coupling (CFC) has been observed across multiple brain regions under different physiological and pathological conditions. It has been suggested that CFC serves as a mechanism that facilitates communication and information transfer between local and spatially separated neuronal populations. In non-invasive brain computer interfaces (BCI), CFC has not been thoroughly explored. In this work, we propose a CFC estimation method based on Linear Parameter Varying Autoregressive (LPV-AR) models and we assess its performance using both (...)
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  14.  36
    Beyond Noise: Using Temporal ICA to Extract Meaningful Information from High-Frequency fMRI Signal Fluctuations during Rest.Roland N. Boubela, Klaudius Kalcher, Wolfgang Huf, Claudia Kronnerwetter, Peter Filzmoser & Ewald Moser - 2013 - Frontiers in Human Neuroscience 7.
  15. Word frequency effects found in free recall are rather due to Bayesian surprise.Serban C. Musca & Anthony Chemero - 2022 - Frontiers in Psychology 13.
    The inconsistent relation between word frequency and free recall performance and the non-monotonic relation found between the two cannot all be explained by current theories. We propose a theoretical framework that can explain all extant results. Based on an ecological psychology analysis of the free recall situation in terms of environmental and informational resources available to the participants, we propose that because participants’ cognitive system has been shaped by their native language, free recall performance is best understood as the (...)
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  16.  82
    Superluminal Signal Velocity and Causality.Günter Nimtz - 2004 - Foundations of Physics 34 (12):1889-1903.
    A superluminal signal velocity (i.e. faster than light) is said to violate causality. However, superluminal signal velocities have been measured in tunneling experiments recently. The classical dipole interaction approach by Sommerfeld and Brillouin results in a complex refractive index with a finite real part. For the tunneling process with its purely imaginary refractive index this model obtaines a zero-time traversing of tunneling barriers in agreement with wave meechanics. The information of a signal is proportional to the product (...)
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  17.  13
    Frequency Specific Cortical Dynamics During Motor Imagery Are Influenced by Prior Physical Activity.Selina C. Wriessnegger, Clemens Brunner & Gernot R. Müller-Putz - 2018 - Frontiers in Psychology 9:398909.
    Motor imagery is often used inducing changes in electroencephalographic (EEG) signals for imagery-based brain-computer interfacing (BCI). A BCI is a device translating brain signals into control signals providing severely motor-impaired persons with an additional, non-muscular channel for communication and control. In the last years, there is increasing interest using BCIs also for healthy people in terms of enhancement or gaming. Most studies focusing on improving signal processing feature extraction and classification methods, but the performance of a BCI can also (...)
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  18.  13
    Signal-Space Projection Suppresses the tACS Artifact in EEG Recordings.Johannes Vosskuhl, Tuomas P. Mutanen, Toralf Neuling, Risto J. Ilmoniemi & Christoph S. Herrmann - 2020 - Frontiers in Human Neuroscience 14.
    BackgroundTo probe the functional role of brain oscillations, transcranial alternating current stimulation has proven to be a useful neuroscientific tool. Because of the excessive tACS-caused artifact at the stimulation frequency in electroencephalography signals, tACS + EEG studies have been mostly limited to compare brain activity between recordings before and after concurrent tACS. Critically, attempts to suppress the artifact in the data cannot assure that the entire artifact is removed while brain activity is preserved. The current study aims to evaluate (...)
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  19.  31
    Influences of Head Motion Regression on High-Frequency Oscillation Amplitudes of Resting-State fMRI Signals.Bin-Ke Yuan, Yu-Feng Zang & Dong-Qiang Liu - 2016 - Frontiers in Human Neuroscience 10.
  20.  90
    High-frequency repetitive transcranial magnetic stimulation of the left dorsolateral prefrontal cortex may reduce impulsivity in patients with methamphetamine use disorders: A pilot study.Qingming Liu, Xingjun Xu, Huimin Cui, Lei Zhang, Zhiyong Zhao & Ying da DongShen - 2022 - Frontiers in Human Neuroscience 16.
    BackgroundIndividuals who use methamphetamine for a long period of time may experience decreased inhibition and increased impulsivity. In order to reduce impulsivity or improve inhibitory control ability, high-frequency repetitive transcranial magnetic stimulation has attracted much attention of researchers. Recent studies on addiction have shown that rTMS can stimulate different brain regions to produce different therapeutic effects. Recent work also suggests that HF-rTMS over right dorsolateral prefrontal cortex does not affect the impulsivity of patients with alcohol use disorder; while HF-rTMS (...)
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  21.  43
    Time-Frequency Analysis and Target Recognition of HRRP Based on CN-LSGAN, STFT, and CNN.Jianghua Nie, Yongsheng Xiao, Lizhen Huang & Feng Lv - 2021 - Complexity 2021:1-10.
    Aiming at the problem of radar target recognition of High-Resolution Range Profile under low signal-to-noise ratio conditions, a recognition method based on the Constrained Naive Least-Squares Generative Adversarial Network, Short-time Fourier Transform, and Convolutional Neural Network is proposed. Combining the Least-Squares Generative Adversarial Network with the Wasserstein Generative Adversarial Network with Gradient Penalty, the CN-LSGAN is presented and applied to the HRRP denoise. The frequency domain and phase features of HRRP are gained by STFT in order to facilitate (...)
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  22.  50
    Music reduces pain and increases resting state fMRI BOLD signal amplitude in the left angular gyrus in fibromyalgia patients.Eduardo A. Garza-Villarreal, Zhiguo Jiang, Peter Vuust, Sarael Alcauter, Lene Vase, Erick Pasaye, Roberto Cavazos-Rodriguez, Elvira Brattico, Troels S. Jensen & Fernando A. Barrios - 2015 - Frontiers in Psychology 6:148096.
    Music reduces pain in fibromyalgia (FM), a chronic pain disease, but the functional neural correlates of music-induced analgesia (MIA) are still largely unknown. We recruited FM patients ( n = 22) who listened to their preferred relaxing music and an auditory control (pink noise) for 5 min without external noise from fMRI image acquisition. Resting state fMRI was then acquired before and after the music and control conditions. A significant increase in the amplitude of low frequency fluctuations of the (...)
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  23.  14
    A Zero-Padding Frequency Domain Convolutional Neural Network for SSVEP Classification.Dongrui Gao, Wenyin Zheng, Manqing Wang, Lutao Wang, Yi Xiao & Yongqing Zhang - 2022 - Frontiers in Human Neuroscience 16.
    The brain-computer interface of steady-state visual evoked potential is one of the fundamental ways of human-computer communication. The main challenge is that there may be a nonlinear relationship between different SSVEP in other states. For improving the performance of SSVEP BCI, a novel CNN algorithm model is proposed in this study. Based on the discrete Fourier transform to calculate the signal's power spectral density, we perform zero-padding in the signal's time domain to improve its performance on the PSD (...)
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  24.  11
    Effects of the intensified frequency and time ranges on consonant enhancement in bilateral cochlear implant and hearing aid users.Yang-Soo Yoon & Carrie Drew - 2022 - Frontiers in Psychology 13.
    A previous study demonstrated that consonant recognition improved significantly in normal hearing listeners when useful frequency and time ranges were intensified by 6 dB. The goal of this study was to determine whether bilateral cochlear implant and bilateral hearing aid users experienced similar enhancement on consonant recognition with these intensified spectral and temporal cues in noise. In total, 10 BCI and 10 BHA users participated in a recognition test using 14 consonants. For each consonant, we used the frequency (...)
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  25.  27
    Improved Brain–Computer Interface Signal Recognition Algorithm Based on Few-Channel Motor Imagery.Fan Wang, Huadong Liu, Lei Zhao, Lei Su, Jianhua Zhou, Anmin Gong & Yunfa Fu - 2022 - Frontiers in Human Neuroscience 16.
    Common spatial pattern is an effective algorithm for extracting electroencephalogram features of motor imagery ; however, CSP mainly aims at multichannel EEG signals, and its effect in extracting EEG features with fewer channels is poor—even worse than before using CSP. To solve the above problem, a new combined feature extraction method has been proposed in this study. For EEG signals from fewer channels, wavelet packet transform, fast ensemble empirical mode decomposition, and local mean decomposition were used to decompose the band-pass (...)
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  26.  36
    External Noise and External Signal Induced Transition of Gene Switch and Coherence Resonance in the Genetic Regulatory System.Chu-Sheng Huang, Tao Dong, Min Luo & Jian-Cheng Shi - 2017 - Acta Biotheoretica 65 (2):135-150.
    The transition of gene switch induced by external noises and external signals is investigated in the genetic regulatory system. Results show that the state-to-state transition of gene switch as well as resonant behaviors, such as the explicit coherence resonance, implicit coherence resonance and control parameter coherence biresonance, can appear when noises are injected into the genetic regulatory system. The ECR is increased with the increase of the control parameter value when starting from the supercritical Hopf bifurcation parameter point, and there (...)
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  27. Male guppies differ in daily frequency but not diel pattern of display under daily light changes.Kate E. Lynch, Samuel O'Neill, Darrell Kemp & Thomas White - 2019 - Behavioral Ecology and Sociobiology 73:157.
    Sexually signalling animals must trade off the benefits of attracting mates with the consequences of attracting predators. For male guppies, predation risk depends on their behaviour, colouration, environmental conditions and changing intensity of predation throughout the day. Theoretically, this drives diel patterns of display behaviour in native Trinidadian populations, where males display more under low-light conditions when their most dangerous predator is less active. Here, we observed Australian guppies in a laboratory setting to investigate their diel display pattern, and if (...)
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  28.  14
    (1 other version)Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals.Selina C. Wriessnegger, Philipp Raggam, Kyriaki Kostoglou & Gernot R. Müller-Putz - 2021 - Frontiers in Human Neuroscience 15.
    The goal of this study was to implement a Riemannian geometry -based algorithm to detect high mental workload and mental fatigue using task-induced electroencephalogram signals. In order to elicit high MWL and MF, the participants performed a cognitively demanding task in the form of the letter n-back task. We analyzed the time-varying characteristics of the EEG band power features in the theta and alpha frequency band at different task conditions and cortical areas by employing a RG-based framework. MWL and (...)
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  29.  44
    The Active Frequency Control Strategy of the Wind Power Based on Model Predictive Control.Ya-Ling Chen, Yin-Peng Liu & Xiao-fei Sun - 2021 - Complexity 2021:1-11.
    In this paper, an active frequency control strategy of wind turbines based on model predictive control is proposed by using the power margin of wind turbines operating in load shedding mode. The frequency response model of the microgrid system with the load shedding of the wind turbines is used to predict the output power and system frequency deviation of the wind turbine. According to the prediction information, the output power control signal of the model predictive controller (...)
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  30.  46
    Artificial Immune System–Negative Selection Classification Algorithm (NSCA) for Four Class Electroencephalogram (EEG) Signals.Nasir Rashid, Javaid Iqbal, Fahad Mahmood, Anam Abid, Umar S. Khan & Mohsin I. Tiwana - 2018 - Frontiers in Human Neuroscience 12:424534.
    Artificial Immune Systems (AIS) are intelligent algorithms derived on the principles inspired by human immune system. In this research work, electroencephalography (EEG) signals for four distinct motor movement of human limbs are detected and classified using Negative Selection Classification Algorithm (NSCA). For this study, a widely studied open source EEG signal database (BCI IV - Graz dataset 2a, comprising 9 subjects) has been used. Mel Frequency Cepstral Coefficients (MFCCs) are extracted as selected feature from recorded EEG signals. Dimensionality (...)
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  31.  14
    The Interaction Between Timescale and Pitch Contour at Pre-attentive Processing of Frequency-Modulated Sweeps.I.-Hui Hsieh & Wan-Ting Yeh - 2021 - Frontiers in Psychology 12.
    Speech comprehension across languages depends on encoding the pitch variations in frequency-modulated sweeps at different timescales and frequency ranges. While timescale and spectral contour of FM sweeps play important roles in differentiating acoustic speech units, relatively little work has been done to understand the interaction between the two acoustic dimensions at early cortical processing. An auditory oddball paradigm was employed to examine the interaction of timescale and pitch contour at pre-attentive processing of FM sweeps. Event-related potentials to (...) sweeps that vary in linguistically relevant pitch contour and timescale in Mandarin Chinese were recorded. Mismatch negativities were elicited by all types of sweep deviants. For local timescale, FM sweeps with F0 contours yielded larger MMN amplitudes than F1 contours. A reversed MMN amplitude pattern was obtained with respect to F0/F1 contours for global timescale stimuli. An interhemispheric asymmetry of MMN topography was observed corresponding to local and global-timescale contours. Falling but not rising frequency difference waveforms sweep contours elicited right hemispheric dominance. Results showed that timescale and pitch contour interacts with each other in pre-attentive auditory processing of FM sweeps. Findings suggest that FM sweeps, a type of non-speech signal, is processed at an early stage with reference to its linguistic function. That the dynamic interaction between timescale and spectral pattern is processed during early cortical processing of non-speech frequency sweep signal may be critical to facilitate speech encoding at a later stage. (shrink)
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  32.  18
    Application and Evolution for Neural Network and Signal Processing in Large-Scale Systems.Dongbao Jia, Cunhua Li, Qun Liu, Qin Yu, Xiangsheng Meng, Zhaoman Zhong, Xinxin Ban & Nizhuan Wang - 2021 - Complexity 2021:1-7.
    Low frequency oscillation is an important attribute of human brain activity, and the amplitude of low frequency fluctuation is an effective method to reflect the characteristics of low frequency oscillation, which has been widely used in the treatment of brain diseases and other fields. However, due to the low accuracy of the current analysis methods for low frequency signal extraction of ALFF, we propose the Fourier-based synchrosqueezing transform, which is often used in the field of (...)
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  33.  28
    Identifying the Epileptogenic Zone With the Relative Strength of High-Frequency Oscillation: A Stereoelectroencephalography Study.Lei Qi, Xing Fan, Xiaorong Tao, Qi Chai, Kai Zhang, Fangang Meng, Wenhan Hu, Lin Sang, Xiaoli Yang & Hui Qiao - 2020 - Frontiers in Human Neuroscience 14:543768.
    Background High-frequency oscillation (HFO) represents a promising biomarker of epileptogenicity. However, the significant interindividual differences among patients limit its application in clinical practice. Here, we applied and evaluated an individualized, frequency-based approach of HFO analysis in stereoelectroencephalography (SEEG) data for localizing the epileptogenic zones (EZs). Methods Clinical and SEEG data of 19 patients with drug-resistant focal epilepsy were retrospectively analyzed. The individualized spectral power of all signals recorded by electrode array, i.e., the relative strength of HFO, was computed (...)
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  34.  21
    BCI-Based Consumers' Choice Prediction From EEG Signals: An Intelligent Neuromarketing Framework.Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan, Syed Ferhat Anwar, Farhana Sarker & Khondaker A. Mamun - 2022 - Frontiers in Human Neuroscience 16:861270.
    Neuromarketing relies on Brain Computer Interface (BCI) technology to gain insight into how customers react to marketing stimuli. Marketers spend about$750 billion annually on traditional marketing camping. They use traditional marketing research procedures such as Personal Depth Interviews, Surveys, Focused Group Discussions, and so on, which are frequently criticized for failing to extract true consumer preferences. On the other hand, Neuromarketing promises to overcome such constraints. This work proposes a machine learning framework for predicting consumers' purchase intention (PI) and affective (...)
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  35.  17
    The Influence of the Modulation Index on Frequency-Modulated Steady-State Visual Evoked Potentials.Alexander M. Dreyer, Benjamin L. A. Heikkinen & Christoph S. Herrmann - 2022 - Frontiers in Human Neuroscience 16.
    Based on increased user experience during stimulation, frequency-modulated steady-state visual evoked potentials have been suggested as an improved stimulation method for brain-computer interfaces. Adapting such a novel stimulation paradigm requires in-depth analyses of all different stimulation parameters and their influence on brain responses as well as the user experience during the stimulation. In the current manuscript, we assess the influence of different values for the modulation index, which determine the spectral distribution in the stimulation signal on FM-SSVEPs. We (...)
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  36.  23
    Time-Order Representation Based Method for Epoch Detection from Speech Signals.Ram Bilas Pachori & Pooja Jain - 2012 - Journal of Intelligent Systems 21 (1):79-95.
    . Epochs present in the voiced speech are defined as time instants of significant excitation of the vocal tract system during the production of speech. Nonstationary nature of excitation source and vocal tract system makes accurate identification of epochs a difficult task. Most of the existing methods for epoch detection require prior knowledge of voiced regions and a rough estimation of pitch frequency. In this paper, we propose a novel method that relies on time-order representation based on short-time Fourier–Bessel (...)
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  37.  16
    The Use of Deep Learning-Based Intelligent Music Signal Identification and Generation Technology in National Music Teaching.Hui Tang, Yiyao Zhang & Qiuying Zhang - 2022 - Frontiers in Psychology 13.
    The research expects to explore the application of intelligent music recognition technology in music teaching. Based on the Long Short-Term Memory network knowledge, an algorithm model which can distinguish various music signals and generate various genres of music is designed and implemented. First, by analyzing the application of machine learning and deep learning in the field of music, the algorithm model is designed to realize the function of intelligent music generation, which provides a theoretical basis for relevant research. Then, by (...)
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  38.  18
    A Hidden Chaotic Attractor with an Independent Amplitude-Frequency Controller.Yousuf Islam, Chunbiao Li, Yicheng Jiang, Xu Ma & Akif Akgul - 2022 - Complexity 2022:1-11.
    In this paper, a three-dimensional chaotic system with a line equilibrium is studied, in which a single nonbifurcation parameter is used to control the amplitude and frequency. A variety of chaotic signals can be modified using the amplitude-frequency control switch. The realization of circuit simulation based on multisim further verifies the theoretical analysis. Finally, the method for encrypting color images is tested, and the process performance is valued. It shows that the novel chaotic oscillation has a promising application (...)
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  39.  26
    A comparison of mental arithmetic performance in time and frequency domains.Anmar Abdul-Rahman - 2022 - Frontiers in Psychology 13.
    The Heisenberg-Gabor uncertainty principle defines the limits of information resolution in both time and frequency domains. The limit of resolution discloses unique properties of a time series by frequency decomposition. However, classical methods such as Fourier analysis are limited by spectral leakage, particularly in longitudinal data with shifting periodicity or unequal intervals. Wavelet transformation provides a workable compromise by decomposing the signal in both time and frequency through translation and scaling of a basis function followed by (...)
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  40.  69
    Upward Shifts in the Internal Representation of Frequency Can Persist Over a 3-Year Period for Cochlear Implant Patients Fit With a Relatively Short Electrode Array.Michael F. Dorman, Sarah C. Natale, Jack H. Noble & Daniel M. Zeitler - 2022 - Frontiers in Human Neuroscience 16.
    Patients fit with cochlear implants commonly indicate at the time of device fitting and for some time after, that the speech signal sounds abnormal. A high pitch or timbre is one component of the abnormal percept. In this project, our aim was to determine whether a number of years of CI use reduced perceived upshifts in frequency spectrum and/or voice fundamental frequency. The participants were five individuals who were deaf in one ear and who had normal hearing (...)
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  41.  54
    Poor recall of eye-movement signals from Stage 2 compared to REM sleep: Implications for models of dreaming.Russell Conduit, Sheila Gillard Crewther & Grahame Coleman - 2004 - Consciousness and Cognition 13 (3):484-500.
    An ongoing assumption made by sleep researchers is that since dreams are more often recalled on awakening from rapid eye movement sleep, dreams must occur more often during this stage of sleep. An alternative hypothesis is that cognition occurs throughout sleep, but the recall of this mentation differs on awakening. When a dream is not reported on awakening, there is no method of establishing whether it did not happen or was forgotten. The aim of the present study was to investigate (...)
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  42.  52
    Exploring Top Management Language for Signals of Possible Deception: The Words of Satyam’s Chair Ramalinga Raju. [REVIEW]Russell Craig, Tony Mortensen & Shefali Iyer - 2013 - Journal of Business Ethics 113 (2):333-347.
    This paper explores the potential for systematic scrutiny of the language of top management to reveal signals of possible deceptive conduct. The language used in letters signed by Ramalinga Raju, Chair of the Indian multi-national company Satyam, are analysed using a multi-method quantitative approach. We explore the language in Raju’s annual report letters from 2002–2003 to 2007–2008; and in his letter of January 7, 2009 in which he confessed to deceptive conduct. We analyse the frequency of personal pronouns, the (...)
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  43.  35
    Intrinsic Mode Chirp Multicomponent Decomposition with Kernel Sparse Learning for Overlapped Nonstationary Signals Involving Big Data.Haixin Sun, Yongchun Miao & Jie Qi - 2018 - Complexity 2018:1-15.
    We focus on the decomposition problem for nonstationary multicomponent signals involving Big Data. We propose the kernel sparse learning, developed for the T-F reassignment algorithm by the path penalty function, to decompose the instantaneous frequencies ridges of the overlapped multicomponent from a time-frequency representation. The main objective of KSL is to minimize the error of the prediction process while minimizing the amount of training samples used and thus to cut the costs interrelated with the training sample collection. The IFs (...)
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  44.  28
    Intelligent Defect Identification Based on PECT Signals and an Optimized Two-Dimensional Deep Convolutional Network.Baoling Liu, Jun He, Xiaocui Yuan, Huiling Hu, Xuan Zeng, Zhifang Zhu & Jie Peng - 2020 - Complexity 2020:1-18.
    Accurate and rapid defect identification based on pulsed eddy current testing plays an important role in the structural integrity and health monitoring of in-service equipment in the renewable energy system. However, in conventional data-driven defect identification methods, the signal feature extraction is time consuming and requires expert experience. To avoid the difficulty of manual feature extraction and overcome the shortcomings of the classic deep convolutional network, such as large memory and high computational cost, an intelligent defect recognition pipeline based (...)
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  45.  6
    Harmonizing Insights: LR-FFT Feature Extraction for Alzheimer’s and Autism Spectrum Disorder Detection in EEG Signals.Nisreen Said Amer, Samir Brahim Belhaouari, Othmane Bouhali & Dr Abdelfatteh E. L. Omri - forthcoming - Evolutionary Studies in Imaginative Culture:382-395.
    Alzheimer’s Disease (AD) and Autism Spectrum Disorder (ASD) represent two distinct but equally impactful challenges in the field of neurology and cognitive health. AD is a degenerative neurological condition characterized by its progressive nature, typically affecting individuals in later stages of life. The hallmark features include cognitive impairment, mem- ory deterioration, and alterations in behavior. In contrast, ASD is a developmental disorder typically diagnosed in childhood, marked by difficulties in social interaction, communication, and repetitive behaviors. This paper explores the potential (...)
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  46.  16
    Two-Stage Hybrid Machine Learning Model for High-Frequency Intraday Bitcoin Price Prediction Based on Technical Indicators, Variational Mode Decomposition, and Support Vector Regression.Samuel Asante Gyamerah - 2021 - Complexity 2021:1-15.
    Due to the inherent chaotic and fractal dynamics in the price series of Bitcoin, this paper proposes a two-stage Bitcoin price prediction model by combining the advantage of variational mode decomposition and technical analysis. VMD eliminates the noise signals and stochastic volatility in the price data by decomposing the data into variational mode functions, while technical analysis uses statistical trends obtained from past trading activity and price changes to construct technical indicators. The support vector regression accepts input from a hybrid (...)
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  47.  16
    Initial Study on Implementation of the Low-Frequency Wave Markers for the Purpose of Diagnostic Tests’ Performance and Neurofeedback Therapy.Aleksandra Kawala-Sterniuk, Barbara Grochowicz, Krystyna Macek-Kamińska, Stepan Ozana, Mariusz Pelc & Magda Zolubak - 2019 - Studies in Logic, Grammar and Rhetoric 60 (1):101-115.
    The paper focuses on automation of signal processing, which also considers analysis of biomedical data, such as EEG. The results of the study prove that this enables a better understanding of signal changes and makes it possible to address some specific disturbances. It also makes it possible to describe the relevant changes in signals mathematically and helps to create markers of various brain disorders. This paper presents the study at the initial stage and focuses on the mathematical markers (...)
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  48.  30
    Orchestrations of consciousness in the universe: Consciousness and electronic music applied to Xenolinguistics and Adnyamathanha aboriginal songs.Willard G. Van De Bogart - 2018 - Technoetic Arts 16 (1):113-131.
    This article deals with the reframing of the concept of universal mediated communication on a global scale. Subjects include the following: the universe has a conscious force field at all its scales, requiring continuous inter-scale communication of information; the field exhibits distinct electromagnetic frequencies associated with the building blocks of life; and advances in the technology of sound production with electronic synthesizers can be applied to study mechanisms of such universal communication. The question being addressed is how electronic synthesizers can (...)
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  49.  64
    (1 other version)Signaling in an Unknown World.Rafael Ventura - 2021 - Erkenntnis:1-21.
    This paper proposes a sender-receiver model to explain two large-scale patterns observed in natural languages: Zipf’s inverse power law relating the frequency of word use and word rank, and the negative correlation between the frequency of word use and rate of lexical change. Computer simulations show that the model recreates Zipf’s inverse power law and the negative correlation between signal frequency and rate of change, provided that agents balance the rates with which they invent new signals (...)
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  50.  38
    Functional organization and restoration of the brain motor-execution network after stroke and rehabilitation.Sahil Bajaj, Andrew J. Butler, Daniel Drake & Mukesh Dhamala - 2015 - Frontiers in Human Neuroscience 9:134070.
    Multiple cortical areas of the human brain motor system interact coherently in the low frequency range (< 0.1 Hz), even in the absence of explicit tasks. Following stroke, cortical interactions are functionally disturbed. How these interactions are affected and how the functional organization is regained from rehabilitative treatments as people begin to recover motor behaviors has not been systematically studied. We recorded the intrinsic functional magnetic resonance imaging (fMRI) signals from 30 participants: 17 young healthy controls and 13 aged (...)
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