Results 31 to 40 of about 316,193 (316)

Frequency analyses of human voice using fast Fourier transform

open access: yesIraqi Journal of Physics, 2019
Quantitative analysis of human voice has been subject of interest and the subject gained momentum when human voice was identified as a modality for human authentication and identification. The main organ responsible for production of sound is larynx and
Jinan F. Mahdi
doaj   +1 more source

Abnormal Synchronization Between Cortical Delta Power and Ripples in Hippocampal Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Discriminating between epileptogenic and physiological ripples in the hippocampus is important for identifying epileptogenic (EP) zones; however, distinguishing these ripples on the basis of their waveforms is difficult. We hypothesized that the nocturnal synchronization of hippocampal ripples and cortical delta power could be used ...
Takamitsu Iwata   +10 more
wiley   +1 more source

FFT-Based Simultaneous Calculations of Very Long Signal Multi-Resolution Spectra for Ultra-Wideband Digital Radio Frequency Receiver and Other Digital Sensor Applications

open access: yesSensors
The discrete Fourier transform (DFT) is the most commonly used signal processing method in modern digital sensor design for signal study and analysis.
Chen Wu, Michael Low
doaj   +1 more source

Large-Scale Discrete Fourier Transform on TPUs

open access: yesIEEE Access, 2021
In this work, we present two parallel algorithms for the large-scale discrete Fourier transform (DFT) on Tensor Processing Unit (TPU) clusters. The two parallel algorithms are associated with two DFT formulations: one formulation, denoted as KDFT, is ...
Tianjian Lu   +4 more
doaj   +1 more source

A Formalisation of a Fast Fourier Transform [PDF]

open access: yes, 2022
This notes explains how a standard algorithm that constructs the discrete Fourier transform has been formalised and proved correct in the Coq proof assistant using the SSReflect extension.
openaire   +2 more sources

Subthalamic Nucleus Oscillatory Characteristics in Meige, Cervical Dystonia and Generalized Dystonia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Deep brain stimulation offers a unique opportunity to record neural activity of the basal ganglia. While much work in dystonia has focused on the globus pallidus internus, expanding research to investigate subthalamic nucleus (STN) activity in various dystonia types is critical to provide a comprehensive understanding of dystonia ...
Zhu Guan‐Yu   +14 more
wiley   +1 more source

Fourier ptychography algorithm based on scaled Fourier transform

open access: yesElectronics Letters, 2021
This letter discusses an alternative Fourier ptychography algorithm based on the scaled fast Fourier transform propagation. The advantage of this scheme is that it enables a zoom‐in capability of the object spectrum and complex pupil within the synthetic
Mojde Hasanzade   +3 more
doaj   +1 more source

Threshold Values of Sleep Spindles Features in Healthy Adults Using Scalp‐EEG and Associations With Sleep Parameters

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sleep spindles are an electrophysiological fingerprint of the sleeping human brain. They can be described in terms of duration, frequency, amplitude, and density, and vary widely according to age and sex. Spindles play a role in sleep and wake functions and are altered in several neurological and psychiatric disorders.
Julien Coelho   +8 more
wiley   +1 more source

Optimized Rheo-optical Measurements Using Fast Fourier Transform and Oversampling

open access: yesApplied Rheology, 2007
Rheo-optics is a method that allows the analysis of optical properties, like birefringence and dichroism under steady and oscillatory shear. It is possible to correlate macroscopic mechanical responses with induced microscopic changes in the material. We
Klein Christopher   +8 more
doaj   +1 more source

Feature Extraction of Electroencephalography Signals Using Fast Fourier Transform

open access: yesCommIT Journal, 2016
This article discusses a method within the area of brain-computer interface. The proposed method is to use the features extracted from the Electroencephalograph signal and a three hidden-layer artificial neural network to map the brain signal features to
Hindarto Hindarto, Sumarno Sumarno
doaj   +1 more source

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