Results 31 to 40 of about 17,540,816 (185)

Gas Reservoir Detection Using Mixed Components Short Time Fourier Transform (MC-STFT) as a new attribute

, 2023
Abstract Identification of gas reservoirs as a main natural resource due to its economic importance has always been one of the most important issues in research studies in the oil and gas field. Accurate localization of a gas reservoir through seismic data has been broadly studied.
Ali Jalali, Majid Bagheri
openaire   +1 more source

Simulating the extraction of signal parameters and spectrograms for non-stationary NMR signals [PDF]

Magnetic Resonance
Free induction decay (FID) signals in nuclear magnetic resonance (NMR) spectroscopy are commonly analyzed using the fast Fourier transform (FFT). This simulation study evaluates complementary methods for short or non-stationary FID signals in which ...
J. Chen
doaj   +1 more source

Short-time Fourier transform and superoscillations [PDF]

In this paper we investigate new results on the theory of superoscillations using time-frequency analysis tools and techniques such as the short-time Fourier transform (STFT) and the Zak transform.
Alpay D., Diki K., De Martino A., Struppa D. C.   +3 more
core   +5 more sources

An Experimental Study of the Effects of Cylinder Lubricating Oils on the Vibration Characteristics of a Two-Stroke Low-Speed Marine Diesel Engine

Polish Maritime Research, 2023
Two-stroke, low-speed diesel engines are widely used in large ships due to their good performance and fuel economy. However, there have been few studies of the effects of lubricating oils on the vibration of two-stroke, low-speed diesel engines.
Wu Gang, Jiang Guodong, Chen Changsheng, Jiang Guohe, Pu Xigang, Chen Biwen   +5 more
doaj   +1 more source

Short Time Fourier Transform (STFT) sebagai Feature Extraction Deteksi Kerusakan Inner Race Bearing Motor Induksi Secara Realtime Menggunakan Sinyal Suara

CYCLOTRON, 2023
Motor induksi merupakan motor listrik yang dapat mengubah energi listrik menjadi energi mekanik. Motor induksi banyak digunakan didalam dunia industri sebagai penggerak utama karena memiliki tingkat kehandalan yang tinggi, perawatan yang mudah, konstruskisnya sederhana dan harganya murah.
Iradiratu Diah Prahmana Karyatanti, Belly Yan Dewantara, Fitrya Salsabillah   +2 more
openaire   +1 more source

Analisis Getaran Displacement Drum Roller Menggunakan FFT dan STFT

Jurnal Teknik Mesin, 2023
Drum Roller adalah mesin yang dirancang untuk pengujian ketahanan ban mobil setelah proses produksi. Peralatan  berputar, dan realisasi diagnosis waktu nyata dari kesalahan getaran frekuensi umum sangat penting untuk memantau kondisi Drum Roller. Getaran
Ilhamullah Ilhamullah, Dedik Romahadi, Rikko Putra Youlia   +2 more
doaj   +1 more source

Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition

Advanced Intelligent Systems, EarlyView.
A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki, Shusuke Yamakoshi, Reitaro Yoshida, Yutaka Isoda, Tamami Takano, Yuji Isano, Yusuke Miyake, Kentaro Kuribayashi, Hiroki Ota   +8 more
wiley   +1 more source

Energy-Period Profiles of Brain Networks in Group fMRI Resting-State Data: A Comparison of Empirical Mode Decomposition With the Short-Time Fourier Transform and the Discrete Wavelet Transform

Frontiers in Neuroscience, 2021
Traditionally, functional networks in resting-state data were investigated with linear Fourier and wavelet-related methods to characterize their frequency content by relying on pre-specified frequency bands.
Dietmar Cordes, Dietmar Cordes, Muhammad F. Kaleem, Zhengshi Yang, Xiaowei Zhuang, Tim Curran, Karthik R. Sreenivasan, Virendra R. Mishra, Rajesh Nandy, Ryan R. Walsh   +9 more
doaj   +1 more source

A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis

Advanced Intelligent Systems, EarlyView.
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen, Yiyu Gui, Guibo Luo, Yuchao Yang   +3 more
wiley   +1 more source

Expectation-maximisation for speech source separation using convolutive transfer function

CAAI Transactions on Intelligence Technology, 2019
This study addresses the problem of under-determined speech source separation from multichannel microphone signals, i.e. the convolutive mixtures of multiple sources. The time-domain signals are first transformed to the short-time Fourier transform (STFT)
Xiaofei Li, Laurent Girin, Radu Horaud
doaj   +1 more source