Results 31 to 40 of about 16,901 (243)

MICROTREMOR CHARACTERISTICS ON THE SURFACE OF BRIBIN UNDERGROUND RIVER, GUNUNG SEWU KARST AREA, BASED ON SPECTRAL ANALYSIS, ANALYSIS OF HORIZONTAL TO VERTICAL SPECTRAL RATIO (HVSR) CURVE, AND TIME FREQUENCY ANALYSIS (TFA) [PDF]

, 2016
This research aimed to determine microtremor characteristics in the area pass by Bribin Underground River and around its surface.Microtremor measured on fiveteen points on Bribin Underground Research line using Digital Portable Seismograph tools.
Nugroho Budi, wibowo, Yosaphat, Sumardi, KHOLIS, NURHANAFI   +2 more
core   +2 more sources

Synchrosqueezing Transform Based on Frequency-Domain Gaussian-Modulated Linear Chirp Model for Seismic Time–Frequency Analysis [PDF]

, 2023
The synchrosqueezing transform (SST) has attracted much attention as a post-processing technique since it was proposed. In recent years, improvements to SST have been made.
Pingping Bing, Li Zhu, Jun Zhou, Guiping Zhu, Binsheng He, Wei Liu, Haoqi Zhang   +6 more
core   +1 more source

High-resolution time-frequency analysis of somatosensory evoked potential components by means of matching pursuit [PDF]

, 2008
This paper proposes to apply a high-resolution time-frequency analysis (TFA) algorithm, the matching pursuit (MP), to extract and identify detail components of somatosensory evoked potential (SEP) signals.
Y. Hu, Hu, Y, Z. G. Zhang, S. C. Chan, Zhang, ZG, Luk, KDK, Chan, SC, K. D. K. Luk   +7 more
core   +1 more source

High-Order Time-Reassigned Synchrosqueezing Transform and Its Application in Tight Sandstone Gas Reservoir

IEEE Access
Time-frequency analysis (TFA) can provide relevant information about subsurface reservoirs, which is essential in reservoir identification. Traditional TFA methods are limited by resolution, resulting in unreliable seismic interpretation.
Qiuxiang Zhu, Qifei Li, Yutao Xie, Hui Chen, Yiting Mao   +4 more
doaj   +1 more source

Time-frequency component analysis of somatosensory evoked potentials in rats [PDF]

, 2009
Background Somatosensory evoked potential (SEP) signal usually contains a set of detailed temporal components measured and identified in a time domain, giving meaningful information on physiological mechanisms of the nervous system.
Chan Shing-Chow, Shing-Chow Chan, Luk Keith, Jun-Lin Yang, Chan, SC, Keith Luk, Yang, JL, Yong Hu, Zhi-Guo Zhang, Hu, Y, Yang Jun-Lin, Hu Yong, Zhang, ZG, Luk, KDK, Zhang Zhi-Guo   +14 more
core   +1 more source

Effective Defect Features Extraction for Laser Ultrasonic Signal Processing by Using Time–Frequency Analysis

IEEE Access, 2019
The time-frequency analysis (TFA) by wavelet transform is adopted for the laser ultrasonic signal processing, and the effective features extraction of the material defect is obtained.
Zhenyu Zhu, Hao Sui, Lei Yu, Hongna Zhu, Jinli Zhang, Jianping Peng   +5 more
doaj   +1 more source

Comparison of time-frequency distribution techniques for analysis of spinal somatosensory evoked potential [PDF]

, 2001
Spinal somatosensory evoked potential (SSEP) has been employed to monitor the integrity of the spinal cord during surgery. To detect both temporal and spectral changes in SSEP waveforms, an investigation of the application of time-frequency analysis (TFA)
Holmes, A, Leong, JCY, Hu, Y, Luk, KDK, Lu, WW   +4 more
core   +1 more source

Multidimensional Signal Analysis [PDF]

, 2021
This chapter discusses signal characteristics in multiple domains, leading to the concept of multidimensional signal analysis. Multidimensional signal analysis is referred for analyzing the received radio signal from multiple dimensions jointly or ...
Hüseyin Arslan, Arslan, Hüseyin
core   +1 more source

Integration of MRI and somatosensory evoked potentials facilitate diagnosis of spinal cord compression

Scientific Reports, 2023
This study aimed to integrate magnetic resonance imaging (MRI) and related somatosensory evoked potential (SSEP) features to assist in the diagnosis of spinal cord compression (SCC).
Shu-Pin Sun, Chun-Ren Phang, Shey-Cherng Tzou, Chang-Mu Chen, Li-Wei Ko   +4 more
doaj   +1 more source

Robust multisynchrosqueezing transform time frequency technologies with application to fault diagnosis

International Journal of Electrical Power & Energy Systems
Time-frequency analysis (TFA) methods serve as effective tools for analyzing stationary signals.Multisynchrosqueezing Transform (MSST) represents a novel post-processing TFA technology designed for pulse-like signals or noisy environments, aiming to ...
Haibin Wang, Junbo Long, Changshou Deng, Youxue Zhou   +3 more
doaj   +1 more source