Log in

Relevant bibliographies by topics / Frequency domain decomposition (FDD) / Journal articles

To see the other types of publications on this topic, follow the link: Frequency domain decomposition (FDD).

Journal articles on the topic 'Frequency domain decomposition (FDD)'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Frequency domain decomposition (FDD).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Ma, Jun, and Jie Ge. "Ambient Vibration Test of a 18-Story Reinforced Concrete Building." E3S Web of Conferences 53 (2018): 03077. http://dx.doi.org/10.1051/e3sconf/20185303077.

Full text

Abstract:

Ambient vibration analysis of a 18-story reinforced concrete building was carried out to investigate its dynamic properties. Ambient vibration test was conducted on the building, and modal parameters including natural frequencies and damping ratios were identified using the Frequency domain decomposition (FDD) method and the Enhanced frequency domain decomposition (EFDD) method. The results demonstrate that ambient vibration test is a feasible and efficient technique to excite structures, and that FDD and EFDD methods are reliable and efficient techniques for ambient vibration data.

APA, Harvard, Vancouver, ISO, and other styles

2

Elsa María Cárdenas and Luis Ulises Medina. "Non-Parametric Operational Modal Analysis Methods in Frequency Domain: A Systematic Review." International Journal of Engineering and Technology Innovation 11, no. 1 (2021): 34–44. http://dx.doi.org/10.46604/ijeti.2021.6126.

Full text

Abstract:

The objective of this research is to present a systematic review of the non-parametric modal analysis methods in the frequency domain. Peak picking (PP), frequency domain decomposition (FDD), enhanced frequency domain decomposition (EFDD), and frequency–spatial domain decomposition (FSDD) are revisited and didactically illustrated by means of modal identification for a study case proposed in previous researches. Algorithm schemes are illustrated to summarize these frequency domain OMA techniques. Modal frequencies, modal damping ratios, and modal shapes are estimated using the different OMA te

APA, Harvard, Vancouver, ISO, and other styles

3

Kaium, Sk Abdul, Sayed Abul Hossain, and Jafar Sadak Ali. "Modal parameter extraction from measured signal by frequency domain decomposition (FDD) technique." International Journal of Structural Integrity 11, no. 2 (2019): 324–37. http://dx.doi.org/10.1108/ijsi-06-2019-0062.

Full text

Abstract:

Purpose The purpose of this paper is to highlight that the need for improved system identification methods within the domain of modal analysis increases under the impulse of the broadening field of applications, e.g., damage detection and vibro-acoustics, and the increased complexity of today’s structures. Although significant research efforts during the last two decades have resulted in an extensive number of parametric identification algorithms, most of them are certainly not directly applicable for modal parameter extraction. So, based on this, the aim of the present work is to develop a te

APA, Harvard, Vancouver, ISO, and other styles

4

Fadhil Shazmir, M., N. Ayuni Safari, M. Azhan Anuar, A. A.Mat Isa, and Zamri A.R. "Operational Modal Analysis on a 3D Scaled Model of a 3-Storey Aluminium Structure." International Journal of Engineering & Technology 7, no. 4.27 (2018): 78. http://dx.doi.org/10.14419/ijet.v7i4.27.22485.

Full text

Abstract:

Obtaining a good experimental modal data is essential in modal analysis in order to ensure accurate extraction of modal parameters. The parameters are compared with other extraction methods to ascertain its consistency and validity. This paper demonstrates the extraction of modal parameters using various identification algorithms in Operational Modal Analysis (OMA) on a 3D scaled model of a 3-storey aluminium structure. Algorithms such as Frequency Domain Decomposition (FDD), Enhanced Frequency Domain Decomposition (EFDD) and Stochastic Subspace Identification (SSI) are applied in this study t

APA, Harvard, Vancouver, ISO, and other styles

5

Akköse, Mehmet, Hugo C. Gomez, and Maria Q. Feng. "Modal response identification of a highway bridge under traffic loads using frequency domain decomposition (FDD)." Challenge Journal of Structural Mechanics 3, no. 2 (2017): 63. http://dx.doi.org/10.20528/cjsmec.2017.03.009.

Full text

Abstract:

In this study, a four-span, 224m long, post-tensioned concrete box girder bridge supported on single column piers was subject to a series of controlled vehicle tests. Bridge acceleration response datasets were used to study the effect of truck speed and a sudden stop, on the modal identification of the bridge structure. Natural frequencies and mode shapes of the bridge were determined using the frequency domain decomposition technique for all datasets. The passing of the truck rendered difficult to identify the first bridge frequency. Conversely, the vehicle tests improved the identification o

APA, Harvard, Vancouver, ISO, and other styles

6

Lee, Kang Min, Keun Yeong Oh, Rui Li, Liu Yi Chen, and Kang Seok Kim. "The Damage Assessment of Steel Structures Using FDD Method." Advanced Materials Research 831 (December 2013): 145–48. http://dx.doi.org/10.4028/www.scientific.net/amr.831.145.

Full text

Abstract:

Mathematical model through system identification techniques is composed of the development of a variety of back Analysis solutions and signal processing technology reflecting physical damage of structures. This study was in progress divided into analysis and experimental research, and it was simulated by simplified model based on relevant theory of damage locations and damage estimates. Steel structure concerned by the vibration and impact load was researched in order to predict the dynamic behavior. The 3rd floor of one bay steel frame structure was used, because analysis of whole structure i

APA, Harvard, Vancouver, ISO, and other styles

7

Frans, R., and Y. Arfiadi. "Structural system identification of plane frames based on frequency domain decomposition-natural excitation technique (FDD-NExT)." IOP Conference Series: Materials Science and Engineering 615 (October 15, 2019): 012071. http://dx.doi.org/10.1088/1757-899x/615/1/012071.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Iiyama, Kahori, Hitoshi Morikawa, Shiro Sasano, Shojiro Motoyui, Yasuhito Fujita, and Atsushi Mutoh. "Identification of Dynamic Characteristics of a Historical Church in Armenia Using Microtremor Survey Technique." Applied Mechanics and Materials 802 (October 2015): 71–76. http://dx.doi.org/10.4028/www.scientific.net/amm.802.71.

Full text

Abstract:

Historical Churches in Armenia may have many experiences of earthquake ground motion. Thus, some of them have been damaged partially or severely. We had carried out the microtremor survey at a historical churches, which is Cathedral at Etchimiadzin around 5th century, to identify the dynamic characteristic. Four sensors are used simultaneously for the observations and modes of vibration are identified from some methods such as the Fourier spectrum and coherence function, and frequency domain decomposition (FDD) technique.

APA, Harvard, Vancouver, ISO, and other styles

9

Anuar, M. Azhan, A. A. Mat Isa, A. R. Zamri, and M. F. M. Said. "Ambient Response Modal Analysis on a CEM-1 Single-Layer Printed Circuit Board." Applied Mechanics and Materials 393 (September 2013): 683–87. http://dx.doi.org/10.4028/www.scientific.net/amm.393.683.

Full text

Abstract:

Since the level of vibration always depends on the natural frequencies of the system, it is important to know the modal parameters of such system to control failure and provide prevention actions. The demand for structurally reliable Printed Circuit Boards (PCB) has increased as more functions are required from electronic products along with less weight and smaller size. This imposes certain limitations and critical requirements. In this paper, investigation on the dynamic characteristics of CEM-1 Single-layer PCB using Operational Modal Analysis (OMA, or often called Output-Only or Ambient Mo

APA, Harvard, Vancouver, ISO, and other styles

10

Fraraccio, Giancarlo, Adrian Brügger, and Raimondo Betti. "Experimental Studies on Damage Detection in Frame Structures Using Vibration Measurements." Shock and Vibration 17, no. 6 (2010): 697–721. http://dx.doi.org/10.1155/2010/203891.

Full text

Abstract:

This paper presents an experimental study of frequency and time domain identification algorithms and discusses their effectiveness in structural health monitoring of frame structures using acceleration input and response data. Three algorithms were considered: 1) a frequency domain decomposition algorithm (FDD), 2) a time domain Observer Kalman IDentification algorithm (OKID), and 3) a subsequent physical parameter identification algorithm (MLK). Through experimental testing of a four-story steel frame model on a uniaxial shake table, the inherent complications of physical instrumentation and

APA, Harvard, Vancouver, ISO, and other styles

11

Hiatt, Matthew, Annika Mathiasson, John Okwori, et al. "Finite Element Model Updating of a PSC Box Girder Bridge Using Ambient Vibration Test." Advanced Materials Research 168-170 (December 2010): 2263–70. http://dx.doi.org/10.4028/www.scientific.net/amr.168-170.2263.

Full text

Abstract:

In this paper, in-field ambient vibration testing of a highway bridge in South Korea under traffic loadings has been conducted to update its finite element model for future predictive analysis and diagnosis purpose. The research results presented in this paper are outcomes from an international REU (Research Experience for Undergraduates) program in smart structures funded by US-NSF (National Science Foundation) and hosted abroad by the Korean Advanced Institute of Science and Technology (KAIST). The monitoring, modeling, and model updating of civil infrastructures are vital in maintaining new

APA, Harvard, Vancouver, ISO, and other styles

12

Nada, Ayman, and Abdullatif Bishiri. "Floating Frame of Reference formulation for modeling flexible multi-body systems in premise operational conditions." Journal of Vibration and Control 25, no. 21-22 (2019): 2706–20. http://dx.doi.org/10.1177/1077546319867787.

Full text

Abstract:

The Floating Frame of Reference (FFR) formulation is a well-established and reliable method for modeling flexible multi-body systems. The FFR formulation has been adopted for dynamic systems that are characterized by large rotations with relatively small deformations. Many scientific papers have pointed out these characteristics with the scrutiny of the simulation results and comparisons with other modeling techniques. However, the FFR is still enclosed in the theoretical aspects and simulation work and faces difficulties when being applied to practical systems. The crucial point in these diff

APA, Harvard, Vancouver, ISO, and other styles

13

Schleiter, Simon, Okyay Altay, and Sven Klinkel. "EXPERIMENTAL IDENTIFICATION OF AN ELASTO-MECHANICAL MULTI-DEGREE-OF-FREEDOM-SYSTEM USING STOCHASTIC SIGNALS." Acta Polytechnica CTU Proceedings 7 (December 9, 2016): 64. http://dx.doi.org/10.14311/app.2017.7.0064.

Full text

Abstract:

The determination of dynamic parameters are the central points of the system identification of civil engineering structures under dynamic loading. This paper first gives a brief summary of the recent developments of the system identification methods in civil engineering and describes mathematical models, which enable the identification of the necessary parameters using only stochastic input signals. Relevant methods for this identification use Frequency Domain Decomposition (FDD), Autoregressive Moving Average Models (ARMA) and the Autoregressive Models with eXogenous input (ARX). In a first s

APA, Harvard, Vancouver, ISO, and other styles

14

Jusas and Samuvel. "Classification of Motor Imagery Using a Combination of User-Specific Band and Subject-Specific Band for Brain-Computer Interface." Applied Sciences 9, no. 23 (2019): 4990. http://dx.doi.org/10.3390/app9234990.

Full text

Abstract:

The essential task of a Brain-Computer Interface (BCI) is to extract the motor imagery features from Electro-Encephalogram (EEG) signals for classifying the thought process. It is necessary to analyse these obtained signals in both the time domain and frequency domains. It is observed that the combination of multiple algorithms increases the performance of the feature extraction process. This paper identifies combinations that have not been attempted previously and improves the accuracy of the overall process, although other authors implemented different combinations of the techniques. The foc

APA, Harvard, Vancouver, ISO, and other styles

15

Yu, Lei, Guochao Lao, Chunsheng Li, Yang Sun, and Yingying Li. "A Novel Multicomponent PSO Algorithm Applied in FDE–AJTF Decomposition." Electronics 8, no. 1 (2019): 51. http://dx.doi.org/10.3390/electronics8010051.

Full text

Abstract:

The echo of maneuvering targets can be expressed as a multicomponent polynomial phase signal (mc-PPS), which should be processed by time frequency analysis methods, while, as a modified maximum likelihood (ML) method, the frequency domain extraction-based adaptive joint time frequency (FDE–AJTF) decomposition method is an effective tool. However, the key procedure in the FDE–AJTF method is searching for the optimal parameters in the solution space, which is essentially a multidimensional optimization problem with different extremal solutions. To solve the problem, a novel multicomponent partic

APA, Harvard, Vancouver, ISO, and other styles

16

Gao, Haining, and Xianli Liu. "Stability Research Considering Non-Linear Change in the Machining of Titanium Thin-Walled Parts." Materials 12, no. 13 (2019): 2083. http://dx.doi.org/10.3390/ma12132083.

Full text

Abstract:

Aiming to solve the problem whereby the damping process effect is significant and difficult to measure during low-speed machining of titanium alloy thin-walled parts, the ploughing coefficient of the flank face is obtained based on the frequency-domain decomposition (FDD) of the measured vibration signal and the energy balance principle, and then the process-damping prediction model is obtained. Aiming to solve the problem of non-linear change of dynamic characteristics of a workpiece caused by the material removal effect in the machining of titanium alloy thin-walled parts, a prediction model

APA, Harvard, Vancouver, ISO, and other styles

17

Hu, Jun, and Jia-Hua Yang. "Operational Modal Analysis and Bayesian Model Updating of a Coupled Building." International Journal of Structural Stability and Dynamics 19, no. 01 (2018): 1940012. http://dx.doi.org/10.1142/s0219455419400121.

Full text

Abstract:

This paper reports the step-by-step procedures of a full-scale ambient vibration test and the corresponding modal identification and Bayesian structural model updating of a coupled building. The building is characterized as a combination of a main part and a complementary part connected together by corridors in between. Compared with the main part, the volume of the complementary part is much smaller. Therefore, the influence on the dynamic properties of the complementary part from its counterpart is expected. To capture the dynamic properties of the coupled building, a 21-setup ambient vibrat

APA, Harvard, Vancouver, ISO, and other styles

18

Madeira, João, João Guerreiro, Rui Dinis, Paulo Montezuma, and Luís Miguel Campos. "On the Physical Layer Security Characteristics for MIMO-SVD Techniques for SC-FDE Schemes." Sensors 19, no. 21 (2019): 4757. http://dx.doi.org/10.3390/s19214757.

Full text

Abstract:

Multi-Input, Multi-Output (MIMO) techniques are seeing widespread usage in wireless communication systems due to their large capacity gains. On the other hand, security is a concern of any wireless system, which can make schemes that implement physical layer security key in assuring secure communications. In this paper, we study the physical layer security issues of MIMO with Singular Value Decomposition (SVD) schemes, employed along with Single-Carrier with Frequency-Domain Equalization (SC-FDE) techniques. More concretely. the security potential against an unintended eavesdropper is analysed

APA, Harvard, Vancouver, ISO, and other styles

19

Madeira, João, João Guerreiro, Hugo Serra, Rui Dinis, Paulo Montezuma, and Luís Miguel Campos. "A Physical Layer Security Technique for NOMA Systems with MIMO SC-FDE Schemes." Electronics 9, no. 2 (2020): 240. http://dx.doi.org/10.3390/electronics9020240.

Full text

Abstract:

Current wireless communication systems employ Multi-Input, Multi-Output (MIMO) techniques to increase spectral efficiency, at the cost of higher hardware complexity. Most of these systems continue to employ traditional Orthogonal Multiple Access (OMA) schemes, which are suboptimal when compared to Non-Orthogonal Multiple Access (NOMA) schemes. By combining NOMA with MIMO, it is possible to achieve higher spectral efficiencies. However, security in NOMA-MIMO systems remains a problem. In this paper, we study the physical layer security issues of a power based NOMA-MIMO system with a Singular Va

APA, Harvard, Vancouver, ISO, and other styles

20

Jiang, Zheng, Bin Han, Peng Chen, Fengyi Yang, and Qi Bi. "Design of Joint Spatial and Power Domain Multiplexing Scheme for Massive MIMO Systems." International Journal of Antennas and Propagation 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/368463.

Full text

Abstract:

Massive Multiple-Input Multiple-Output (MIMO) is one of the key techniques in 5th generation wireless systems (5G) due to its potential ability to improve spectral efficiency. Most of the existing works on massive MIMO only consider Time Division Duplex (TDD) operation that relies on channel reciprocity between uplink and downlink channels. For Frequency Division Duplex (FDD) systems, with continued efforts, some downlink multiuser MIMO scheme was recently proposed in order to enable “massive MIMO” gains and simplified system operations with limited number of radio frequency (RF) chains in FDD

APA, Harvard, Vancouver, ISO, and other styles

21

Hwang, Jae-Seung, Dae-Kun Kwon, and Ahsan Kareem. "Frequency Domain State Space–Based Mode Decomposition Framework." Journal of Engineering Mechanics 145, no. 7 (2019): 04019051. http://dx.doi.org/10.1061/(asce)em.1943-7889.0001624.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Khalilinia, Hamed, Lu Zhang, and Vaithianathan Venkatasubramanian. "Fast Frequency-Domain Decomposition for Ambient Oscillation Monitoring." IEEE Transactions on Power Delivery 30, no. 3 (2015): 1631–33. http://dx.doi.org/10.1109/tpwrd.2015.2394403.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Amador, Sandro D. R., and Rune Brincker. "Robust multi-dataset identification with frequency domain decomposition." Journal of Sound and Vibration 508 (September 2021): 116207. http://dx.doi.org/10.1016/j.jsv.2021.116207.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Zhang, Wensheng, and Yinyun Dai. "Frequency-domain Elastic wave Simulation Based on the Nonoverlapping Domain Decomposition Method." American Journal of Computational Mathematics 03, no. 03 (2013): 21–26. http://dx.doi.org/10.4236/ajcm.2013.33b004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Kim, Seongjai. "Domain decomposition iterative procedures for solving scalar waves in the frequency domain." Numerische Mathematik 79, no. 2 (1998): 231–59. http://dx.doi.org/10.1007/s002110050339.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Guo-qing YAN, 闫国庆, 杨风暴 Feng-bao YANG, 王肖霞 Xiao-xia WANG, 陶勇 Yong TAO, and 李向燕 Xiang-yan LI. "Fusion Ghost Imaging Method Based on Frequency Domain Decomposition." ACTA PHOTONICA SINICA 49, no. 6 (2020): 610003. http://dx.doi.org/10.3788/gzxb20204906.0610003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Ma, Jun, and Wei Luan. "Modalidentifícation of a building structure by frequency domain decomposition." IOP Conference Series: Materials Science and Engineering 794 (May 15, 2020): 012048. http://dx.doi.org/10.1088/1757-899x/794/1/012048.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Qu, Chun-Xu, Ting-Hua Yi, Hong-Nan Li, and Bin Chen. "Closely spaced modes identification through modified frequency domain decomposition." Measurement 128 (November 2018): 388–92. http://dx.doi.org/10.1016/j.measurement.2018.07.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Khalilinia, Hamed, and Vaithianathan Venkatasubramanian. "Recursive Frequency Domain Decomposition for Multidimensional Ambient Modal Estimation." IEEE Transactions on Power Systems 32, no. 1 (2017): 822–23. http://dx.doi.org/10.1109/tpwrs.2016.2558466.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Osorio, Luana Nobre, Bruno Pereira-Dias, André Bulcão, and Luiz Landau. "Migration deconvolution using domain decomposition." GEOPHYSICS 86, no. 3 (2021): S247—S256. http://dx.doi.org/10.1190/geo2020-0352.1.

Full text

Abstract:

Least-squares migration (LSM) is an effective technique for mitigating blurring effects and migration artifacts generated by limited data frequency bandwidth, incomplete coverage of geometry, source signature, and unbalanced amplitudes caused by complex wavefield propagation in the subsurface. Migration deconvolution (MD) is an image-domain approach for LSM that approximates the Hessian operator using a set of precomputed point spread functions. We have developed a new workflow by integrating the MD and domain decomposition (DD) methods. DD techniques aim to solve large and complex linear syst

APA, Harvard, Vancouver, ISO, and other styles

31

Cao, Jun, and Ru-Shan Wu. "Full-wave directional illumination analysis in the frequency domain." GEOPHYSICS 74, no. 4 (2009): S85—S93. http://dx.doi.org/10.1190/1.3131383.

Full text

Abstract:

Directional illumination analysis based on one-way wave equations has been studied extensively; however, its inherent limitations, e.g., one-way propagation, wide-angle error, and amplitude inaccuracy, can severely hinder its applications for accurate survey design and true-reflection imaging corrections in complex media. We have analyzed the illumination in the frequency domain using full two-way wave propagators considering the extensive computation and huge storage required for time-domain methods, and the fact that the illumination is frequency dependent. This full-wave analysis can provid

APA, Harvard, Vancouver, ISO, and other styles

32

WANG, Zhe, Kai HU, and Baolin YIN. "An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization." IEICE Transactions on Information and Systems E96.D, no. 3 (2013): 731–34. http://dx.doi.org/10.1587/transinf.e96.d.731.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Nita, G. M., M. A. Mahgoub, S. G. Sharyatpanahi, N. C. Cretu, and T. M. El-Fouly. "Higher order statistical frequency domain decomposition for operational modal analysis." Mechanical Systems and Signal Processing 84 (February 2017): 100–112. http://dx.doi.org/10.1016/j.ymssp.2016.07.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Mi, Wen, and Wei Xing Zheng. "Frequency domain identification using adaptive Fourier decomposition method with polynomials." IET Control Theory & Applications 14, no. 12 (2020): 1539–47. http://dx.doi.org/10.1049/iet-cta.2019.0080.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Floch, Oliver, Alexander Sommer, Daniel Klis, Ortwin Farle, and Romanus Dyczij-Edlinger. "An Adaptive Deflation Domain-Decomposition Preconditioner for Fast Frequency Sweeps." IEEE Transactions on Magnetics 52, no. 3 (2016): 1–4. http://dx.doi.org/10.1109/tmag.2015.2463690.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Graham, I. G., E. A. Spence, and E. Vainikko. "Domain decomposition preconditioning for high-frequency Helmholtz problems with absorption." Mathematics of Computation 86, no. 307 (2017): 2089–127. http://dx.doi.org/10.1090/mcom/3190.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Brincker, Rune, Lingmi Zhang, and Palle Andersen. "Modal identification of output-only systems using frequency domain decomposition." Smart Materials and Structures 10, no. 3 (2001): 441–45. http://dx.doi.org/10.1088/0964-1726/10/3/303.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Mainardi, S. "Decomposition of Conditional Variance Persistence through Frequency-Domain Markov Chains." Studies in Economics and Econometrics 29, no. 3 (2005): 111–35. http://dx.doi.org/10.1080/10800379.2005.12106395.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Zhang, Ya Nan, Yong Shou Dai, Jin Jie Ding, Man Man Zhang, and Rong Rong Wang. "An Application of the Frequency-Domain Experience Mode Decomposition to Enhance Deconvolution Results." Applied Mechanics and Materials 397-400 (September 2013): 2120–23. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2120.

Full text

Abstract:

To improve the resolution of the seismic section after deconvolution, a method based on frequency-domain experience mode decomposition was proposed. Empirical mode decomposition (EMD) method is usually used to analyze the time domain non-stationary signal, in order to better recover original reflection coefficient sequence, empirical mode decomposition was implemented for frequency-domain amplitude spectrum. Through the different characteristics between the equivalent filter amplitude after deconvolution and reflection coefficient sequence amplitude in frequency-domain, the real reflection coe

APA, Harvard, Vancouver, ISO, and other styles

40

A. Rahim, A., C. H. Chin, S. Abdullah, S. S. K. Singh, M. Z. Nuawi, and F. H. A. Hassan. "Characterization of Wavelet Decomposition Strain Signal Using the K-Mean Clustering Method." International Journal of Engineering & Technology 7, no. 3.17 (2018): 158. http://dx.doi.org/10.14419/ijet.v7i3.17.16642.

Full text

Abstract:

This paper aims to study the characterisation of time-frequency domain to analyse the fatigue strain signal due to weaknesses in time domain and frequency domain approaches. The objectives were to determine the behaviour of strain signal, characterise the fatigue life of strain signal and validate the fatigue life in time-frequency domain. The strain signal was obtained using data acquisition devices and strain gauges on two types of road condition including highway and industrial area. The acquired signals were analysed with time domain, frequency domain and time-frequency domain approaches.

APA, Harvard, Vancouver, ISO, and other styles

41

Lu, Chia Liang, and Pei Hwa Huang. "Power System Stability Study with Empirical Mode Decomposition." Advanced Materials Research 732-733 (August 2013): 905–8. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.905.

Full text

Abstract:

Low frequency oscillations (LFO) reflect the damping and the stability of a power system and is essentially non-stationary. The LFO is a composite response of various oscillation modes and of which the frequency may be changing with time; thus, direct analysis of such time-domain responses is difficult. The main purpose of this paper is to apply the method of empirical mode decomposition (EMD) to the study of power system stability. First the method of EMD is to expand the time-domain responses under study into multiple intrinsic mode functions (IMFs). Then the 2D time-frequency information in

APA, Harvard, Vancouver, ISO, and other styles

42

Stoica, Petre, Niclas Sandgren, Yngve Selén, Leentje Vanhamme, and Sabine Van Huffel. "Frequency-domain method based on the singular value decomposition for frequency-selective NMR spectroscopy." Journal of Magnetic Resonance 165, no. 1 (2003): 80–88. http://dx.doi.org/10.1016/s1090-7807(03)00188-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Zhang, Mingwei, Qingbin Meng, Shengdong Liu, and Hideki Shimada. "A Synthetic Solution for Identification and Extraction of the Effective Microseismic Wave Component Using Decomposition on Time, Frequency, and Wavelet Coefficient Domains." Shock and Vibration 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/3875170.

Full text

Abstract:

To reduce noise components from original microseismic waves, a comprehensive fine signal processing approach using the integrated decomposition analysis of the wave duration, frequency spectrum, and wavelet coefficient domain was developed and implemented. Distribution regularities of the wave component and redundant noise on the frequency spectrum and the wavelet coefficient domain were first expounded. The frequency threshold and wavelet coefficient threshold were determined for the identification and extraction of the effective wave component. The frequency components between the reconstruc

APA, Harvard, Vancouver, ISO, and other styles

44

Alexiev, Kiril M., Teodor G. Toshkov, and Dimiter P. Prodanov. "Self-Similar Decomposition of Digital Signals." Cybernetics and Information Technologies 20, no. 5 (2020): 20–37. http://dx.doi.org/10.2478/cait-2020-0038.

Full text

Abstract:

AbstractTraditionally, the engineers analyze signals in the time domain and in the frequency domain. These signal representations discover different signal characteristics and in many cases, the exploration of a single signal presentation is not sufficient. In the present paper, a new self-similar decomposition of digital signals is proposed. Unlike some well-known approaches, the newly proposed method for signal decomposition and description does not use pre-selected templates such as sine waves, wavelets, etc. It is realized in time domain but at the same time, it contains information about

APA, Harvard, Vancouver, ISO, and other styles

45

MATSUMURA, Yuichi, and Naoki HOSOYA. "Modal Decomposition and Modal Cluster Decomposition on Two-Dimensional Frequency Domain (Sensor Placement Based Realization)." Transactions of the Japan Society of Mechanical Engineers Series C 72, no. 720 (2006): 2485–91. http://dx.doi.org/10.1299/kikaic.72.2485.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Mohammadi, Nader, and Mehrdad Nasirshoaibi. "Modal parameter identification of a three-storey structure using frequency domain techniques FDD and EFDD and time domain technique SSI: experimental studies and simulations." Journal of Vibroengineering 19, no. 4 (2017): 2759–76. http://dx.doi.org/10.21595/jve.2017.17588.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Zhang, Lingmi, Tong Wang, and Yukio Tamura. "A frequency–spatial domain decomposition (FSDD) method for operational modal analysis." Mechanical Systems and Signal Processing 24, no. 5 (2010): 1227–39. http://dx.doi.org/10.1016/j.ymssp.2009.10.024.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Zhuo, Yang, Guo Li-li, and Wan Jian. "Frequency Domain Subspace Decomposition Realization of UWB Synchronization Based on PSO." Information Technology Journal 10, no. 6 (2011): 1234–39. http://dx.doi.org/10.3923/itj.2011.1234.1239.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Antonini, Giulio, and Daniele Romano. "Efficient Frequency-Domain Analysis of PEEC Circuits Through Multiscale Compressed Decomposition." IEEE Transactions on Electromagnetic Compatibility 56, no. 2 (2014): 454–65. http://dx.doi.org/10.1109/temc.2013.2281393.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Shahjehan, Waleed, Syed Shah, Jaime Lloret, and Antonio Leon. "A Low Rank Channel Estimation Scheme in Massive Multiple-Input Multiple-Output." Symmetry 10, no. 10 (2018): 507. http://dx.doi.org/10.3390/sym10100507.

Full text

Abstract:

Aiming at the problem of computational complexity of channel estimation, this paper proposes a low-complexity block matching pursuit (BMP) algorithm based on antenna grouping and block sparsity for frequency division duplex (FDD) massive Multiple-input Multiple-output orthogonal frequency division multiplexing (OFDM) systems. The system coherence time may be exceeded as a result of time consumption when adopting an orthogonal pilot symbol in the time domain. To solve this problem, an antenna grouping transmission scheme is proposed to reduce the total channel estimation time by sacrificing the

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!