Relevant bibliographies by topics / Frequency domain decomposition (FDD)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Frequency domain decomposition (FDD)'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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

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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.

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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.
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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.

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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.
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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.

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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
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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.

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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
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Dissertations / Theses on the topic "Frequency domain decomposition (FDD)"

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Borges, Adailton Silva. "Análise modal baseada apenas na resposta : decomposição no domínio da frequência /." Ilha Solteira : [s.n.], 2006. http://hdl.handle.net/11449/94561.

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Orientador: João Antonio Pereira<br>Banca: Gilberto Pechoto de Melo<br>Banca: Sérgio Sartori<br>Resumo: O presente trabalho propõe o estudo e implementação de uma metodologia para a estimação dos parâmetros modais de estruturas utilizando uma técnica de identificação baseada apenas na resposta do modelo, denominada Decomposição no Domínio da Freqüência (DDF). Para tal são abordados os conceitos básicos envolvidos na análise modal, análise modal baseada apenas na resposta e métodos de identificação. A formulação do algoritmo é baseada na decomposição da matriz densidade espectral de potência ut
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Borges, Adailton Silva [UNESP]. "Análise modal baseada apenas na resposta: decomposição no domínio da frequência." Universidade Estadual Paulista (UNESP), 2006. http://hdl.handle.net/11449/94561.

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Made available in DSpace on 2014-06-11T19:27:14Z (GMT). No. of bitstreams: 0 Previous issue date: 2006-05-17Bitstream added on 2014-06-13T20:35:25Z : No. of bitstreams: 1 borges_as_me_ilha.pdf: 1848055 bytes, checksum: baddb0e3ae6ff7e75ac2a367efd5a7a3 (MD5)<br>Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)<br>O presente trabalho propõe o estudo e implementação de uma metodologia para a estimação dos parâmetros modais de estruturas utilizando uma técnica de identificação baseada apenas na resposta do modelo, denominada Decomposição no Domínio da Freqüência (DDF). Para tal são a
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Grundström, Ulrika. "Operational Modal Analysis of the Stockholm Waterfront Congress Centre." Thesis, KTH, Bro- och stålbyggnad, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-36361.

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Lu, Jiaqing. "Numerical Modeling and Computation of Radio Frequency Devices." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1543457620064355.

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Freitas, Thiago Caetano de. "Identificação de parâmetros modais utilizando apenas as respostas da estrutura : identificação estocástica de subespaço e decomposição no domínio da frequência /." Ilha Solteira : [s.n.], 2008. http://hdl.handle.net/11449/94532.

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Orientador: João Antonio Pereira<br>Banca: Luiz de Paula do Nascimento<br>Banca: Mário Francisco Mucheroni<br>Resumo: Este trabalho apresenta o estudo, a implementação e a aplicação de duas técnicas de identificação de parâmetros modais utilizando apenas as respostas da estrutura, denominadas: Identificação Estocástica de Subespaço (IES) e Decomposição no Domínio da Freqüência (DDF). A IES é baseada na Decomposição em Valores Singulares (DVS) da projeção ortogonal do espaço das linhas das saídas futuras no espaço das linhas das saídas passadas. Uma vez realizada a DVS da projeção ortogonal é p
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Correia, Daniel Santos de Quadros. "Análise modal de bombas de cavidades progressivas." Escola Politécnica /Instituto de Matemática, 2017. http://repositorio.ufba.br/ri/handle/ri/22926.

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Submitted by Marcio Filho (marcio.kleber@ufba.br) on 2017-06-02T13:18:48Z No. of bitstreams: 1 Dissertacao - Daniel Correia.pdf: 2103439 bytes, checksum: 21998777742f6bb17677f65b32158289 (MD5)<br>Approved for entry into archive by Vanessa Reis (vanessa.jamile@ufba.br) on 2017-06-08T11:07:45Z (GMT) No. of bitstreams: 1 Dissertacao - Daniel Correia.pdf: 2103439 bytes, checksum: 21998777742f6bb17677f65b32158289 (MD5)<br>Made available in DSpace on 2017-06-08T11:07:45Z (GMT). No. of bitstreams: 1 Dissertacao - Daniel Correia.pdf: 2103439 bytes, checksum: 21998777742f6bb17677f65b32158289 (MD5)<br>O
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Freitas, Thiago Caetano de [UNESP]. "Identificação de parâmetros modais utilizando apenas as respostas da estrutura: identificação estocástica de subespaço e decomposição no domínio da frequência." Universidade Estadual Paulista (UNESP), 2008. http://hdl.handle.net/11449/94532.

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Made available in DSpace on 2014-06-11T19:27:14Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-07-30Bitstream added on 2014-06-13T19:55:34Z : No. of bitstreams: 1 freitas_tc_me_ilha.pdf: 1484818 bytes, checksum: 9f0ca1d5825d93918e44fc9b31aae513 (MD5)<br>Agência Nacional de Energia Elétrica (ANEEL)<br>Este trabalho apresenta o estudo, a implementação e a aplicação de duas técnicas de identificação de parâmetros modais utilizando apenas as respostas da estrutura, denominadas: Identificação Estocástica de Subespaço (IES) e Decomposição no Domínio da Freqüência (DDF). A IES é baseada na
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Pop, Miroslav. "Ověřování věrohodnosti měřicí metody z oblasti modální analýzy." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-401587.

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This diploma thesis deals with the issue of operational modal analysis, which is one of the newer areas of structural dynamics that makes it possible to estimate modal properties of structures directly during their operation. The aim of this work is to create theoretical basis of operational modal analysis, more specifically of Frequeny Domain Decomposition method. Furthermore, apply this method to a selected structure and verify the achieved results using computational modelling and experimental modal analysis. The technique of dividing the experiment to separate measurements using reference
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Sodomka, Tomáš. "Analýza modálního tlumení strojní součásti pomocí metody OMA." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443767.

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In one of the first hours of study at the Institute of Mechanics of Bodies, Mechatronics and Biomechanics, the author of this work received three basic recommendations regarding measurement: 1) Do not measure! 2) If you measure, do not repeat the measurement!! 3) If you repeat the measurement, do not compare the measurements!!! However, this thesis boldly violates all three recommendations. In the introductory theoretical part, it briefly introduces the vibration of multi-degree of freedom damped systems and describes experimental ways of determining the modal damping. It also summarizes the O
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Fiorilli, Luca. "Identificazione strutturale mediante l’algoritmo "Stochastic Subspace Identification - SSI"." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Il presente elaborato affronta il problema del rilevamento dei danni strutturali nell’ambito dello Structural Health Monitoring (SHM) attraverso l’identificazione delle caratteristiche dinamiche delle strutture e con il solo utilizzo di vibrazioni ambientali. Questa procedura pertiene all’Operational Modal Analysis (OMA), campo dell’ingegneria che, tenendo conto della sola risposta del sistema senza conoscerne l’input, cattura i segnali nel dominio del tempo o della frequenza e identifica i parametri modali del sistema: frequenze naturali, indici di smorzamento e forme modali. Il successo di o
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Books on the topic "Frequency domain decomposition (FDD)"

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Congendo, Marco, and Fernando H. Lopes da Silva. Event-Related Potentials. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0039.

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Event-related potentials (ERPs) can be elicited by a variety of stimuli and events in diverse conditions. This chapter covers the methodology of analyzing and quantifying ERPs in general. Basic models (additive, phase modulation and resetting, potential asymmetry) that account for the generation of ERPs are discussed. The principles and requirements of ensemble time averaging are presented, along with several univariate and multivariate methods that have been proposed to improve the averaging procedure: wavelet decomposition and denoising, spatial, temporal and spatio-temporal filtering. We em
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Book chapters on the topic "Frequency domain decomposition (FDD)"

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Van, Phuoc Nguyen. "Building Structure Parameter Identification Using the Frequency Domain Decomposition (FDD) Method." In AETA 2015: Recent Advances in Electrical Engineering and Related Sciences. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27247-4_72.

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Copeland, Dylan, Michael Kolmbauer, and Ulrich Langer. "Domain Decomposition Solvers for Frequency-Domain Finite Element Equations." In Lecture Notes in Computational Science and Engineering. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11304-8_34.

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Alon, David Lou, and Boaz Rafaely. "Spatial Decomposition by Spherical Array Processing." In Parametric Time-Frequency Domain Spatial Audio. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119252634.ch2.

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Mitrou, N. M., G. I. Stassinopoulos, and E. N. Protonotarious. "Frequency-Domain Separable Decomposition of 2-Dimensional Systems." In Parallel Processing Techniques for Simulation. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5218-1_8.

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Amador, Sandro, Martin Ørum, Tobias Friis, and Rune Brincker. "Application of Frequency Domain Decomposition Identification Technique to Half Spectral Densities." In Topics in Modal Analysis & Testing, Volume 9. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74700-2_39.

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Graham, Ivan G., Euan A. Spence, and Eero Vainikko. "Recent Results on Domain Decomposition Preconditioning for the High-Frequency Helmholtz Equation Using Absorption." In Modern Solvers for Helmholtz Problems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28832-1_1.

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Abdelghani, Maher, Morteza Ghalishooyan, and Ahmad Shooshtari. "A Comparative Assessment of In-Operation Modal Analysis and Frequency Domain Decomposition Algorithm Using Simulated Data." In Applied Condition Monitoring. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41459-1_21.

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Torbol, Marco, and Chung Yun. "Real time frequency domain decomposition for structural health monitoring." In Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures. CRC Press, 2014. http://dx.doi.org/10.1201/b16387-663.

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Liu, Zhe, Mee Loong Yang, and Wei Qi Yan. "A Framework for Image Encryption on Frequency Domain." In Exploring Security in Software Architecture and Design. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6313-6.ch010.

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In this chapter, the authors propose an improved image encryption algorithm based on digital watermarking. The algorithm combines discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) together in a DWT-DCT-SVD framework to improve the robust watermarking technique. The secret image is embedded into both high-frequency and low-frequency sub-bands of the host image; this makes it difficult to be attacked in all the sub-bands. To reduce the size of a secret key, the authors use a logistic map to generate random images so as to replace the host images. They tested the algorithm by using five types of attacks and the results indicate that the proposed algorithm has higher robustness than traditional chaotic scrambling method and the DRPE method. It shows strong resilience against the five types of attacks as well as statistical attacks.
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Liu, Zhe, Mee Loong Yang, and Wei Qi Yan. "A Framework for Image Encryption on Frequency Domain." In Research Anthology on Artificial Intelligence Applications in Security. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7705-9.ch016.

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In this chapter, the authors propose an improved image encryption algorithm based on digital watermarking. The algorithm combines discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) together in a DWT-DCT-SVD framework to improve the robust watermarking technique. The secret image is embedded into both high-frequency and low-frequency sub-bands of the host image; this makes it difficult to be attacked in all the sub-bands. To reduce the size of a secret key, the authors use a logistic map to generate random images so as to replace the host images. They tested the algorithm by using five types of attacks and the results indicate that the proposed algorithm has higher robustness than traditional chaotic scrambling method and the DRPE method. It shows strong resilience against the five types of attacks as well as statistical attacks.
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Conference papers on the topic "Frequency domain decomposition (FDD)"

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Shu-hui, Liu, Chang Yong-yu, Yang Yang, Wang Yan-long, and Yang Da-cheng. "A SC-FDE scheme adopting frequency-domain QR decomposition in MIMO system." In 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2009). IEEE, 2009. http://dx.doi.org/10.1109/pimrc.2009.5449829.

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Hwang, Doyun, Sunjoong Kim, and Ho-Kyung Kim. "System Identification of Long-Span Suspended Footbridges." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.1667.

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&lt;p&gt;Long-span suspended footbridges are gaining traction for their low cost, minimum impact to the surrounding environment and landmark value. Without specific guidelines in the general bridge design code governing these structures, there is a need for detailed vibration testing and analysis for individual structures. These structures are highly elastic and light-weighted compared to typical bridges, and thus display unique behaviors that are not generally observed in large-scale cable bridges. Such behaviors include coupled modes and observable change in natural frequency from pedestrian
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Fu, Gen, and Alexandrina Untaroiu. "Development of a Modal Selection Method for Full Strain Field Estimation." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22371.

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Abstract Full field response of a structure is critical for evaluating the performance of large slender structures. Since only several discrete measurements can be acquired during operation, the data expansion method is important for the estimation of the full field responses of the large complex structure. In previous studies, modal transformation methods were mainly applied in model reduction/expansion and global shape sensing. Compared to other expansion methods, the modal method is straightforward to implement and computational efficient, which makes it the most suitable approach for real-
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Liang, Yang, and Brian Feeny. "The Modal Decomposition in the Frequency Domain." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70989.

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A frequency domain decomposition method is formulated to extract modal information of multi-degree-of-freedom systems. Previously, state-variable modal decomposition (SVMD), smooth orthogonal decomposition (SOD), and also proper orthogonal decomposition (POD), have used time domain signals for modal decomposition. Analysis shows that similar formulas can be obtained in the frequency domain, with eigenvalues as the resonance frequencies, and the eigenvectors as the inverse of the linear normal modes (LNMs). The method can be expressed in symmetric or non-symmetric eigenvalue problem format. The
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Chen, Weijun, Kaitai Chen, and Ke-shu Xu. "Decomposition of image in space-frequency joint domain." In International Conference on Holography and Optical Information Processing, edited by Guoguang Mu, Guofan Jin, and Glenn T. Sincerbox. SPIE, 1996. http://dx.doi.org/10.1117/12.263102.

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Agarwal, Kanak. "Frequency domain decomposition of layouts for double dipole lithography." In the 47th Design Automation Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1837274.1837374.

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Butt, Muhammad O., Jawad F. Al-Asad, Adil H. Khan, and D. N. F. Awang Iskandar. "Ultrasound Image Denoising Using Orthogonal Decomposition in Frequency Domain." In 2019 IEEE 9th International Conference on System Engineering and Technology (ICSET). IEEE, 2019. http://dx.doi.org/10.1109/icsengt.2019.8906441.

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Ben‐Hadj‐Ali, Hafedh, Stéphane Operto, Jean Virieux, and Florent Sourbier. "3D frequency‐domain full‐waveform tomography based on a domain decomposition forward problem." In SEG Technical Program Expanded Abstracts 2008. Society of Exploration Geophysicists, 2008. http://dx.doi.org/10.1190/1.3059277.

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Dolean, V., P. Jolivet, P. Tournier, and S. Operto. "Iterative Frequency-Domain Seismic Wave Solvers Based on Multi-Level Domain-Decomposition Preconditioners." In EAGE 2020 Annual Conference & Exhibition Online. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202011328.

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Guoping Liu and Vaithianathan Venkatasubramanian. "Oscillation monitoring from ambient PMU measurements by Frequency Domain Decomposition." In 2008 IEEE International Symposium on Circuits and Systems - ISCAS 2008. IEEE, 2008. http://dx.doi.org/10.1109/iscas.2008.4542044.

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