Relevant bibliographies by topics / Wavelet technique

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

Academic literature on the topic 'Wavelet technique'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Wavelet technique"

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Tran, Hai, and Hirotsugu Inoue. "IMPACT FORCE RECONSTRUCTION USING WAVELET DECONVOLUTION TECHNIQUE." ASEAN Engineering Journal 8, no. 1 (2018): 53–66. http://dx.doi.org/10.11113/aej.v8.15498.

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Reconstruction or deconvolution of impact force history from corresponding impact responses such as strain, acceleration, and displacement has been considered as a useful indirect method for measuring the impact force. However, due to the ill-posed nature of deconvolution problem, impact force is often inaccurately and unstably reconstructed. This paper introduces and applies the deconvolution technique using wavelets as a robust method for reconstructing impact force with the advantageous properties of wavelets. First, an analytical process of impact force reconstruction by using the wavelet
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Tejas, Kishor Patil, and Ajeet B. Bhane Prof. "DETECTION OF CRACKS IN SIMPLY SUPPORTED BEAM BY USING VARIOUS TECHNIQUES: A REVIEW." International Journal of Research – Granthaalayah 3, no. 12 (2017): 129–32. https://doi.org/10.5281/zenodo.848956.

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In this review work the crack detection procedure by using vibration and wavelet technique is discussed. Crack converts the linear problem to nonlinear problem and affects the natural frequency. So in this paper we discussed the various methods to find out cracks on beams like destructive testing and non-destructive testing. Wavelet technique is mathematical method alternative to the non-destructive testing like fast fourier transform and is also provides good result compared to other methods. As in this the wavelets are developed and it is solved by various types like mother wavelet technique
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Enesi, Indrit, Miranda Harizaj, and Betim Çiço. "Implementing Fusion Technique Using Biorthogonal Dwt to Increase the Number of Minutiae in Fingerprint Images." Journal of Sensors 2022 (May 24, 2022): 1–13. http://dx.doi.org/10.1155/2022/3502463.

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Biometric devices identify persons based on the minutiae extracted from fingerprint images. Image quality is very important in this process. Usually, fingerprint images have low quality and in many cases they are obtained in various positions. The paper focuses on increasing minutiae detected number by fusing two fingerprint images obtained in various positions. Biorthogonal wavelets have advantages compared to orthogonal wavelets. Fusion is performed in wavelet domain by implementing biorthogonal wavelet. Terminations and bifurcations are extracted from the original and fused images using lic
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Ergu, Yared Abera. "Medical Image Mixed Denoise using Discrete Multi Wavlet Transform Novel Threshold Method." International Journal of Technology Information and Computer (TIJOTIC) 1, no. 1 (2020): 16–28. https://doi.org/10.5281/zenodo.3888529.

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Generally, most of the<strong> </strong>images are corrupted by noise which is solved by denoising techniques in the image processing.&nbsp; For that single thresholding techniques are used which removes the additive random noise. The Gaussian -Multi Wavelet technique is utilized to denoising the Gaussian noise present in the mammogram image which is an efficient method due to the capability to acquire the signal energies in few transforms value. In order to enhance and the noise present in the digital mammographics image, the novel Multi Wavelet techniques are used in this paper.&nbsp; In the
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Ilango, S. Sudhakar, and V. Seenivasagam. "Wavelet Based Image Compression Using Soft Computing Techniques." Applied Mechanics and Materials 573 (June 2014): 477–82. http://dx.doi.org/10.4028/www.scientific.net/amm.573.477.

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The Wavelet Transform is a multi-resolution transform, that is, it allows a form of time–frequency analysis (or translation–scale in wavelet speak). When using the Fourier transform the result is a very precise analysis of the frequencies contained in the signal, but no information on when those frequencies occurred. The wavelet based image compression algorithms are used widely compared with other conventional compression algorithms. The wavelet coding based on the coefficient selection and sub band level. In this paper we have used two wavelets such as spherical and geometric wavelets. The s
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Patil, TejasKishor, and Ajeet B. Bhane. "DETECTION OF CRACKS IN SIMPLY SUPPORTED BEAM BY USING VARIOUS TECHNIQUES: A REVIEW." International Journal of Research -GRANTHAALAYAH 3, no. 12 (2015): 129–32. http://dx.doi.org/10.29121/granthaalayah.v3.i12.2015.2897.

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In this review work the crack detection procedure by using vibration and wavelet technique is discussed. Crack converts the linear problem to nonlinear problem and affects the natural frequency. So in this paper we discussed the various methods to find out cracks on beams like destructive testing and non-destructive testing. Wavelet technique is mathematical method alternative to the non-destructive testing like fast fourier transform and is also provides good result compared to other methods. As in this the wavelets are developed and it is solved by various types like mother wavelet technique
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TANAKA, NOBUATSU. "A SIMPLE BUT EFFICIENT PRECONDITIONING FOR CONJUGATE GRADIENT POISSON SOLVER USING HAAR WAVELET." International Journal of Wavelets, Multiresolution and Information Processing 04, no. 02 (2006): 273–84. http://dx.doi.org/10.1142/s0219691306001233.

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This paper describes a wavelet-based preconditioning technique for conjugate gradient method for linear systems derived from the Poisson equation. The linear systems solved with a conventional iterative matrix solver resulted in a marked increase in computing time with respect to an increase in grid points. Use of our wavelet-based technique leads to a matrix with a bounded condition number so that computing time is reduced significantly. In this study, one of the simplest wavelets, the Haar wavelet, is used for the purpose of developing a simple but efficient preconditioning algorithm. Simple
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Raath, Kim C., Katherine B. Ensor, Alena Crivello, and David W. Scott. "Denoising Non-Stationary Signals via Dynamic Multivariate Complex Wavelet Thresholding." Entropy 25, no. 11 (2023): 1546. http://dx.doi.org/10.3390/e25111546.

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Over the past few years, we have seen an increased need to analyze the dynamically changing behaviors of economic and financial time series. These needs have led to significant demand for methods that denoise non-stationary time series across time and for specific investment horizons (scales) and localized windows (blocks) of time. Wavelets have long been known to decompose non-stationary time series into their different components or scale pieces. Recent methods satisfying this demand first decompose the non-stationary time series using wavelet techniques and then apply a thresholding method
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Vivek, Suyash Narayan Mishra, and Manoj Kumar. "TAYLOR WAVELET APPROACH FOR THE SOLUTION OF THE FREDHOLM INTEGRO-DIFFERENTIAL EQUATION OF THE SECOND KIND." jnanabha 53, no. 02 (2023): 273–86. http://dx.doi.org/10.58250/jnanabha.2023.53234.

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A Taylor wavelet technique is used to obtain the approximate solution of the Fredholm integro-differential equations (IDEs) of the second kind. Taylor wavelet method is based on an estimate of the unknown function involved in a given IDEs using the Taylor wavelet basis. The simplicity of the technique is a highly striking feature for the estimate of the unknown function. The applicability of the technique on various numerical problems shows the preciseness and usefulness of the technique. The suggested wavelets approach stands out for its simple operations, easy implementation, and accurate an
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Lin, Jing, Ming J. Zuo, and Ken R. Fyfe. "Mechanical Fault Detection Based on the Wavelet De-Noising Technique." Journal of Vibration and Acoustics 126, no. 1 (2004): 9–16. http://dx.doi.org/10.1115/1.1596552.

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For gears and roller bearings, periodic impulses indicate that there are faults in the components. However, it is difficult to detect the impulses at the early stage of fault because they are rather weak and often immersed in heavy noise. Existing wavelet threshold de-noising methods do not work well because they use orthogonal wavelets, which do not match the impulse very well and do not utilize prior information on the impulse. A new method for wavelet threshold de-noising is proposed in this paper; it not only employs the Morlet wavelet as the basic wavelet for matching the impulse, but als
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Dissertations / Theses on the topic "Wavelet technique"

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Alwan, Abdulrahman. "Implementation of Wavelet-Kalman Filtering Technique for Auditory Brainstem Response." Thesis, Linköpings universitet, Informationskodning, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-85116.

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Auditory brainstem response (ABR) evaluation has been one of the most reliable methods for evaluating hearing loss. Clinically available methods for ABR tests require averaging for a large number of sweeps (~1000-2000) in order to obtain a meaningful ABR signal, which is time consuming.  This study proposes a faster new method for ABR filtering based on wavelet-Kalman filter that is able to produce a meaningful ABR signal with less than 500 sweeps. The method is validated against ABR data acquired from 7 normal hearing subjects with different stimulus intensity levels, the lowest being 30 dB N
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Comer, K. Allen. "A wavelet-based technique for reducing noise in audio signals." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-06082009-170933/.

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Wang, Donglian. "A Wavelet Galerkin solution technique for the phase field model of microstructural evolution." Thesis, University of Surrey, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250908.

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Ahmad, Rais. "Guided Wave Technique to Detect Defects in Pipes Using Wavelet Analysis." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1114%5F1%5Fm.pdf&type=application/pdf.

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Cheng, Sheng. "Novel implementation technique for a wavelet-based broadband signal detection system." Thesis, University of Warwick, 2010. http://wrap.warwick.ac.uk/4515/.

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This thesis reports on the design, simulation and implementation of a novel Implementation for a Wavelet-based Broadband Signal Detection System. There is a strong interest in methods of increasing the resolution of sonar systems for the detection of targets at sea. A novel implementation of a wideband active sonar signal detection system is proposed in this project. In the system the Continuous Wavelet Transform is used for target motion estimation and an Adaptive-Network-based Fuzzy inference System (ANFIS) is adopted to minimize the noise effect on target detection. A local optimum search a
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Gupta, P., and V. B. Gadicha. "Enhancement of low quality degraded video using haar wavelet decomposition technique." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/55756.

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The point recommends the general system for video improvement, object location and following continue at the same time in an aggressive and helpful way .Video is a gathering of successive pictures with a consistent time interim. So video can give more data about the article when situations are changing regarding time. Thusly, physically taking care of recordings are entirely unimaginable. So there is need of a computerized gadget to handle these recordings. Numerous calculations and innovation have been created to robotize video improvement and checking the article in a video documen
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Fujii, Masafumi. "A time-domain Haar-wavelet-based multiresolution technique for electromagnetic field analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0006/NQ40454.pdf.

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Rutledge, Glen A. "Dictionary projection pursuit, a wavelet packet technique for acoustic spectral feature extraction." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0008/NQ52770.pdf.

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Garantziotis, Anastasios. "A wavelet-based prediction technique for concealment of loss-packet effects in wireless channels." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FGarantziotis.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, June 2002.<br>Thesis advisor(s): Murali Tummala, Robert Ives. Includes bibliographical references (p. 89-90). Also available online.
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Sabesan, Vaidhyanathan. "Detection and Frequency Estimation of Nonlinear Systems using Step Relaxation Technique." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1505203318448279.

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Books on the topic "Wavelet technique"

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Phelan, Niall C. Development and evaluation of a wavelet technique for medical image compression. University College Dublin, 1998.

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Suter, Bruce W. Multirate and wavelet signal processing. Acadmeic Press, 1998.

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Singh, Rajiv, Swati Nigam, Amit Kumar Singh, and Mohamed Elhoseny. Intelligent Wavelet Based Techniques for Advanced Multimedia Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31873-4.

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N, Topiwala Pankaj, ed. Wavelet image and video compression. Kluwer Academic Publishers, 1998.

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M, Barlaud, ed. Wavelets in image communication. Elsevier, 1994.

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Forney, Fredric D. Acoustic noise removal by combining wiener and wavelet filtering techniques. Naval Postgraduate School, 1998.

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Fliege, Norbert. Multirate digital signal processing: Multirate systems, filter banks, wavelets. Wiley, 1994.

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Weeks, Michael. Digital signal processing using MATLAB and wavelets. Infinity Science Press, 2007.

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Weeks, Michael. Digital signal processing using MATLAB and wavelets. 2nd ed. Jones and Bartlett Publishers, 2011.

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E, Ashpis D., Sohn Ki-Hyeon, and Lewis Research Center, eds. Demonstration of wavelet techniques in the spectral analysis of bypass transition data. National Aeronautics and Space Administration, Lewis Research Center, 1997.

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Book chapters on the topic "Wavelet technique"

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Sheikh Akbari, Akbar, and Pooneh Bagheri Zadeh. "Wavelet Based Image Enlargement Technique." In Communications in Computer and Information Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23276-8_16.

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Gao, Robert X., and Ruqiang Yan. "Wavelet Integrated with Fourier Transform: A Unified Technique." In Wavelets. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1545-0_7.

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Venkateshwar Rao, M., and V. Bhagya Raju. "Image Resolution Enhancement Technique Using Lifting Wavelet and Discrete Wavelet Transforms." In Advances in Intelligent Systems and Computing. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0419-3_28.

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Dixit, Pradnya, and Shreenivas Londhe. "Water-Level Forecasting Using Neuro-wavelet Technique." In Lecture Notes in Civil Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3119-0_49.

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Kubo, Masaaki, Zaher Aghbari, Kun Seok Oh, and Akifumi Makinouchi. "A Wavelet-Based Image Indexing, Clustering, and Retrieval Technique Based on Edge Feature." In Wavelet Analysis and Its Applications. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45333-4_22.

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Ling, Wing-kuen, and P. K. S. Tam. "Simple and Fast Subband De-blocking Technique by Discarding the High Band Signals." In Wavelet Analysis and Its Applications. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45333-4_8.

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Alkafafi, Loay, Carsten Hamm, and Tomas Sauer. "Vibrational Error Extraction Method Based on Wavelet Technique." In Mathematical Methods for Curves and Surfaces. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54382-1_1.

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Binh, Nguyen Thanh, and Ashish Khare. "Adaptive Complex Wavelet Technique for Medical Image Denoising." In IFMBE Proceedings. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12020-6_49.

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Bhandari, Ayush, Vijay Khare, Jayashree Santhosh, and Sneh Anand. "Wavelet based compression technique of Electro-oculogram signals." In 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-68017-8_111.

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Kothari, Tejal, Ankita Pramanik, and Santi P. Maity. "Brain Tumor Detection by Wavelet Based Fusion Technique." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8578-0_26.

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Conference papers on the topic "Wavelet technique"

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Adel Gabry, Mohamed, Ibrahim Eltaleb, M. Y. Soliman, et al. "Validation of Continuous Wavelet Transform Closure Detection Technique Using Strain Measurements." In SPE Hydraulic Fracturing Technology Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212360-ms.

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Abstract Although closure detection has a crucial role in hydraulic fracturing operations, significant debate surrounds the various methodologies to determine its value. Several competing methodologies have been presented in the literature that sometimesyield significantly different estimates of closure pressure and time. The conventional techniques rely on assumptions that may be competing or even contradictory. The continuous wavelets transform technique is a data transform technique that convolves the pressure and/or temperature data using a short wavy signal called "wavelet". The wavelet t
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H. Kadir, Dler, Alan G. Rahim, Dlshad M. Saleh, and Azhin M. Khudhur. "The mixed ridge is evaluated using wavelet analysis as an alternative to conventional penalized approaches (simulation study)." In The 5th International Scientific Conference on Administrative and Financial Sciences (CIC-ISCAFS'2025). Cihan University-Erbil, 2025. https://doi.org/10.24086/icafs2025/paper.1764.

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Abstract—In this research, we use threshold wavelet approaches to estimate tuning parameters in the presence of the contamination problem (noise) for calculated parameters in multiple linear regression. To estimate tuning parameters, the suggested technique uses wavelet shrinkage (for wavelets family, Symlets and Fejer-Korovkin and threshold, Universal, SURE, and Minimax). It is also utilized in penalized methods for variable selection and linear model coefficient estimation. Using simulation experiments for contamination levels of 10% and 25% as well as actual data, in contrast to the convent
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Hou, Zhikun, and Adriana Hera. "A System Identification Technique Using Pseudo-Wavelets for General Linear Systems." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/vib-21402.

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Abstract A concept of pseudo-wavelet is proposed based on shifting and scaling of conventional wavelets and a related pseudo-wavelet transform (PWT) is defined. The paper presents two special pseudo-wavelets defined based on the frequency response functions of the first- and the second-order linear dynamic systems, respectively. A PWT-based system identification technique is developed to estimate the system parameters, including the time constant associated with a single real pole of the system and the natural frequency and the damping ratio associated with a pair of conjugate complex poles of
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Chang, Yaw-Jen. "Wavelet-based virtual metrology technique." In 2010 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2010. http://dx.doi.org/10.1109/icma.2010.5588327.

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Okonkwo, Uche A. K., Razali Ngah, and Tharek Rahman. "Wavelet-based digital modulation technique." In 2009 IEEE 9th Malaysia International Conference on Communications (MICC). IEEE, 2009. http://dx.doi.org/10.1109/micc.2009.5431551.

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Wus, John P., and Weiping Li. "Interframe vector wavelet coding technique." In Electronic Imaging '97, edited by Jan Biemond and Edward J. Delp III. SPIE, 1997. http://dx.doi.org/10.1117/12.263276.

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Li, Hui, Masahiro Takei, Yoshifuru Saito, and Kiyoshi Horii. "Application of Wavelet Packet to Particle Image Velocimetry Technique." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2090.

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Abstract Our motive of this study is to develop an application of the wavelet packet to PIV image compression processing in order to improve the spatial resolution and reliability furthermore. It was found that the reconstructed PIV image with a lower compression ratio may emphasize particle edges at a relatively high spatial resolution, and the reconstructed PIV image with a higher compression ratio may display the large-scale motion of particles and may deduce noisy. In this study, the relative error of the wavelet packet image compression technique was lower than that of the standard wavele
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Fayyad, Yara, and Ahmed Osman. "Neuro-wavelet based islanding detection technique." In Energy Conference (EPEC). IEEE, 2010. http://dx.doi.org/10.1109/epec.2010.5697180.

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Kale, Mehmet Cemil, Gizem Atac, and Omer Nezih Gerek. "Biorthogonal wavelet vanishing moment increment technique." In 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7129943.

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Lei Ding, Min Zhu, and Ke Liao. "Wavelet based sparse source imaging technique." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6610774.

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Reports on the topic "Wavelet technique"

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Gao, W., and B. L. Li. Wavelet analysis of atmospheric turbulence structures: What can we gain from this new technique? Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/71326.

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Lopez, Jose E., Juei C. Lo, and Jennifer Saulnier. Vehicle Signal Enhancement Using Packet Wavelet Transform and Nonlinear Noise Processing Techniques. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada393635.

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Nguyen, C. T., C. Ganesh, and S. E. Hammel. Advanced Techniques for Signal and Image Compression/Reconstruction with Wavelets. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada297037.

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Miller, Eric L., and Alan S. Willsky. Wavelet Transforms and Multiscale Estimation Techniques for the Solution of Multisensor Inverse Problems. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada458528.

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Alzarrad, Ammar, Caleb Wise, Arka Chattopadhyay, Sudipta Chowdhury, Abby Cisko, and Jeremy Beasley. Railroad infrastructure management : a novel tool for automatic interpretation of GPR imaging to minimize human intervention in railroad inspection. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48530.

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Regular monitoring and inspection of military railroad tracks are necessary to ensure the safe transportation of military freight. Manual railroad inspection has drawbacks and limitations that can impact accuracy and efficiency. This study introduces a novel tool designed to automate Ground Penetrating Radar (GPR) imaging interpretation for railroad ballast condition assessment, aiming to reduce human intervention in inspections. The tool uses advanced signal processing techniques, such as the Short-Time Fourier Transform (STFT) and Wavelet Transform (WT), to quantify ballast fouling levels ac
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Andrian, Jean. Fratricide Avoidance Using Transform Domain Techniques: A New Spectral Estimation Method Based on the Evolutionary Wavelet Spectrum Concept. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada448936.

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