Relevant bibliographies by topics / Continuous Wavelet Transforms (CWT)

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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 'Continuous Wavelet Transforms (CWT)'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Continuous Wavelet Transforms (CWT)"

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Abdullah, Shahrum, S. N. Sahadan, Mohd Zaki Nuawi, and Zulkifli Mohd Nopiah. "Fatigue Data Analysis Using Continuous Wavelet Transform and Discrete Wavelet Transform." Key Engineering Materials 462-463 (January 2011): 461–66. http://dx.doi.org/10.4028/www.scientific.net/kem.462-463.461.

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The wavelet transform is well known for its ability in vibration analysis in fault detection. This paper presents the ability of wavelet transform in fatigue data analysis starts from high amplitude events detection and it is then followed by fatigue data extraction based on wavelet coefficients. Since the wavelet transform has two main categories, i.e. the continuous wavelet transforms (CWT) and the discrete wavelet transform (DWT), the comparison study were carried out in order to investigate performance of both wavelet for fatigue data analysis. CWT represents by the Morlet wavelet while DW
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Prasad, Akhilesh, and U. K. Mandal. "Wavelet transforms associated with the Kontorovich–Lebedev transform." International Journal of Wavelets, Multiresolution and Information Processing 15, no. 02 (2017): 1750011. http://dx.doi.org/10.1142/s0219691317500114.

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The main objective of this paper is to study continuous wavelet transform (CWT) using the convolution theory of Kontorovich–Lebedev transform (KL-transform) and discuss some of its basic properties. Plancherel’s as well as Parseval’s relation and Reconstruction formula for CWT are obtained and some examples are also given. The discrete version of the wavelet transform associated with KL-transform is also given and reconstruction formula is derived.
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Wachowiak, Mark P., Renata Wachowiak-Smolíková, Michel J. Johnson, Dean C. Hay, Kevin E. Power, and F. Michael Williams-Bell. "Quantitative feature analysis of continuous analytic wavelet transforms of electrocardiography and electromyography." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376, no. 2126 (2018): 20170250. http://dx.doi.org/10.1098/rsta.2017.0250.

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Theoretical and practical advances in time–frequency analysis, in general, and the continuous wavelet transform (CWT), in particular, have increased over the last two decades. Although the Morlet wavelet has been the default choice for wavelet analysis, a new family of analytic wavelets, known as generalized Morse wavelets, which subsume several other analytic wavelet families, have been increasingly employed due to their time and frequency localization benefits and their utility in isolating and extracting quantifiable features in the time–frequency domain. The current paper describes two pra
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Guido, Rodrigo Capobianco, Fernando Pedroso, André Furlan, Rodrigo Colnago Contreras, Luiz Gustavo Caobianco, and Jogi Suda Neto. "CWT × DWT × DTWT × SDTWT: Clarifying terminologies and roles of different types of wavelet transforms." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 06 (2020): 2030001. http://dx.doi.org/10.1142/s0219691320300017.

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Wavelets have been placed at the forefront of scientific researches involving signal processing, applied mathematics, pattern recognition and related fields. Nevertheless, as we have observed, students and young researchers still make mistakes when referring to one of the most relevant tools for time–frequency signal analysis. Thus, this correspondence clarifies the terminologies and specific roles of four types of wavelet transforms: the continuous wavelet transform (CWT), the discrete wavelet transform (DWT), the discrete-time wavelet transform (DTWT) and the stationary discrete-time wavelet
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Wang, Ning, and Chungu Lu. "Two-Dimensional Continuous Wavelet Analysis and Its Application to Meteorological Data." Journal of Atmospheric and Oceanic Technology 27, no. 4 (2010): 652–66. http://dx.doi.org/10.1175/2009jtecha1338.1.

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Abstract The two-dimensional continuous wavelet transform (2D CWT) has become an important tool to examine and diagnose nonstationary datasets on the plane. Compared with traditional spectral analysis methods, the 2D CWT provides localized spectral information of the analyzed dataset. It also has the advantage over the 2D discrete wavelet transform (DWT) in that it covers the domain of the analyzed data with a continuous analysis from which detailed, shift-invariant spectral information of different positions and orientations can be obtained. In this paper, a brief introduction of the 2D CWT a
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Cavalier, P., and D. W. O’Hagan. "A new potential field shape descriptor using continuous wavelet transforms." GEOPHYSICS 85, no. 5 (2020): G81—G92. http://dx.doi.org/10.1190/geo2018-0427.1.

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Potential field characterization aims at determining source depths, inclination, and type, preferably without a priori information. For ideal sources, the type is often defined from the field’s degree of homogeneity, derived from its expression in the space domain. We have developed a new shape descriptor for potential field source functions, stemming from spectral-domain parameters, which manifest clearly when using continuous wavelet transforms (CWTs). We generalize the use of the maximum wavelet coefficient points in the CWT diagram for the analysis of all types of potential fields (gravity
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Revathi, J., J. Anitha, and D. Jude Hemanth. "An intelligent medical decision support system for diagnosis of heart abnormalities in ECG signals." Intelligent Decision Technologies 15, no. 1 (2021): 19–31. http://dx.doi.org/10.3233/idt-200037.

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This work describes a novel method to detect a Bundle branch block and myocardial infarction from the multi-lead ECG signal. The clinical characteristics of BBB and MI extracted by using a derivative filter and continuous wavelet transform (CWT). The signal with the frequency below 50 Hz obtained and derivative-based filter applied to extract features. The continuous wavelet transforms also applied to the signals of BBB and MI. The CWT coefficients extracted, and the signals reconstructed from the wavelet to obtain the features. The feature vectors generated from each lead of both the methods
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Garcés, Milton A. "Quantized Constant-Q Gabor Atoms for Sparse Binary Representations of Cyber-Physical Signatures." Entropy 22, no. 9 (2020): 936. http://dx.doi.org/10.3390/e22090936.

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Increased data acquisition by uncalibrated, heterogeneous digital sensor systems such as smartphones present new challenges. Binary metrics are proposed for the quantification of cyber-physical signal characteristics and features, and a standardized constant-Q variation of the Gabor atom is developed for use with wavelet transforms. Two different continuous wavelet transform (CWT) reconstruction formulas are presented and tested under different signal to noise ratio (SNR) conditions. A sparse superposition of Nth order Gabor atoms worked well against a synthetic blast transient using the wavel
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ANTOINE, JEAN-PIERRE, I. BOGDANOVA, and P. VANDERGHEYNST. "THE CONTINUOUS WAVELET TRANSFORM ON CONIC SECTIONS." International Journal of Wavelets, Multiresolution and Information Processing 06, no. 02 (2008): 137–56. http://dx.doi.org/10.1142/s0219691308002288.

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We review the coherent state (or group-theoretical) construction of the continuous wavelet transform (CWT) on the two-sphere. Next, we describe the construction of a CWT on the upper sheet of a two-sheeted hyperboloid, emphasizing the similarities between the two cases. Finally, we give some indications on the CWT on a paraboloid and we introduce a unified approach to the CWT on conic sections.
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Debbal, S. M., and F. Bereksi-Reguig. "COMPLEMENTARY ANALYSIS TO HEART SOUNDS WHILE USING THE SHORT TIME FOURIER AND THE CONTINUOUS WAVELET TRANSFORMS." Biomedical Engineering: Applications, Basis and Communications 19, no. 05 (2007): 331–39. http://dx.doi.org/10.4015/s1016237207000434.

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This paper presents the analysis and comparisons of the short time Fourier transform (STFT) and the continuous wavelet transform techniques (CWT) to the four sounds analysis (S1, S2, S3 and S4). It is found that the spectrogram short-time Fourier transform (STFT), cannot perfectly detect the internals components of these sounds that the continuous wavelet transform. However, the short time Fourier transform can provide correctly the extent of time and frequency of these four sounds. Thus, the STFT and the CWT techniques provide more features and characteristics of the sounds that will hemp phy
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Dissertations / Theses on the topic "Continuous Wavelet Transforms (CWT)"

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Čáp, Martin. "Sledování trendů elektrické aktivity srdce časově-frekvenčním rozkladem." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218005.

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Work is aimed at the time-frequency decomposition of a signal application for monitoring the EKG trend progression. Goal is to create algorithm which would watch changes in the ST segment in EKG recording and its realization in the Matlab program. Analyzed is substance of the origin of EKG and its measuring. For trend calculations after reading the signal is necessary to preprocess the signal, it consists of filtration and detection of necessary points of EKG signal. For taking apart, also filtration and measuring the signal is used wavelet transformation. Source of the data is biomedicine dat
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Kang, Pengju. "On-line condition assessment of power transformer on-load tap-changers : transient vibration analysis using wavelet transform and self organising map." Thesis, Queensland University of Technology, 2000.

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Ferreira, Milton dos Santos. "Continuous wavelet transforms on the unit sphere." Doctoral thesis, Universidade de Aveiro, 2008. http://hdl.handle.net/10773/2950.

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Bjerkås, Morten. "Ice Actions on Offshore Structures – With Applications of Continuous Wavelet Transforms on Ice Load Signals." Doctoral thesis, Norwegian University of Science and Technology, Department of Civil and Transport Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1576.

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<p>Ice actions on offshore structures are one of the main concerns for engineering activities in cold areas with ice-infested waters. This thesis deals with three aspects of ice actions, namely design ice loads from level ice, dynamic ice actions of resonant character, and the actions caused by ridged ice.</p><p>Ice pressures on full-scale structures have been summarized in the present work. The scatter in reported values has been partly explained by categorization with respect to the applied measuring devices, structural characteristics and geographical locations. An existing design code was
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Vaidya, Anil Pralhad. "A Model Study For The Application Of Wavelet And Neural Network For Identification And Localization Of Partial Discharges In Transformers." Thesis, 2004. http://etd.iisc.ernet.in/handle/2005/1183.

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Lanka, Karthikeyan. "Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models." Thesis, 2013. http://etd.iisc.ernet.in/2005/3363.

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The idea of time series forecasting techniques is that the past has certain information about future. So, the question of how the information is encoded in the past can be interpreted and later used to extrapolate events of future constitute the crux of time series analysis and forecasting. Several methods such as qualitative techniques (e.g., Delphi method), causal techniques (e.g., least squares regression), quantitative techniques (e.g., smoothing method, time series models) have been developed in the past in which the concept lies in establishing a model either theoretically or mathematica
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Khan, W., Ping Jiang, and David R. W. Holton. "Word spotting in continuous speech using wavelet transform." 2014. http://hdl.handle.net/10454/10713.

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No<br>Word spotting in continuous speech is considered a challenging issue due to dynamic nature of speech. Literature contains a variety of novel techniques for the isolated word recognition and spotting. Most of these techniques are based on pattern recognition and similarity measures. This paper amalgamates the use of different techniques that includes wavelet transform, feature extraction and Euclidean distance. Based on the acoustic features, the proposed system is capable of identifying and localizing a target (test) word in a continuous speech of any length. Wavelet transform is used fo
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Books on the topic "Continuous Wavelet Transforms (CWT)"

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Führ, Hartmut. Abstract Harmonic Analysis of Continuous Wavelet Transforms. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b104912.

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Führ, Hartmut. Abstract Harmonic Analysis of Continuous Wavelet Transforms. Springer London, Limited, 2005.

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Abstract Harmonic Analysis of Continuous Wavelet Transforms. Springer, 2005.

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Book chapters on the topic "Continuous Wavelet Transforms (CWT)"

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Kaiser, Gerald. "Continuous Wavelet Transforms." In A Friendly Guide to Wavelets. Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-8111-1_3.

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Teolis, Anthony. "Continuous Wavelet and Gabor Transforms." In Computational Signal Processing with Wavelets. Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-4142-3_4.

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Teolis, Anthony. "Continuous Wavelet and Gabor Transforms." In Modern Birkhäuser Classics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65747-9_4.

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Grossmann, A., R. Kronland-Martinet, and J. Morlet. "Reading and Understanding Continuous Wavelet Transforms." In inverse problems and theoretical imaging. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75988-8_1.

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Grossmann, A., R. Kronland-Martinet, and J. Morlet. "Reading and Understanding Continuous Wavelet Transforms." In Wavelets. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-97177-8_1.

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Jorgensen, Palle E. T., and Myung-Sin Song. "Comparison of Discrete and Continuous Wavelet Transforms." In Encyclopedia of Complexity and Systems Science. Springer New York, 2013. http://dx.doi.org/10.1007/978-3-642-27737-5_77-2.

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Jorgensen, Palle E. T., and Myung-Sin Song. "Comparison of Discrete and Continuous Wavelet Transforms." In Computational Complexity. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1800-9_34.

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Jorgensen, Palle E. T., and Myung-Sin Song. "Comparison of Discrete and Continuous Wavelet Transforms." In Encyclopedia of Complexity and Systems Science. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_77.

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Ishi, Hideyuki, and Kazuhide Oshiro. "Continuous Wavelet Transforms for Vector-Valued Functions." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80209-7_37.

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Sharma, R., A. Kumar, and P. K. Kankar. "Ball Bearing Fault Diagnosis Using Continuous Wavelet Transforms with Modern Algebraic Function." In Advances in Intelligent Systems and Computing. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1602-5_35.

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Conference papers on the topic "Continuous Wavelet Transforms (CWT)"

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Alonso, Raul J., Mohammad Noori, Arata Masuda, and Zhikun Hou. "Comparative Study Between CWT and STFT for On-Line Health Monitoring Applications in Systems Under Random Excitation." 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-21003.

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Abstract Two time-frequency signal analysis methods, based on results of Continuous Wavelet Transform, and the Short Time Fourier Transform are compare for the purpose of on-line health monitoring application in systems subjected to random loads. A classic example with a simple signal is used to differentiate the characteristics of the two transforms suggesting the possible preference of a Wavelet Transform based approach over the Short Time Fourier Transform. Another example including a single degree of freedom system subjected to random loads proves how the inherent variable window capabilit
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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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ABADÍA, JOSÉ JOAQUÍN PERALTA, HENRIEKE FRITZ, KOSMAS DRAGOS, and KAY SMARSLY. "SENSOR FAULT DIAGNOSIS COUPLING DEEP LEARNING AND WAVELET TRANSFORMS." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36327.

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Sensor networks facilitate collecting measurement data necessary for decision making regarding structural maintenance and rehabilitation in structural health monitoring (SHM) systems. Nevertheless, the reliability of decision making in SHM systems depends on the proper operation of the sensors. Sensors may exhibit faults, entailing faulty data and incorrect judgment of structural conditions. Therefore, fault diagnosis (FD), comprising detection, isolation, identification, and accommodation of sensor faults, has been introduced in SHM systems, enabling timely detection of faulty data while adva
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Shafqat, K., S. K. Pal, S. Kumari, and P. A. Kyriacou. "HRV analysis in local anesthesia using Continuous Wavelet Transform (CWT)." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091191.

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Araga˜o Filho, Luiz A. C. M., Carlos Magluta, and Ney Roitman. "Damping Estimation of Risers Using Time-Frequency Transforms." In ASME 2004 23rd International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/omae2004-51218.

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Offshore oil exploitation at increasing water depths has been carrying out studies focused on improving riser response prediction. In order to have a safety design of flexible risers it is necessary to evaluate its dynamic characteristics, mainly the damping factor. This parameter is obtained experimentally and the usual techniques sometimes are not appropriated. For these techniques the damping factor is considered constant, but some tests performed in COPPE’s Lab showed that this is not completely true. In order to estimate the damping factors of a multi-degree of freedom system, cross-secti
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Ziani, Said, Atman Jbari, and Larbi Belarbi. "Fetal electrocardiogram characterization by using only the continuous wavelet transform CWT." In 2017 International Conference on Electrical and Information Technologies (ICEIT). IEEE, 2017. http://dx.doi.org/10.1109/eitech.2017.8255310.

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Ball, John E., and Alan Tolley. "Low SNR radar signal detection using the continuous wavelet transform (CWT) and a Morlet wavelet." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720950.

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Cardoso, Carlos E. R., Aldo A. Díaz, Aline Pansani, et al. "Epileptic seizure detection with Convolutional Neural Networks and the Continuous Wavelet Transform." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sibgrapi.est.2022.23264.

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The study of epileptic seizure often involves animal models to simulate the human behavior. Such models demand monitoring the evolution of the animal behavior continuously. Detecting seizure in this setup remains a challenge, because it typically requires trained personnel to annotate video sequences looking for the timestamps of seizure events. Deep Learning methods can help to solve this task in a more automatic and efficient manner due to their capacity of retrieving patterns from data. In this work, we conducted a pilot study to detect epileptic seizure from the images of small rodents usi
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Jadhav, Pankaj, Debabrata Datta, and Siddhartha Mukhopadhyay. "Signature Matching For Seismic Signal Identification." In International Conference on Women Researchers in Electronics and Computing. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.114.17.

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Seismic signals can be classified as natural or manmade by matching signature of similar events that have occurred in the past. Waveform matching techniques can be effectively used for discrimination since the events with similar location and focal mechanism have similar waveform irrespective of magnitude. The seismic signals are inherently non-stationary in nature. The analysis of such signals can be best achieved in multiresolution framework by resolving the signal using continuous wavelet transform (CWT) in time-frequency plane. In this paper similarity testing and classification of nuclear
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Yan, Ruqiang, and Robert X. Gao. "Wavelet-Based Multi-Fractal Spectrum for Machine Defect Identification." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41984.

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This paper presents a technique based on the wavelet-based multi-fractal singularity spectrum for rotary machine defect identification. Specifically, vibration signals measured by accelerometers are decomposed into a series of scales, with each scale corresponding to a sub-frequency band, by means of the continuous wavelet transform (CWT). The multi-fractal spectrum is then calculated from the wavelet coefficient modulus-maxima lines. Comparing to other signal processing techniques, the inherently flexible time-frequency resolution property of the wavelet transform characterizes the scaling pr
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Reports on the topic "Continuous Wavelet Transforms (CWT)"

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Srebrov, Bozhidar, Lyubka Pashova, and Ognyan Kounchev. Study of Local Manifestations of G5 – Extreme Geomagnetic Storms (29÷31 October, 2003) in Midlatitudes Using Geomagnetic Data by Continuous Wavelet Transforms. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2018. http://dx.doi.org/10.7546/crabs.2018.06.11.

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