Download or read book Modified S transform in Time frequency Analysis of Seismic Data and Its Application written by Duan Li and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The S-Transform (ST) is a frequency-dependent spectral decomposition method that truly localizes spectra in time and frequency. However, it exhibits poor temporal resolution at low frequencies, which can result in inaccurate localization of spectral anomalies and obscure features that have geological meanings. While prior literature developed various modified S-Transforms, called the Generalized ST, (GST) to tailor analyzing windows for particular applications, they do not specifically address the particular shortcoming as noted above. To improve the ST’s temporal resolution at low frequencies, this dissertation develops a new modification to the ST. The proposed algorithm (termed MST) replaces frequency in the ST’s normalized Gaussian window with a linear function of frequency. Through optimizing two constants in the linear frequency function, the modified window shortens its width and sharpens its waveform to improve time resolution at low frequencies without degrading frequency resolution while retaining the ST’s time and frequency resolution at higher frequencies. Further, the MST also conserves energy and preserves the spectral properties of the ST. Comparison analyses of synthetic and real seismic data using the ST, CWT, MST and GSTs show that the MST successfully accomplishes the above. By using optimized coefficients in its linear frequency function, the MST can be useful in hydrocarbon detection and geological interpretation.
Download or read book Time frequency Analysis of Seismic Signals written by Yanghua Wang and published by John Wiley & Sons. This book was released on 2022-10-11 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and insightful discussion of time-frequency analysis methods and technologies Time–frequency analysis of seismic signals aims to reveal the local properties of nonstationary signals. The local properties, such as time-period, frequency, and spectral content, vary with time, and the time of a seismic signal is a proxy of geologic depth. Therefore, the time–frequency spectrum is composed of the frequency spectra that are generated by using the classic Fourier transform at different time positions. Different time–frequency analysis methods are distinguished in the construction of the local kernel prior to using the Fourier transform. Based on the difference in constructing the Fourier transform kernel, this book categorises time–frequency analysis methods into two groups: Gabor transform-type methods and energy density distribution methods. This book systematically presents time–frequency analysis methods, including technologies which have not been previously discussed in print or in which the author has been instrumental in developing. In the presentation of each method, the fundamental theory and mathematical concepts are summarised, with an emphasis on the engineering aspects. This book also provides a practical guide to geophysicists who attempt to generate geophysically meaningful time–frequency spectra, who attempt to process seismic data with time-dependent operations for the fidelity of nonstationary signals, and who attempt to exploit the time–frequency space seismic attributes for quantitative characterisation of hydrocarbon reservoirs.
Download or read book S Transform Time Frequency Analysis Filtering written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The S transform, a hybrid of the Short Time Fourier Transform and Wavelet transform, has a time frequency resolution which is far from ideal. This thesis proposes a modified S transform, which offers better time frequency resolution compared to the original S transform. The improvement is achieved through the introduction of a new scaling rule for the Gaussian window used in S transform. The S transform analysis of financial time series revealed the presence of business cycles, which could help forecasting economic booms and recessions. A noisy time series, with both signal and noise varying in frequency and in time, presents special challenges for improving the signal to noise ratio. The modified S-transform time-frequency representation is used to filter a synthetic time series in a two step filtering process. The filter method appears robust within a wide range of background noise levels. The new filtering approach developed was successfully applied for the identification of Post Glacial rebound in Eastern Canada.
Download or read book Time frequency Localization with Wavelet Transform and It s Application in Seismic Data Analysis written by Satish Kumar Sinha and published by . This book was released on 2002 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book China Satellite Navigation Conference CSNC 2020 Proceedings Volume I written by Jiadong Sun and published by Springer Nature. This book was released on 2020-06-06 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: China Satellite Navigation Conference (CSNC 2020) Proceedings presents selected research papers from CSNC 2020 held during 22nd-25th November in Chengdu, China. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 13 topics to match the corresponding sessions in CSNC2020, which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications.
Download or read book Applications in Time Frequency Signal Processing written by Antonia Papandreou-Suppappola and published by CRC Press. This book was released on 2018-10-03 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because most real-world signals, including speech, sonar, communication, and biological signals, are non-stationary, traditional signal analysis tools such as Fourier transforms are of limited use because they do not provide easily accessible information about the localization of a given frequency component. A more suitable approach for those studying non-stationary signals is the use of time frequency representations that are functions of both time and frequency. Applications in Time-Frequency Signal Processing investigates the use of various time-frequency representations, such as the Wigner distribution and the spectrogram, in diverse application areas. Other books tend to focus on theoretical development. This book differs by highlighting particular applications of time-frequency representations and demonstrating how to use them. It also provides pseudo-code of the computational algorithms for these representations so that you can apply them to your own specific problems. Written by leaders in the field, this book offers the opportunity to learn from experts. Time-Frequency Representation (TFR) algorithms are simplified, enabling you to understand the complex theories behind TFRs and easily implement them. The numerous examples and figures, review of concepts, and extensive references allow for easy learning and application of the various time-frequency representations.
Download or read book Time Frequency Signal Analysis and Processing written by Boualem Boashash and published by Academic Press. This book was released on 2015-12-11 with total page 1070 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R&D engineer insights into how to use TFSAP methods to develop and implement the engineering application systems they require. New to this edition: New sections on Efficient and Fast Algorithms; a "Getting Started" chapter enabling readers to start using the algorithms on simulated and real examples with the TFSAP toolbox, compare the results with the ones presented in the book and then insert the algorithms in their own applications and adapt them as needed. Two new chapters and twenty three new sections, including updated references. New topics including: efficient algorithms for optimal TFDs (with source code), the enhanced spectrogram, time-frequency modelling, more mathematical foundations, the relationships between QTFDs and Wavelet Transforms, new advanced applications such as cognitive radio, watermarking, noise reduction in the time-frequency domain, algorithms for Time-Frequency Image Processing, and Time-Frequency applications in neuroscience (new chapter). A comprehensive tutorial introduction to Time-Frequency Signal Analysis and Processing (TFSAP), accessible to anyone who has taken a first course in signals Key advances in theory, methodology and algorithms, are concisely presented by some of the leading authorities on the respective topics Applications written by leading researchers showing how to use TFSAP methods
Download or read book Constrained Least squares Spectral Analysis written by Charles Ian Cecil Puryear and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation describes a new method called Constrained Least-Squares Spectral Analysis (CLSSA), an inversion-based algorithm for computing the time-frequency analysis of reflection seismograms. CLSSA is formulated and applied to modeled seismic waveforms and real seismic data. The Fourier Series coefficients are computed as a function of time directly by inverting a basis of truncated sinusoidal kernels for a moving time window. The method results in spectra that have reduced window smearing for a given window length relative to the Discrete Fourier Transform irrespective of window shape, and a time-frequency analysis with a combination of time and frequency resolution that is superior to both the Short-time Fourier Transform and the Continuous Wavelet Transform. The reduction in spectral smoothing enables better determination of the spectral characteristics of interfering reflections within a short window. The degree of resolution improvement relative to the Short-time Fourier Transform increases as window length decreases. As compared to the Continuous Wavelet Transform, the method has greatly improved temporal resolution, particularly at low frequencies.
Download or read book Time frequency Analysis of Seismic Signals written by Yanghua Wang and published by John Wiley & Sons. This book was released on 2022-10-03 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and insightful discussion of time-frequency analysis methods and technologies Time–frequency analysis of seismic signals aims to reveal the local properties of nonstationary signals. The local properties, such as time-period, frequency, and spectral content, vary with time, and the time of a seismic signal is a proxy of geologic depth. Therefore, the time–frequency spectrum is composed of the frequency spectra that are generated by using the classic Fourier transform at different time positions. Different time–frequency analysis methods are distinguished in the construction of the local kernel prior to using the Fourier transform. Based on the difference in constructing the Fourier transform kernel, this book categorises time–frequency analysis methods into two groups: Gabor transform-type methods and energy density distribution methods. This book systematically presents time–frequency analysis methods, including technologies which have not been previously discussed in print or in which the author has been instrumental in developing. In the presentation of each method, the fundamental theory and mathematical concepts are summarised, with an emphasis on the engineering aspects. This book also provides a practical guide to geophysicists who attempt to generate geophysically meaningful time–frequency spectra, who attempt to process seismic data with time-dependent operations for the fidelity of nonstationary signals, and who attempt to exploit the time–frequency space seismic attributes for quantitative characterisation of hydrocarbon reservoirs.
Download or read book Seismic Data Analysis written by Özdoğan Yilmaz and published by SEG Books. This book was released on 2001 with total page 2065 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expanding the author's original work on processing to include inversion and interpretation, and including developments in all aspects of conventional processing, this two-volume set is a comprehensive and complete coverage of the modern trends in the seismic industry - from time to depth, from 3D to 4D, from 4D to 4C, and from isotropy to anisotropy.
Download or read book SPECTRAL DECOMPOSITION OF SEISMIC DATA USING SPARSE S TRANSFORM COMPARED TO CONVENTIONAL METHODS written by and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : Spectral decomposition is a technique used to identify the component frequencies of a signal. Since seismic signals are nonstationary, spectral decomposition can be used as a tool for detecting spectral anomalies and interpreting geological features, making it valuable for identifying thin layers and potential hydrocarbon reservoirs. This research project presents the application of a newly developed spectral decomposition method known as the sparse S-transform (SST). This method calculates areas with the highest energy concentrations and eliminates areas containing unimportant features. It is based on inverse theory and uses an optimization problem to create sparse coefficients to prevent overfitting of data. This study performs two synthetic tests and a real seismic data example using the F3 North Sea dataset to compare the SST to conventional methods: short-time Fourier transform (STFT), continuous-wavelet transform (CWT), and S-transform (ST). Two synthetic wedge models were also created to demonstrate how thin layers are identified through spectral decomposition. The SST proves to generate solutions with superior time-frequency resolution and has the benefit of optimized window parameters. It also has advantages for interpreting geological features found in the F3 dataset, such as faults, sigmoidal bedding, thin layers, and unconformities.
Download or read book Wavelets in Medicine and Biology written by Akram Aldroubi and published by CRC Press. This book was released on 1996-04-24 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considerable attention from the international scientific community is currently focused on the wide ranging applications of wavelets. For the first time, the field's leading experts have come together to produce a complete guide to wavelet transform applications in medicine and biology. Wavelets in Medicine and Biology provides accessible, detailed, and comprehensive guidelines for all those interested in learning about wavelets and their applications to biomedical problems.
Download or read book Adaptive Signal Processing written by Tülay Adali and published by John Wiley & Sons. This book was released on 2010-06-25 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leading experts present the latest research results in adaptive signal processing Recent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements. This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutting edge of its own area of specialty. It begins by addressing the problem of optimization in the complex domain, fully developing a framework that enables taking full advantage of the power of complex-valued processing. Then, the challenges of multichannel processing of complex-valued signals are explored. This comprehensive volume goes on to cover Turbo processing, tracking in the subspace domain, nonlinear sequential state estimation, and speech-bandwidth extension. Examines the seven most important topics in adaptive filtering that will define the next-generation adaptive filtering solutions Introduces the powerful adaptive signal processing methods developed within the last ten years to account for the characteristics of real-life data: non-Gaussianity, non-circularity, non-stationarity, and non-linearity Features self-contained chapters, numerous examples to clarify concepts, and end-of-chapter problems to reinforce understanding of the material Contains contributions from acknowledged leaders in the field Adaptive Signal Processing is an invaluable tool for graduate students, researchers, and practitioners working in the areas of signal processing, communications, controls, radar, sonar, and biomedical engineering.
Download or read book Conference Proceedings of 2022 2nd International Joint Conference on Energy Electrical and Power Engineering written by Cungang Hu and published by Springer Nature. This book was released on 2023-08-02 with total page 1326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will be a collection of the conference manuscripts presented at the 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering covering new and renewable energy, electrical and power engineering. It is expected to report the latest technological developments in the fields developed by academic researchers and industrial practitioners. The application and dissemination of these technologies will benefit the research community, as new research directions are becoming increasingly interdisciplinary, requiring researchers from different research areas to come together and share ideas. It will also benefit the electrical engineering and energy industry, as we are now experiencing a new wave of industrial revolution, i.e. the electrification, intelligentisation and digitalisation of our transport, manufacturing processes and way of thinking.
Download or read book Time frequency Representation of a Highly Nonstationary Signal Via the Modified Wigner Distribution written by T. F. Zoladz and published by . This book was released on 1992 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book NASA Technical Paper written by and published by . This book was released on 1992 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Power Systems Research and Operation written by Olexandr Kyrylenko and published by Springer Nature. This book was released on 2021-09-22 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the problems of power systems in fields related to optimization of operating modes of electric power facilities and their control systems, information and measuring systems and metrological support in the electric power industry, ensuring the functioning of the electric power system in the conditions of a competitive market of the electric power. The book is devoted to modern problems ensuring operational reliability and safety of objects integrated power system of Ukraine. It is complex task, solution of which is related to optimization of operating modes of electric power facilities and their control systems, creating diagnostic systems for the electric power industry, ensuring the functioning of the electric power system in the conditions of a competitive market of the electric power. The presented research results in book allow increasing the reliability and efficiency of operation of energy facilities and ensuring the stability of power systems, the introduction of effective methods and tools for forecasting electricity supply, optimize power systems, suggest road map to integrate electricity markets taking into account network constraints in modern conditions of electricity markets. The book includes eight chapters. A book is for researchers, engineers, as well as lecturers and postgraduates of higher education institutions dealing with problems of operation, control, diagnosis and monitoring of integrated power system, power equipment and other.
