ADVANCED SPECTRAL ANALYSIS
ADVANCED SPECTRAL ANALYSIS

Author: Dr. Prince Prashant Sharma

Publisher: JEC PUBLICATION

Published:

Total Pages: 253

ISBN-13: 9358505028

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Spectral analysis is an intricate field that holds the key to understanding a wide range of phenomena across science and engineering. "ADVANCED SPECTRAL ANALYSIS (MPC 201T)" is a comprehensive exploration of this subject, aimed at providing both beginners and experienced practitioners with a deep and practical understanding of spectral analysis techniques. This book is the culmination of extensive research, countless hours of analysis, and the collaboration of numerous experts in the field. It is our intention to bridge the gap between theory and application, offering readers a valuable resource that can be applied to real-world challenges. Throughout these pages, you will find a structured journey into the world of spectral analysis. We delve into the fundamental concepts, mathematical foundations, and advanced techniques, all with the aim of enabling you to make informed and insightful decisions when dealing with spectral data. This knowledge is not just for academics and researchers; it is for engineers, scientists, and anyone seeking a deeper appreciation of the spectral realm. Our approach is to combine theory with practical examples, providing step-by-step guidance on applying spectral analysis to a multitude of scenarios. We believe in demystifying the complex and making the abstract accessible. In this ever-evolving field, our commitment to the reader is to provide a resource that remains relevant and up-to-date. Spectral analysis is not just a subject; it's a living and dynamic field, and we invite you to embark on this journey of discovery with us. We extend our sincere gratitude to all those who have contributed to this endeavor, from researchers and experts to friends and family, whose support and encouragement have been invaluable. This book would not have been possible without your collective efforts.

Spectral Analysis for Physical Applications
Spectral Analysis for Physical Applications

Author: Donald B. Percival

Publisher: Cambridge University Press

Published: 1993-06-03

Total Pages: 616

ISBN-13: 9780521435413

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This book is an up-to-date introduction to univariate spectral analysis at the graduate level, which reflects a new scientific awareness of spectral complexity, as well as the widespread use of spectral analysis on digital computers with considerable computational power. The text provides theoretical and computational guidance on the available techniques, emphasizing those that work in practice. Spectral analysis finds extensive application in the analysis of data arising in many of the physical sciences, ranging from electrical engineering and physics to geophysics and oceanography. A valuable feature of the text is that many examples are given showing the application of spectral analysis to real data sets. Special emphasis is placed on the multitaper technique, because of its practical success in handling spectra with intricate structure, and its power to handle data with or without spectral lines. The text contains a large number of exercises, together with an extensive bibliography.

Introduction to Spectral Analysis
Introduction to Spectral Analysis

Author: Petre Stoica

Publisher: Pearson Education

Published: 1997

Total Pages: 358

ISBN-13:

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This book presents an introduction to spectral analysis that is designed for either course use or self-study. Clear and concise in approach, it develops a firm understanding of tools and techniques as well as a solid background for performing research. Topics covered include nonparametric spectrum analysis (both periodogram-based approaches and filter- bank approaches), parametric spectral analysis using rational spectral models (AR, MA, and ARMA models), parametric method for line spectra, and spatial (array) signal processing. Analytical and Matlab-based computer exercises are included to develop both analytical skills and hands-on experience.

Multi-scale Spectral Analysis in Hydrology
Multi-scale Spectral Analysis in Hydrology

Author: Adarsh S

Publisher: CRC Press

Published: 2021-03-01

Total Pages: 182

ISBN-13: 1000346641

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Accurate prediction of hydrological variables is essential for efficient water resources planning and management. Proper understanding of the characteristics of the time series may help in improving the simulation and forecasting accuracy of hydrological variables. This book presents a detailed description and application of multiscale time-frequency characterization tool for the spectral analysis of hydrological time series. It presents spectral analysis methods for hydrological applications through a wide variety of illustrative case studies including Wavelet transforms, Hilbert Huang Transform and their extensions.

Digital Spectral Analysis
Digital Spectral Analysis

Author: S. Lawrence Marple, Jr.

Publisher: Courier Dover Publications

Published: 2019-03-20

Total Pages: 435

ISBN-13: 048678052X

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Digital Spectral Analysis offers a broad perspective of spectral estimation techniques and their implementation. Coverage includes spectral estimation of discrete-time or discrete-space sequences derived by sampling continuous-time or continuous-space signals. The treatment emphasizes the behavior of each spectral estimator for short data records and provides over 40 techniques described and available as implemented MATLAB functions. In addition to summarizing classical spectral estimation, this text provides theoretical background and review material in linear systems, Fourier transforms, matrix algebra, random processes, and statistics. Topics include Prony's method, parametric methods, the minimum variance method, eigenanalysis-based estimators, multichannel methods, and two-dimensional methods. Suitable for advanced undergraduates and graduate students of electrical engineering — and for scientific use in the signal processing application community outside of universities — the treatment's prerequisites include some knowledge of discrete-time linear system and transform theory, introductory probability and statistics, and linear algebra. 1987 edition.

The Spectral Analysis of Time Series
The Spectral Analysis of Time Series

Author: L. H. Koopmans

Publisher: Academic Press

Published: 2014-05-12

Total Pages: 383

ISBN-13: 1483218546

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The Spectral Analysis of Time Series describes the techniques and theory of the frequency domain analysis of time series. The book discusses the physical processes and the basic features of models of time series. The central feature of all models is the existence of a spectrum by which the time series is decomposed into a linear combination of sines and cosines. The investigator can used Fourier decompositions or other kinds of spectrals in time series analysis. The text explains the Wiener theory of spectral analysis, the spectral representation for weakly stationary stochastic processes, and the real spectral representation. The book also discusses sampling, aliasing, discrete-time models, linear filters that have general properties with applications to continuous-time processes, and the applications of multivariate spectral models. The text describes finite parameter models, the distribution theory of spectral estimates with applications to statistical inference, as well as sampling properties of spectral estimates, experimental design, and spectral computations. The book is intended either as a textbook or for individual reading for one-semester or two-quarter course for students of time series analysis users. It is also suitable for mathematicians or professors of calculus, statistics, and advanced mathematics.

Digital Signal Processing and Spectral Analysis for Scientists
Digital Signal Processing and Spectral Analysis for Scientists

Author: Silvia Maria Alessio

Publisher: Springer

Published: 2015-12-09

Total Pages: 909

ISBN-13: 3319254685

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This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc., and a complete set of MATLAB exercises requiring no previous experience of programming is provided. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient. Where more advanced mathematical tools are necessary, they are included in an Appendix and presented in an easy-to-follow way. With this book, digital signal processing leaves the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines, now facing increasing amounts of data.

Emerging Trends in Advanced Spectroscopy
Emerging Trends in Advanced Spectroscopy

Author: Yang Weiman

Publisher: CRC Press

Published: 2022-09-01

Total Pages: 263

ISBN-13: 1000793591

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Experimental studies carried out by a spectroscopic approach, and the techniques used for investigating the acquired information, can be given a robust modern analytical framework in the design of new materials, and for emphasis on the expansion of physical foundations of new materials. Emerging Trends in Advanced Spectroscopy may help to understand the applications of spectroscopic tools in material characterization. The text also shows how different spectroscopic methods are used by researchers worldwide, and how we can correlate the experimental observations with structural information.Technical topics discussed in the book include:  Geometries, electronic structures and vibrational spectral studies  Advanced spectroscopic techniques in polymer chemistry Spectroscopic portrayals of graphitic structures fluorescent metal nanoclusters as sensory probes for metal ions colorimetric chemo sensor  Nano mixed ferrites and their applications to nanoelectronics  Solid phase astrochemistry

Biointerface Characterization by Advanced IR Spectroscopy
Biointerface Characterization by Advanced IR Spectroscopy

Author: C.-M. Pradier

Publisher: Elsevier

Published: 2011-09-02

Total Pages: 344

ISBN-13: 0444535586

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"There is an increasing interest in research and applications of biosensors and bio-compatability in relation to environmental protection, food and medical safety, implants, early detection of diseases and pollutant detection. This book describes how to characterise amino acids, protein or bacterial strain adsorption on metal and oxide surfaces by using infrared spectroscopy, in a vacuum, in the air or in an aqueous medium. Features description of the principles, experimental setups and parameter interpretation, and the theory for several advanced IR-based techniques for interface characterisation Contains examples which demonstrate the capacity, potential and limits of the IR techniques Helps finding the most adequate mode of analysis."--Publisher.

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Author: Prasad S. Thenkabail

Publisher: CRC Press

Published: 2018-12-07

Total Pages: 385

ISBN-13: 0429775164

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Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective. Key Features of Volume IV: Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible, red-edge, near-infrared, far-infrared, shortwave infrared, and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems.