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Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford UniversityThe new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explaine
Harmonic analysis. Fourier analysis --- Mathematical control systems --- Electronics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- geluidsleer --- digitale signaalverwerking --- beeldverwerking --- Fourieranalyse --- signaalverwerking --- Statistical methods --- Mathematical models --- Data processing --- signals --- Signal processing --- Wavelets (Mathematics) --- Mathematics. --- Mathematics --- 534 --- 534 Vibrations. Acoustics --- Vibrations. Acoustics --- Wavelet analysis --- Harmonic analysis --- Signal processing - Mathematics
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Nonlinear time series methods have developed rapidly over a quarter of a century and have reached an advanced state of maturity during the last decade. Implementations of these methods for experimental data are now widely accepted and fairly routine; however, genuinely useful applications remain rare. This book focuses on the practice of applying these methods to solve real problems.To illustrate the usefulness of these methods, a wide variety of physical and physiological systems are considered. The technical tools utilized in this book fall into three distinct, but interconnected areas:
Time-series analysis --- Nonlinear theories --- Nonlinear theories. --- Time-series analysis. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Nonlinear problems --- Nonlinearity (Mathematics) --- Analysis of time series --- Calculus --- Mathematical analysis --- Mathematical physics --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities
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This book which provides an overview of contemporary topics related to the modelling of financial time series, is set against a backdrop of rapid expansions of interest in both the models themselves and the financial problems to which they are applied. This excellent textbook covers all the major developments in the area in recent years in an informative as well as succinct way. Refreshingly, every chapter has a section of two or more examples and a section of empirical literature, offering the reader the opportunity to practice the kind of research going on in the area. This approach helps the reader develop interest, confidence and momentum in learning contemporary econometric topics.
Finance --- Time-series analysis --- Stochastic processes --- Econometric models --- Time-series analysis. --- Stochastic processes. --- Random processes --- Probabilities --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Econometric models. --- Finance -- Econometric models. --- Finance - Econometric models
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Originally published in 1999, Wavelets Made Easy offers a lucid and concise explanation of mathematical wavelets. Written at the level of a first course in calculus and linear algebra, its accessible presentation is designed for undergraduates in a variety of disciplines—computer science, engineering, mathematics, mathematical sciences—as well as for practicing professionals in these areas. The present softcover reprint retains the corrections from the second printing (2001) and makes this unique text available to a wider audience. The first chapter starts with a description of the key features and applications of wavelets, focusing on Haar's wavelets but using only high school mathematics. The next two chapters introduce one-, two-, and three-dimensional wavelets, with only the occasional use of matrix algebra. The second part of this book provides the foundations of least-squares approximation, the discrete Fourier transform, and Fourier series. The third part explains the Fourier transform and then demonstrates how to apply basic Fourier analysis to designing and analyzing mathematical wavelets. Particular attention is paid to Daubechies wavelets. Numerous exercises, a bibliography, and a comprehensive index combine to make this book an excellent text for the classroom as well as a valuable resource for self-study.
Wavelets (Mathematics) --- 519.6 --- 519.65 --- 519.65 Approximation. Interpolation --- Approximation. Interpolation --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Computational mathematics. Numerical analysis. Computer programming --- Wavelet analysis --- Harmonic analysis --- Wavelets (Mathematics). --- Civil & Environmental Engineering --- Operations Research --- Applied Mathematics --- 517.518.8 --- 517.518.8 Approximation of functions by polynomials and their generalizations --- Approximation of functions by polynomials and their generalizations --- Ondelettes --- Mathematics. --- Harmonic analysis. --- Fourier analysis. --- Applied mathematics. --- Engineering mathematics. --- Computer mathematics. --- Electrical engineering. --- Abstract Harmonic Analysis. --- Fourier Analysis. --- Electrical Engineering. --- Applications of Mathematics. --- Computational Mathematics and Numerical Analysis. --- Algebra --- Harmonic analysis. Fourier analysis --- Analysis (Mathematics) --- Functions, Potential --- Potential functions --- Banach algebras --- Calculus --- Mathematical analysis --- Mathematics --- Bessel functions --- Fourier series --- Harmonic functions --- Time-series analysis --- Computer engineering. --- Computer science --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Math --- Science --- Computers --- Analysis, Fourier --- Design and construction --- Ondelettes. --- Engineering --- Engineering analysis --- Electric engineering --- Functional analysis. --- Functional Analysis. --- Functional calculus --- Calculus of variations --- Functional equations --- Integral equations
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This classic text is known to and used by thousands of mathematicians and students of mathematics throughout the world. It gives an introduction to the general theory of infinite processes and of analytic functions together with an account of the principal transcendental functions.
Series, Infinite --- Analytic functions --- Harmonic analysis --- 515.243 --- Infinite series --- Analysis (Mathematics) --- Functions, Potential --- Potential functions --- Banach algebras --- Calculus --- Mathematical analysis --- Mathematics --- Bessel functions --- Fourier series --- Harmonic functions --- Time-series analysis --- Functions, Analytic --- Functions, Monogenic --- Functions, Regular --- Regular functions --- Functions of complex variables --- Series, Taylor's --- Mathematical Sciences --- General and Others --- Series, Infinite. --- Functions. --- Harmonic analysis. --- Differential equations --- Numbers, Complex --- Set theory --- Analytic functions. --- Functions
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Groups & Geometric Analysis
Lie groups. --- Geometry, Differential. --- Differential geometry --- Groups, Lie --- Lie algebras --- Symmetric spaces --- Topological groups --- Geometry, Differential --- Lie groups --- 517.986.6 --- 517.986.6 Harmonic analysis of functions of groups and homogeneous spaces --- Harmonic analysis of functions of groups and homogeneous spaces --- Groupes compacts. --- Compact groups --- Integral transforms --- Transformations intégrales --- Radon transforms. --- Radon, Transformations de. --- Meetkunde (Differentiaal-) --- Algèbres de Lie. --- Géométrie différentielle --- Lie (Algebra's van). --- Géometrie différentielle --- Géometrie intégrale --- Géometrie différentielle --- Géometrie intégrale --- Radon, Transformations de --- Analyse harmonique --- Analyse sur une variété
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To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain) analysis of time series. This classic book provides an introduction to the techniques and theories of spectral analysis of time series. In a discursive style, and with minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unifi
Spectral theory (Mathematics) --- Time-series analysis. --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Functional analysis --- Hilbert space --- Measure theory --- Transformations (Mathematics) --- Time-series analysis --- 519.55 --- 519.2 --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Spectral theory (Mathematics).
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Deconvolution of Geophysical Time Series in the Exploration for Oil and Natural Gas
Seismic reflection method --- Petroleum --- Time-series analysis --- Natural gas --- Deconvolution --- Time-series analysis. --- Petroleum. --- Natural gas. --- Gas, Natural --- Sour gas --- Gases, Asphyxiating and poisonous --- Hydrocarbons --- Coal-oil --- Crude oil --- Oil --- Caustobioliths --- Mineral oils --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Deconvolution in seismic reflection --- Deconvolution. --- Data processing --- Pétrole --- Gaz naturel --- Prospection. --- Prospecting --- Géologie. --- Geology --- Prospection --- Géologie --- Seismic reflection method - Deconvolution
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The study of permutation complexity can be envisioned as a new kind of symbolic dynamics whose basic blocks are ordinal patterns, that is, permutations defined by the order relations among points in the orbits of dynamical systems. Since its inception in 2002 the concept of permutation entropy has sparked a new branch of research in particular regarding the time series analysis of dynamical systems that capitalizes on the order structure of the state space. Indeed, on one hand ordinal patterns and periodic points are closely related, yet ordinal patterns are amenable to numerical methods, while periodicity is not. Another interesting feature is that since it can be shown that random (unconstrained) dynamics has no forbidden patterns with probability one, their existence can be used as a fingerprint to identify any deterministic origin of orbit generation. This book is primarily addressed to researchers working in the field of nonlinear dynamics and complex systems, yet will also be suitable for graduate students interested in these subjects. The presentation is a compromise between mathematical rigor and pedagogical approach. Accordingly, some of the more mathematical background needed for more in depth understanding has been shifted into the appendices.
Nonlinear theories. --- Time-series analysis. --- Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Analysis of time series --- Statistical methods --- Physics. --- Data structures (Computer science). --- Applied mathematics. --- Engineering mathematics. --- Statistical physics. --- Dynamical systems. --- Statistical Physics, Dynamical Systems and Complexity. --- Mathematical Methods in Physics. --- Data Structures, Cryptology and Information Theory. --- Applications of Mathematics. --- Statistics --- Probabilities --- Sampling (Statistics) --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Time-series analysis
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An Introduction to Non-Harmonic Fourier Series, Revised Edition is an update of a widely known and highly respected classic textbook.Throughout the book, material has also been added on recent developments, including stability theory, the frame radius, and applications to signal analysis and the control of partial differential equations.
Fourier series. --- Fourier series --- 517.518.4 --- 517.518.5 --- 517.51 --- Fourier integrals --- Series, Fourier --- Series, Trigonometric --- Trigonometric series --- Calculus --- Fourier analysis --- Harmonic analysis --- Harmonic functions --- 517.518.5 Theory of the Fourier integral --- Theory of the Fourier integral --- 517.51 Functions of a real variable. Real functions --- Functions of a real variable. Real functions --- 517.518.4 Trigonometric series --- Acqui 2006
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