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Theoretically, multiwavelets hold significant advantages over standard wavelets, particularly for solving more complicated problems, and hence are of great interest. Meeting the needs of engineers and mathematicians, this book provides a comprehensive overview of multiwavelets. The author presents the theory of wavelets from the viewpoint of general multiwavelets, which includes scalar m-band and standard wavelets as special cases, provides a more coherent approach, and provides alternative proofs and new insights even for standard wavelets. The treatment includes complete MATLAB routines that allow readers to implement and experiment with multiwavelet algorithms.
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Wavelet analysis and its applications have been one of the fastest- growing research areas in the past several years. Wavelet theory has been employed in numerous fields and applications, such as signal and image processing, communication systems, biomedical imaging, radar, and air acoustics.
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Wavelet Transformations and Their Applications in Chemistry pioneers a new approach to classifying existing chemometric techniques for data analysis in one and two dimensions, using a practical applications approach to illustrating chemical examples and problems. Written in a simple, balanced, applications-based style, the book will appeal to both theorists and non-mathematicians._ Wavelet Transforms and Their Applications in Chemistry: -Emphasizes practical applications in chemistry. -Employs straightforward language and examples to show the power of wavelet transforms without overwhelming mathematics. -Reviews other methods and compares wavelets with other techniques that provide similar capabilities. -Uses examples illustrated in MatLab codes to assist chemists in developing applications.
Instrumental analysis --- Wavelets (Mathematics). --- Automation. --- Data processing. --- Wavelets (Mathematics
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For many years, digital signal processing has been governed by the theory of Fourier transform and its numerical implementation. The main disadvantage of Fourier theory is the underlying assumption that the signals have time-wise or space-wise invariant statistical properties. In many applications the deviation from a stationary behavior is precisely the information to be extracted from the signals. Wavelets were developed to serve the purpose of analysing such instationary signals. The book gives an introduction to wavelet theory both in the continuous and the discrete case. After developing
Wavelets (Mathematics) --- Geology --- Geomathematics --- Mathematical geology --- Wavelet analysis --- Harmonic analysis --- Mathematics. --- Wavelets (Mathematics).
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Two-dimensional wavelets offer a number of advantages over discrete wavelet transforms when processing rapidly varying functions and signals. In particular, they offer benefits for real-time applications such as medical imaging, fluid dynamics, shape recognition, image enhancement and target tracking. This book introduces the reader to 2-D wavelets via 1-D continuous wavelet transforms, and includes a long list of useful applications. The authors then describe in detail the underlying mathematics before moving on to more advanced topics such as matrix geometry of wavelet analysis, three-dimensional wavelets and wavelets on a sphere. Throughout the book, practical applications and illustrative examples are used extensively, ensuring the book's value to engineers, physicists and mathematicians alike.
Wavelets (Mathematics) --- 519.65 --- #KVIV:BB --- Approximation. Interpolation --- Wavelets (Mathematics). --- 519.65 Approximation. Interpolation --- Wavelet analysis --- Harmonic analysis
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Fourier analysis --- Harmonic analysis --- Sampling (Statistics) --- Tomography --- Wavelets (Mathematics) --- 519.65 --- Analysis, Fourier --- Mathematical analysis --- 519.65 Approximation. Interpolation --- Approximation. Interpolation --- Wavelet analysis --- Body section radiography --- Computed tomography --- Computer tomography --- Computerized tomography --- CT (Computed tomography) --- Laminagraphy --- Laminography --- Radiological stratigraphy --- Stratigraphy, Radiological --- Tomographic imaging --- Zonography --- Cross-sectional imaging --- Radiography, Medical --- Geometric tomography --- Random sampling --- Statistics of sampling --- Statistics --- Mathematical statistics --- Analysis (Mathematics) --- Functions, Potential --- Potential functions --- Banach algebras --- Calculus --- Mathematics --- Bessel functions --- Fourier series --- Harmonic functions --- Time-series analysis
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