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| | Mathematical Tools in Signal Processing with C++ and Java Simulations
In recent decades, the study of signal processing has become increasingly complex, with new techniques and applications constantly being developed for the processing, transformation, and interpretation of signals. This book provides a comprehensive introduction to the traditional and modern methods used in signal processing. It is designed to... | | Real Analysis with an Introduction to Wavelets and Applications
Real Analysis is based on the real numbers, and it is naturally
involved in practical mathematics. On the other hand, it has taken on
subject matter from set theory, harmonic analysis, integration theory,
probability theory, theory of partial differential equations, etc., and
has provided these areas with important ideas and... |
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Digital Signal Processing: System Analysis and Design
This new, fully-revised edition covers all the major topics of digital signal processing (DSP) design and analysis in a single, all-inclusive volume, interweaving theory with real-world examples and design trade-offs. Building on the success of the original, this edition includes new material on random signal processing, a new chapter on... | | Data Modeling for Metrology and Testing in Measurement ScienceThis book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having a broad range of real-world applications in measurement science. Mainstream methods of data modeling and analysis... | | Analysis of Numerical MethodsExcellent advanced-undergraduate and graduate text covers norms, numerical solution of linear systems and matrix factoring, iterative solutions of nonlinear equations, eigenvalues and eigenvectors, polynomial approximation and more. Careful analysis and stress on techniques for developing new methods. Features examples and problems. 1966 edition.... |
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Wavelets and Their Applications (Digital Signal and Image Processing series)Showing how wavelets combine signal in image processing, mathematics, physics, and electrical engineering, this introduction to wavelet technology helps engineers master the basic techniques for using wavelets in such applications as image compression, turbulence, human vision, radar, and earthquake prediction. Among the topics covered are the... | | Image Fusion: Theories, Techniques and Applications
This textbook provides a comprehensive introduction to the theories, techniques and applications of image fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science. It should also be useful to practicing engineers who wish to learn the concepts of image fusion and use them in... | | A First Course in Fourier AnalysisThis unique book provides a meaningful resource for applied mathematics through Fourier analysis. It develops a unified theory of discrete and continuous (univariate) Fourier analysis, the fast Fourier transform, and a powerful elementary theory of generalized functions and shows how these mathematical ideas can be used to study sampling theory,... |
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Advanced Engineering Mathematics
Through previous editions, Peter O'Neil has made rigorous engineering mathematics topics accessible to thousands of students by emphasizing visuals, numerous examples, and interesting mathematical models. Advanced Engineering Mathematics features a greater number of examples and problems and is fine-tuned throughout to improve the clear... | | Data Hiding Fundamentals and Applications: Content Security in Digital MultimediaMultimedia technologies are becoming more sophisticated, enabling the Internet to accommodate a rapidly growing audience with a full range of services and efficient delivery methods. Although the Internet now puts communication, education, commerce and socialization at our finger tips, its rapid growth has raised some weighty security concerns with... | | Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity
This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are... |
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