Digital Signal Processing Using MATLAB and Wavelets (Electrical Engineering) Although DSP has long been considered an EE topic, recent developments have also generated significant interest from the computer science community. DSP applications in the consumer market, such as bioinformatics, the MP3 audio format, and MPEG-based cable/satellite television have fueled a desire to understand this technology outside of hardware...
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... 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 Science This 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 Methods Excellent 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.... 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...
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