Learn IT - Books tags wavelets

Digital Image Processing Using MATLAB(R)

Prentice Hall, 2003

This is the first book that provides a balanced treatment of image processing basics and software principles used in the practical application of image processing. Working in the MATLAB computing environment, it provides a stable, well-supported set of software tools capable of addressing a broad spectrum of applications in digital image...

Nonlinear Differential Equations in Physics: Novel Methods for Finding Solutions

Springer, 2019

This book discusses various novel analytical and numerical methods for solving partial and fractional differential equations. Moreover, it presents selected numerical methods for solving stochastic point kinetic equations in nuclear reactor dynamics by using Euler–Maruyama and strong-order Taylor numerical methods. The book...

Real Analysis and Applications: Theory in Practice (Undergraduate Texts in Mathematics)

Springer, 2009

This new approach to real analysis stresses the use of the subject in applications, by showing how the principles and theory of real analysis can be applied in a variety of settings in subjects ranging from Fourier series and polynomial approximation to discrete dynamical systems and nonlinear optimization. Users will be prepared for more...

Biometrics, Computer Security Systems and Artificial Intelligence Applications

Springer, 2006

This book presents the most recent achievements in the field of a very fast developing Computer Science. It is a very fascinating science, which still encompasses a number of uncovered areas of study with urgent problems to be solved. Therefore, thousands of scientists are dealing with it elaborating on more and more practical and efficient...

Mathematics of Uncertainty: Ideas, Methods, Application Problems

Springer, 2005

"Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics in which uncertainty, variability, imprecision and fuzziness of data are of importance. This introductory book describes the basic ideas of the mathematical fields of uncertainty from simple interpolation to...

Numerical Recipes 3rd Edition: The Art of Scientific Computing

Cambridge University Press, 2007

Co-authored by four leading scientists from academia and industry, Numerical Recipes Third Edition starts with basic mathematics and computer science and proceeds to complete, working routines. Widely recognized as the most comprehensive, accessible and practical basis for scientific computing, this new edition incorporates more than 400...

Classical Fourier Analysis (Graduate Texts in Mathematics)

Springer, 2008

The primary goal of this text is to present the theoretical foundation of the field of Fourier analysis. This book is mainly addressed to graduate students in mathematics and is designed to serve for a three-course sequence on the subject. The only prerequisite for understanding the text is satisfactory completion of a course in measure theory,...

Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation

Cambridge University Press, 2003

This book provides a seamless approach to numerical algorithms, modern programming techniques and parallel computing. These concepts and tools are usually taught serially across different courses and different textbooks, thus observing the connection between them. The necessity of integrating these subjects usually comes after such courses are...

Computer Vision Metrics: Survey, Taxonomy, and Analysis

Apress, 2014

Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors...

$Wavelets: From Math to Practice$

Wavelets: From Math to Practice

Springer, 2009

The method of wavelet transforms is one key tool in signal processing and control. Modern wavelet theory defines outlines for construction of wavelets and transformations using them. It gives rules that one has to obey to get a wavelet basis with desired properties, meaning that everyone can create a wavelet adequate for the given task. This...

Optimisation in Signal and Image Processing

John Wiley & Sons, 2009

This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic...

Introduction to Data Compression, Third Edition (Morgan Kaufmann Series in Multimedia Information and Systems)

Morgan Kaufmann, 2005

The second edition of Introduction to Data Compression builds on the features that made the first the logical choice-for practitioners who need a comprehensive guide to compression for all types of multimedia and instructors who want to equip their students with solid foundations in these increasingly important and diverse...

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