In this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e. Wiener filtering. Then, they analyze iterative methods for solving the optimization problem, e.g....

Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday data analysis by practitioners. While scores of...

Principles of Bone Regeneration is a timely publication that addresses the modern aspects of bone healing and repair. This exciting new volume details the convergence of the different experimental and clinical approaches designed for the study and treatment of bone healing in its diverse forms and under varying...

The book concerns the notion of association in probability and statistics. Association and some other positive dependence notions were introduced in 1966 and 1967 but received little attention from the probabilistic and statistics community. The interest in these dependence notions increased in the last 15 to 20 years, and many asymptotic...

Reason in Action collects John Finnis' work on the theory of practical reason and moral philosophy. The essays in the volume range from foundational issues of meta-ethics to the practical application of natural law theory to ethical problems such as nuclear deterrence, obscenity and free speech, and abortion and cloning.
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MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

This first volume, a three-part introduction to the subject, is intended for students with a beginning knowledge of mathematical analysis who are motivated to discover the ideas that shape Fourier analysis. It begins with the simple conviction that Fourier arrived at in the early nineteenth century when studying problems in the physical...

Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. For...

With more than 50,000 copies sold, Alan Farley’s The Master Swing Trader has become the definitive guide for maximizing profit from short-term price moves. Now in his highly anticipated companion volume, The Master Swing Trader Toolkit: The Market Survival Guide, Farley builds on his proven strategies and techniques and...

The classification of services in the digital economy proves critical for doing business, but it appears to be a particularly complex regulatory matter that is based upon a manifold set of issues. In the context of the General Agreement on Trade in Services (GATS), when the services classification scheme was drafted in the early 1990s,...

In high power, high voltage electronics systems, a strategy to manage short timescale energy imbalances is fundamental to the system reliability. Without a theoretical framework, harmful local convergence of energy can affect the dynamic process of transformation, transmission, and storage which create an unreliable system. With an original...

This volume brings together papers that offer conceptual analyses, highlight issues, propose solutions, and discuss practices regarding privacy and data protection. The first section of the book provides an overview of developments in data protection in different parts of the world. The second section focuses on one of the most captivating...