Discrete Fourier Analysis and Wavelets presents a thorough introduction to the mathematical foundations of signal and image processing. Key concepts and applications are addressed in a thought-provoking...

"Digital Signal Processing: A Computer-Based Approach" is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. Based on user feedback, a number of new topics have been added to the second edition, while some excess topics from the first edition have been removed. The author has...

Identification of a physical system deals with the problem of identifying its mathematical model using the measured input and output data. As the physical system is generally complex, nonlinear, and its input–output data is corrupted noise, there are fundamental theoretical and practical issues that need to be...

• Detailed explanation on how to use basic PrimeFaces UI components...

Nearly seventy percent of the electricity generated worldwide is used by electrical motors. Worldwide, huge research efforts are being made to develop commercially viable three- and multi-phase motor drive...

• Quickly set...

Book + Content Update Program

Master core Excel 2016 tools for building powerful, reliable spreadsheets with Excel 2016 Formulas and Functions. Excel expert Paul McFedries shows how to use Excel 2016’s core features to solve problems and get the answers you need. Using real-world examples, McFedries helps...

The jargon associated with Microsoft Excel's pivot tables ("n-dimensional cross tabulations") makes them look complex, but they're really no more than an easy way to build concise, flexible summaries of long lists of raw values. If you're working with hundreds (or hundreds of thousands) of rows, then pivot...

• Learn about FortiGate and FortiOS 5 starting from the ground up, with no previous knowledge of...

This book focuses on sterilizing grade filters in the biopharmaceutical industry, emphasizing practical applications of universal and dependable operational protocols, integrity testing, and troubleshooting to streamline the production and preparation of pharmaceuticals.

Addresses the complexities of globalizing redundancy in...

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a...