Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. Now, preserving the style and main features of the earlier award-winning publication, Fundamentals of Adaptive Filtering (2005 Terman Award), the author offers readers and instructors a concentrated, systematic, and up-to-date treatment of the subject in this valuable new book.

Adaptive Filters allows readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts—each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB® solutions available to all readers. Additional features include:

• Numerous tables, figures, and projects

• Special focus on geometric constructions, physical intuition, linear-algebraic concepts, and vector notation

• Background material on random variables, linear algebra, and complex gradients collected in three introductory chapters

• Complete solutions manual available for instructors

• MATLAB® solutions available for all computer projects

Adaptive Filters offers a fresh, focused look at the subject in a manner that will entice students, challenge experts, and appeal to practitioners and instructors.

About the Author

Ali H. Sayed is Professor of Electrical Engineering at UCLA, where he established and directs the Adaptive Systems Laboratory. He is a Fellow of the IEEE for his contributions to adaptive filtering and estimation algorithms. His research has attracted several recognitions including the 2003 Kuwait Prize, 2005 Terman Award, and several IEEE Best Paper Awards.

The concept of fuzzing has been around for almost two decades but has only recently captured widespread attention. In 2006, we saw a plague of new vulnerabilities emerge that affected popular client-side applications including Microsoft Internet Explorer, Microsoft Word and Microsoft Excel; a large portion of these vulnerabilities were discovered through fuzzing. As a result of fuzzing being used so successfully on these mainstream products, it has received a resurgence of attention from the security community. The sheer fact that this is the first published book dedicated to the subject matter is an additional indicator that there is an increasing interest in fuzzing.

Having been involved in the vulnerability research community for years, we have used a variety of fuzzing technologies in our day to day work, ranging from hobby projects to high end commercial products. Each of the authors has been involved in the development of both privately held and publicly released fuzzers. We leveraged our combined experience and ongoing research projects to compose this bleeding edge book, which we hope you will find useful.

We strongly believe that the quantity and severity of vulnerabilities will continue to grow so long as security is deemed to be the sole responsibility of a security team. As such, we have taken strong efforts to write for a larger audience than just security researchers, including both readers who are new to fuzzing and those who have already had significant experience.

It is unrealistic to believe that secure applications can emerge from the development process if development organizations simply hand completed applications to a security team for a quick audit prior to production launch. Gone are the days when a developer or a member of the QA Team can say, "security's not my problem – we have a security team that worries about that". Security must now be everyone's problem. Security must be baked into the software development lifecycle (SDLC), not brushed on at the end.

Asking the development and QA teams to focus on security can be a tall order, especially for those that have not been asked to do so in the past. We believe that fuzzing presents a unique vulnerability discovery methodology that is accessible to a wide audience due to the fact that it can be highly automated. While we are hopeful that seasoned security researchers will gain valuable insights from this book, we are equally hopeful that it will be accessible to developers and QA teams. Fuzzing can and should be an integral part of any SDLC, not just at the testing phase, but also during development. The earlier a defect can be identified, the less costly it will be to remediate.

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 techniques.
This book provides an extensive introduction to the theory underlying today's compression techniques, with detailed, instruction for their application. All of the coverage has been updated to reflect the state of the art in data compression, including both new algorithms and older methods for which new uses are being found. And the downloadable software gives you the opportunity to see firsthand how various algorithms work, to choose and implement appropriate techniques in your own applications, and to build your own algorithms.

Features

• Fully updated to cover the most recent lossy and lossless compression techniques, including wavelets, subband coding, predictive lossless techniques, and Huffman coding variants.
  
• Explains established and emerging standards in depth: JPEG 2000, JPEG-LS, MPEG 2, Group 3 and 4 Faxes, JBIG 2, ADPCM, LPC, CELP, and MELP.
  
• Includes an new chapter providing the mathematical background required for understanding wavelets and subband coding.
  
• Via the companion Web site, provides source code that enables you to experiment with a wide range of compression techniques, along with sample data and updates on the latest developments in the compression field.

About the Author

Khalid Sayood received his BS and MS in Electrical Engineering from the University of Rochester in 1977 and 1979, respectively, and his Ph.D. in Electrical Engineering from Texas A&M University in 1982. In 1982, he joined the University of Nebraska, where he is the Henson Professor of Engineering. His research interests include data compression, joint source channel coding, and bioinformatics.

SAP was founded in 1972 in Walldorf, Germany. The name is an acronym for “Systeme, Anwendungen, Produkte in der Datenverarbeitung,” meaning “systems, applications, and products in data processing.” SAP is in a consistent state of change with over 9,000 developers and researchers adapting it to the market and striving to offer consistently better business solutions. As a result, the company is the world’s leading enterprise resource planning software provider.

With over 30 years of experience and being utilized in over 25 industries and approximately 34,600 companies, it is estimated that SAP has approximately 120 million users in more than 120 countries around the world. With such an impressive history it is not surprising that today SAP offers a wide range of solutions, products, and applications. This book is focused on the mySAP ERP application, which is the follow-up product to SAP R/3 software. mySAP ERP is one of the applications within the mySAP Business Suite, which includes

• mySAP ERP
• mySAP Supply Chain Management (SCM)
• mySAP Customer Relationship Management (CRM)
• mySAP Supplier Relationship Management (SRM)
• mySAP Product Lifestyle Management (PLM)

At the time of writing this book, the latest release of mySAP ERP is SAP ERP Central Component (ECC6). Within mySAP ERP there are a number of applications, such as Financials and Manufacturing. Of these applications we are focusing on the Sales and Distribution application.