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Bayesian Signal Processing

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Presents the Bayesian approach to statistical signal processing for a variety of useful model sets This book aims to give readers a unified Bayesian treatment starting from the basics (Baye’s rule) to the more advanced (Monte Carlo sampling), evolving to the next-generation model-based techniques (sequential Monte Carlo sampling). This next edition incorporates a new chapter on “Sequential Bayesian Detection,” a new section on “Ensemble Kalman Filters” as well as an expansion of Case Studies that detail Bayesian solutions for a variety of applications. These studies illustrate Bayesian approaches to real-world problems incorporating detailed particle filter designs, adaptive particle filters and sequential Bayesian detectors. In addition to these major developments a variety of sections are expanded to “fill-in-the gaps” of the first edition. Here metrics for particle filter (PF) designs with emphasis on classical “sanity testing” lead to ensemble techniques as a basic requirement for performance analysis. The expansion of information theory metrics and their application to PF designs is fully developed and applied. These expansions of the book have been updated to provide a more cohesive discussion of Bayesian processing with examples and applications enabling the comprehension of alternative approaches to solving estimation/detection problems. The second edition of Bayesian Signal Processing features: “Classical” Kalman filtering for linear, linearized, and nonlinear systems; “modern” unscented and ensemble Kalman filters: and the “next-generation” Bayesian particle filters Sequential Bayesian detection techniques incorporating model-based schemes for a variety of real-world problems Practical Bayesian processor designs including comprehensive methods of performance analysis ranging from simple sanity testing and ensemble techniques to sophisticated information metrics New case studies on adaptive particle filtering and sequential Bayesian detection are covered detailing more Bayesian approaches to applied problem solving MATLAB® notes at the end of each chapter help readers solve complex problems using readily available software commands and point out other software packages available Problem sets included to test readers’ knowledge and help them put their new skills into practice Bayesian Signal Processing, Second Edition is written for all students, scientists, and engineers who investigate and apply signal processing to their everyday problems.
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Bayesian Signal Processing продается в интернет-магазине ЛитРес
Эксперт: Святослав В., товарный критик
Дата рецензии: 7 июля 2025 года
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Have you tried using an «automated» GUI testing tool, only to find that you spent most of your time configuring, adjusting, and directing it? This book presents a sensible and highly effective alternative: it teaches you to build and use your own truly automated tool. The procedure you'll learn is suitable for virtually any development environment, and the tool allows you to store your test data and verification standard separately, so you can build it once and use it for other GUIs. Most, if not all, of your work can be done without test scripts, because the tool itself can easily be made to conduct an automatic GUI survey, collect test data, and generate test cases. You'll spend virtually none of your time playing with the tool or application under test. Code-intensive examples support all of the book's instruction, which includes these key topics: Building a C# API text viewer Building a test monkey Developing an XML viewer using xPath and other XML-related classes Building complex, serializable classes for GUI test verification Automatically testing executable GUI applications and user-defined GUI controls Testing managed (.NET) and unmanaged GUI applications Automatically testing different GUI controls, including Label, TextBox, Button, CheckBox, RadioButton, Menu Verifying test results Effective GUI Test Automation is the perfect complement to Li and Wu's previous book, Effective Software Test Automation: Developing an Automated Software Testing Tool. Together, they provide programmers, testers, designers, and managers with a complete and cohesive way to create a smoother, swifter development process—and, as a result, software that is as bug-free as possible.
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Quicken All-in-One Desk Reference For Dummies
Quicken is the #1 personal finance software on the market, with greater than 70 percent retail market share and 16 million active users This book features eight minibooks comprising nearly 750 pages-all the information people need to get the most out of the latest Quicken release, get their finances under control, start building a nest egg, and pay less to the IRS The only book on the market to include coverage on Quicken Premier Home & Business Minibook topics include personal finance basics, an introduction to Quicken, household finances, planning ahead and saving, tracking investments, retirement planning, taxes, and managing small business finances Quicken books are consistent top sellers, with more than 900,000 copies of Quicken For Dummies sold in all in all editions
Цена 2425 руб.
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