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The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. This book covers the foundations of the bootstrap, its properties, its strengths and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering and automotive engineering.
This three-volume book highlights significant advances in the development of new information systems technologies and architectures. Further, it helps readers solve specific research and analytical problems and glean useful knowledge and business value from data. Each chapter provides an analysis of a specific technical problem, followed by a numerical analysis, simulation, and implementation of the solution to the real-world problem. Managing an organization, especially in today’s rapidly changing environment, is a highly complex process. Increased competition in the marketplace, especially as a result of the massive and successful entry of foreign businesses into domestic markets, change...
This book constitutes the proceeding from IEEE EMBS International Student Conference (ISC) held online in Zabrze, 11-12th December, 2020. The conference was organized in cooperation between Students from Silesian University of Technology (Gliwice, Poland) and AGH University of Science and Technology (Kraków, Poland). The book consists of twenty full papers. Each submission included in this proceeding was subjected to a review process and accepted by the Conference Program Committee. IEEE Engineering in Medicine and Biology Society (EMBS) is the world’s largest international society of biomedical engineers. The organization’s 12,000 members reside in some 97 countries around the world. E...
Rising fuel prices, stricter emission standards, as well as the increasing demands from consumers for driving comfort, all motivate the rapid development and improvement of combustion engine control systems. New concepts, such as variable valve timing systems, downsizing in combination with supercharging systems and new injection systems bring significant advantages for engines, however they result in increased system complexity. In order to provide optimal operating conditions for these concepts, advanced control and diagnosis strategies are necessary. They require feedback information from the combustion chamber. The in-cylinder pressure has a close relationship to the thermodynamics of a ...
This book collects selected papers by authors for CODATA 2006, which are relevant to the acquisition of knowledge and the assessment of risk and opportunity that comes from combining data from a number of different disciplines.