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Until his early retirement at age 50, Hasse Ekman was one of the leading lights of Swedish cinema, an actor, writer, and director of prodigious talents. Yet today his work is virtually unknown outside of Sweden, eclipsed by the filmography of his occasional collaborator (and frequent rival) Ingmar Bergman. This comprehensive introduction-the first ever in English-follows Ekman's career from his early days as a film journalist, through landmark films such as Girl with Hyacinths (1950), to his retirement amid exhaustion and disillusionment. Combining historical context with insightful analyses of Ekman's styles and themes, this long overdue study considerably enriches our understanding of Swedish film history.
Until his early retirement at age 50, Hasse Ekman was one of the leading lights of Swedish cinema, an actor, writer, and director of prodigious talents. Yet today his work is virtually unknown outside of Sweden, eclipsed by the filmography of his occasional collaborator (and frequent rival) Ingmar Bergman. This comprehensive introduction-the first ever in English-follows Ekman's career from his early days as a film journalist, through landmark films such as Girl with Hyacinths (1950), to his retirement amid exhaustion and disillusionment. Combining historical context with insightful analyses of Ekman's styles and themes, this long overdue study considerably enriches our understanding of Swedish film history.
This beginner's introduction to MATLAB teaches a sufficient subset of the functionality and gives the reader practical experience on how to find more information. A forty-page appendix contains unique user-friendly summaries and tables of MATLAB functions enabling the reader to find appropriate functions, understand their syntax and get a good overview. The large number of exercises, tips, and solutions mean that the course can be followed with or without a computer. Recent development in MATLAB to advance programming is described using realistic examples in order to prepare students for larger programming projects. Revolutionary step by step 'guided tour' eliminates the steep learning curve encountered in learning new programming languages. Each chapter corresponds to an actual engineering course, where examples in MATLAB illustrate the typical theory, providing a practical understanding of these courses. Complementary homepage contains exercises, a take-home examination, and an automatic marking that grades the solution. End of chapter exercises with selected solutions in an appendix. The development of MATLAB programming and the rapid increase in the use of MATLAB in engineering courses makes this a valuable self-study guide for both engineering students and practising engineers. Readers will find that this time-less material can be used throughout their education and into their career.
Based on the new 'guided-tour' concept that eliminates the start-up transient encountered in learning new programming languages, this beginner's introduction to MATLAB teaches a sufficient subset of the functionality and gives the reader practical experience on how to find more information. Recent developments in MATLAB to advance programming are described using realistic examples in order to prepare students for larger programming projects. In addition, a large number of exercises, tips, and solutions mean that the course can be followed with or without a computer. The development of MATLAB programming and its use in engineering courses makes this a valuable self-study guide for both engineering students and practicing engineers.
Adaptive filtering is a classical branch of digital signal processing (DSP). Industrial interest in adaptive filtering grows continuously with the increase in computer performance that allows ever more conplex algorithms to be run in real-time. Change detection is a type of adaptive filtering for non-stationary signals and is also the basic tool in fault detection and diagnosis. Often considered as separate subjects Adaptive Filtering and Change Detection bridges a gap in the literature with a unified treatment of these areas, emphasizing that change detection is a natural extension of adaptive filters, and adaptive filters are the basic building blocks in all change detectors.
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