Fredrik Gustafsson

Utan nya innovationer och ett ständigt förnyelsearbete överlever inte företagen och den svenska välfärden. Idag kan konkurrenter dyka upp när sär som helst och var som helst i världen En gång i tiden var vi i Sverige världsberömda för våra uppfinningar, men nu har vi alltför få lönsamma innovationer jämfört med många andra länder. Detta trots stora satsningar på forskning och utveckling. Fenomenet kallas Den svenska paradoxen. Problemet är allvarligt i en tid då tillväxt och välfärd skapas genom högteknologiska småföretag. Under de kommande årtiondena kommer antalet lönsamma innovationer vara helt avgörande om ett land blomstrar eller stagnerar. För de länder som hamnar i stagnation väntar arbetslöshet, utanförskap och svårigheter att försörja en åldrande befolkning. Framtiden ligger i våra händer. Ett innovationsvänligt och hållbart samhälle behöver goda grundförutsättningar. Politik, näringsliv och utbildning måste samverka för att ta tillvara på mångfalden och leda Sverige till ett möjligheternas land för alla medborgare. Om vi står inför vår bästa tid eller inte, beror på en enda sak; är det lätt eller svårt att förverkliga nya idéer? I denna debattantologi ger Stefan Löfvén, Annie Lööf, Johan Rockström, Anna Ryott och Larry Leksell samt andra ledande forskare, debattörer och näringslivsprofiler sin syn på Sveriges stora ödesfråga: Hur ska vi återta vår position som väldens ledande innovationsland?

Statistical Sensor FusionSensor fusion deals with merging information from two or more sensors, where the area of statistical signal processing provides a powerful tool­box to attack both theoretical and practical problems. The book spans the whole range from mathematical foundations pro­vided in extensive appendices, to real-world problems covered in a part surveying standard sensors, motion models and applications in this field. Statistical Sensor Fusion - Exercises. This book contains a comprehensive set of exercises and can be used along with the textbook Statistical Sensor Fusion by Fredrik Gustafsson.

Sensor fusion deals with merging information from two or more sensors, where the area of statistical signal processing provides a powerful tool­box to attack both theoretical and practical problems. The objective of this book is to explain state of the art theory and algo­rithms in statistical sensor fusion, covering estimation, detection and non­linear filtering theory with applications to localization, navi­gation and tracking problems. The book starts with a review of the theory on linear and nonlinear estimation, with a focus on sensor network applications. Then, general nonlinear filter theory is surveyed with a particular attention to different variants of the Kalman filter and the particle filter. Complexity and implementation issues are discussed in detail. Simultaneous localization and mapping (SLAM) is used as a challenging application area of high-dimensional nonlinear filtering problems. The book spans the whole range from mathematical foundations pro­vided in extensive appendices, to real-world problems covered in a part surveying standard sensors, motion models and applications in this field. All models and algorithms are available as object-oriented Matlab code with an extensive data file library, and the examples, which are richly used to illustrate the theory, are supplemented by fully reproducible Matlab code.

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 book is written for students at bachelor and master programs and has four different purposes, which split the book into four parts: 1. To teach first or early year undergraduate engineering students basic knowledge in technical computations and programming using MATLAB. The first part starts from first principles and is therefore well suited both for readers with prior exposure to MATLAB but lacking a solid foundational knowledge of the capabilities of the system and readers not having any previous experience with MATLAB. The foundational knowledge gained from these interactive guided tours of the system will hopefully be sufficient for an effective utilization of MATLAB in the engineering profession, in education and in research. 2. To explain the foundations of more advanced use of MATLAB using the facilities added the last couple of years, such as extended data structures, object orientation and advanced graphics. 3. To give an introduction to the use of MATLAB in typical undergraduate courses in electrical engineering and mathematics, such as calculus, algebra, numerical analysis and statistics. This part also contains introductions and mini-manuals to the most used MATLAB toolboxes. Thus, some chapters require additional MATLAB toolboxes. The idea is to give a brief tutorial on each subject and show the possibilities for applying MATLAB to each application area. We have focused on basic concepts in the applications, without trying to explain all theory behind the examples.

What role the state should and can play in bringing about economic development is one of the longest standing debates in the economic sciences. Yet, previous research has mostly focused on how a variety of industrial policies affect static efficiency. Few studies have tried to analyze how industrial policy and government intervention affects dynamic efficiency, i.e. an economys ability to generate lasting economic growth. The present study argues that interventionist industrial policy can only have a positive effect on dynamic efficiency if it manages to resolve market failures. This means that the question of whether a given set of government interventions and industrial policies have speeded up or slowed down development can be answered through a market failure approach. That is, by studying whether the policies could have resolved any market failures that negatively affect dynamic efficiency. The study also theoretically identifies a number of such generic market failures. The study then uses a market failure approach to analyze Malaysias industrial policies vis-à-vis the domestic palm oil industry. A previous study has claimed that the policies vis-à-vis this industry represent perhaps the foremost example of successful industrial policy in Malaysia. The present study challenges this view. It argues that, while there are isolated examples of industrial policies vis-à-vis the palm oil industry that might have increased both static and dynamic efficiency by resolving market failures, it is at the moment not possible to conclude that the net effect of the policies have been positive, or that dynamic efficiency would have been significantly lower had the government opted for a laissez-faire industrial policy.

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.

Adaptive filtering is a branch of digital signal processing which enables the selective enhancement of desired elements of a signal and the reduction of undesired elements. Change detection is another kind of adaptive filtering for non-stationary signals, and is the basic tool in fault detection and diagnosis. This text takes the unique approach that change detection is a natural extension of adaptive filtering, and the broad coverage encompasses both the mathematical tools needed for adaptive filtering and change detection and the applications of the technology. Real engineering applications covered include aircraft, automotive, communication systems, signal processing and automatic control problems. The unique integration of both theory and practical applications makes this book a valuable resource combining information otherwise only available in separate sources ? Comprehensive coverage includes many examples and case studies to illustrate the ideas and show what can be achieved ? Uniquely integrates applications to airborne, automotive and communications systems with the essential mathematical tools ? Accompanying Matlab toolbox available on the web illustrating the main ideas and enabling the reader to do simulations using all the figures and numerical examples featured This text would prove to be an essential reference for postgraduates and researchers studying digital signal processing as well as practising digital signal processing engineers.