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A comprehensive volume that covers a complete array of traditional and alternative investment vehicles This practical guide provides a comprehensive overview of traditional and alternative investment vehicles for professional and individual investors hoping to gain a deeper understanding of the benefits and pitfalls of using these products. In it, expert authors Mark Anson, Frank Fabozzi, and Frank Jones clearly present the major principles and methods of investing and their risks and rewards. Along the way, they focus on providing you with the information needed to successfully invest using a host of different methods depending upon your needs and goals. Topics include equities, all types of fixed income securities, investment-oriented insurance products, mutual funds, closed-end funds, investment companies, exchange-traded funds, futures, options, hedge funds, private equity, and real estate Written by the expert author team of Mark Anson, Frank Fabozzi, and Frank Jones Includes valuable insights for everyone from finance professionals to individual investors Many finance books offer collections of expertise on one or two areas of finance, but The Handbook of Traditional and Alternative Investment Vehicles brings all of these topics together in one comprehensive volume.

Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven – there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility. Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society. Key features: Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications. Covers a wide range of applications in fields including unmanned vehicles/robotics, oil refineries, chemical industry, evolving user behaviour and activity recognition. Reviews traditional fields including clustering, classification, control, fault detection and anomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms. Accompanied by a website hosting additional material, including the software toolbox and lecture notes. Autonomous Learning Systems provides a ‘one-stop shop’ on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers.

Presents simulation techniques that substantially increase designers' control over the oscillationin autonomous circuits This book facilitates a sound understanding of the free-running oscillation mechanism, the start-up from the noise level, and the establishment of the steady-state oscillation. It deals with the operation principles and main characteristics of free-running and injection-locked oscillators, coupled oscillators, and parametric frequency dividers. Analysis and Design of Autonomous Microwave Circuits provides: An exploration of the main nonlinear-analysis methods, with emphasis on harmonic balance and envelope transient methods Techniques for the efficient simulation of the most common autonomous regimes A presentation and comparison of the main stability-analysis methods in the frequency domain A detailed examination of the instabilization mechanisms that delimit the operation bands of autonomous circuits Coverage of techniques used to eliminate common types of undesired behavior, such as spurious oscillations, hysteresis, and chaos A thorough presentation of the oscillator phase noise A comparison of the main methodologies of phase-noise analysis Techniques for autonomous circuit optimization, based on harmonic balance A consideration of different design objectives: presetting the oscillation frequency and output power, increasing efficiency, modifying the transient duration, and imposing operation bands Analysis and Design of Autonomous Microwave Circuits is a valuable resource for microwave designers, oscillator designers, and graduate students in RF microwave design.

Morphing Aerospace Vehicles and Structures provides a highly timely presentation of the state-of-the-art, future directions and technical requirements of morphing aircraft. Divided into three sections it addresses morphing aircraft, bio-inspiration, and smart structures with specific focus on the flight control, aerodynamics, bio-mechanics, materials, and structures of these vehicles as well as power requirements and the use of advanced piezo materials and smart actuators. The tutorial approach adopted by the contributors, including underlying concepts and mathematical formulations, unifies the methodologies and tools required to provide practicing engineers and applied researchers with the insight to synthesize morphing air vehicles and morphing structures, as well as offering direction for future research.

Providing a detailed overview of the fundamentals and latest developments in the field of energy autonomous microsystems, this book delivers an in-depth study of the applications in the fields of health and usage monitoring in aeronautics, medical implants, and home automation, drawing out the main specifications on such systems. Introductory information on photovoltaic, thermal and mechanical energy harvesting, and conversion, is given, along with the latest results in these fields. This book also provides a state of the art of ultra-low power sensor interfaces, digital signal processing and wireless communications. In addition, energy optimizations at the sensor node and sensors network levels are discussed, thus completing this overview. This book details the challenges and latest techniques available to readers who are interested in this field. A major strength of this book is that the first three chapters are application orientated and thus, by setting the landscape, introduce the technical chapters. There is also a good balance between the technical application, covering all the system-related aspects and, within each chapter, details on the physics, materials and technologies associated with electronics. Contents Introduction. Introduction to Energy Autonomous Micro?and Nano Systems and Presentation of Contributions, Marc Belleville and Cyril Condemine. 1. Sensors at the Core of Building Control, Gilles Chabanis, Laurent Chiesi, Hynek Raisigel,?Isabelle Ressejac and Veronique Boutin. 2. Toward Energy Autonomous MedicalImplants, Raymond Campagnolo and Daniel Kroiss. 3. Energy Autonomous Systems in Aeronautic Applications, Thomas Becker, Jirka Klaue and Martin Kluge. 4. Energy Harvesting by Photovoltaic Effect, Emmanuelle Rouviere, Simon Perraud, Cyril Condemine and?Guy Waltisperger. 5. Mechanical Energy Harvesting, Ghislain Despesse, Jean Jacques Chaillout,?Sebastien Boisseau and Claire Jean-Mistral. 6. Thermal Energy Harvesting, Tristan Caroff, Emmanuelle Rouviere and Jerome Willemin. 7. Lithium Micro-Batteries, Raphael Salot. 8. Ultra-Low-Power Sensors, Pascal Nouet, Norbert Dumas, Laurent Latorre and?Frederick Mailly. 9. Ultra-Low-Power Signal Processing in Autonomous Systems, Christian Piguet. 10. Ultra-Low-Power Radio Frequency Communications and Protocols, Eric Mercier. 11. Energy Management in an Autonomous Microsystem, Jean-Frederic Christmann, Edith Beigne, Cyril Condemine, Jerome Willemin and Christian Piguet. 12. Optimizing Energy Efficiency of Sensor Networks, Olivier Sentieys and Olivier Berder.