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Books : Study Books : Professional : Engineering : Electronics & Telecommunications Engineering : Applied Optics
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Relates the core principles of quantum mechanics to practical applications in engineering, physics, and nanotechnology.
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Laser Fundamentals provides an introduction to the physical and engineering principles of laser operation and design.
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Explains the technology behind the major digital audio consumer products which include the Compact Disc, MiniDisc, Super Audio CD, DVD-Audio, MP3 and Digital Audio Tape. This book presents an overview of the history of audio technology and covers the principles and technologies which underpin the various formats available.
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With over 600 various illustrations, this book presents discussions on deconvolution, extended dynamic range images, and multichannel imaging with material on principal components analysis. It includes a chapter on human vision and discusses the technologies for image capture and printing. It features a CD-ROM that includes more than 200 images.
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If you need a book that relates the core principles of quantum mechanics to modern applications in engineering, physics, and nanotechnology, this is it. Students will appreciate the book's applied emphasis, which illustrates theoretical concepts with examples of nanostructured materials, optics, and semiconductor devices. The many worked examples and more than 160 homework problems help students to problem solve and to practice applications of theory. Without assuming a prior knowledge of high-level physics or classical mechanics, the text introduces Schrodinger's equation, operators, and approximation methods. Systems, including the hydrogen atom and crystalline materials, are analyzed in detail. More advanced subjects, such as density matrices, quantum optics, and quantum information, are also covered. Practical applications and algorithms for the computational analysis of simple structures make this an ideal introduction to quantum mechanics for students of engineering, physics, nanotechnology, and other disciplines. Additional resources available from www.cambridge.org/9780521897839.
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Concentrating more on general principles and models and less on details of concrete applications, this title serves as an introduction to the mathematical aspects of image analysis rather than as a survey as no prior knowledge of mathematics or statistics is required.
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Covers image segmentation, object recognition, and morphology. This book includes industrial practices for image compression, image de-noising methods based on partial differential equations, and fresh image compression methods such as fractal image compression and wavelet compression.
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"This book is concerned with a probabilistic approach for image analysis, mostly from the Bayesian point of view, and the important Markov chain Monte Carlo methods commonly used....This book will be useful, especially to researchers with a strong background in probability and an interest in image analysis. The author has presented the theory with rigor…he doesn’t neglect applications, providing numerous examples of applications to illustrate the theory." -- MATHEMATICAL REVIEWS