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Adaptive Processing The Least Mean Squares Approach with Applications in Transmission Odile Macchi Laboratoire des Signaux et Systèmes France Providing an in-depth study of adaptive systems used in digital signal processing, this book presents both theoretical concepts and applications. The author provides a rigorous investigation of LMS adaptive processing and exemplifies the concepts with channel data equalisation, echo cancellation and prediction for bit rate reduction. The text is divided into four key areas: Adaptive transversal filters, covering their transient aspects (speed of convergence) and their steady-state (fluctuations and misadjustment). Implementation aspects (binary word l...
This publication deals with the application of advanced digital signal processing techniques and neural networks to various telecommunication problems. The editor presents the latest research results in areas such as arrays, mobile channels, acoustic echo cancellation, speech coding and adaptive filtering in varying environments.
This book provides a solid basis to understand two centuries of bodily measurement practices and their scientific and political scope throughout the Western world. By exploring various cases, it proposes a new approach of measurement from an epistemological point of view and demonstrates the central role of the measurement of the body for political purposes. By studying categorizations of race, age and quality of life between the 19th and 20th century, the first part of the book highlights how human body measurements extend from the flesh to subjective experience. The second part shows how genomic correction and life support technologies reshape the frontiers between things, humans and social subjects. The final part reveals how contemporary measurements of age, race and disease gave rise to new hierarchies between human beings and social groups. The book concludes by considering different styles of measuring the body and their ontological consequences.
The most comprehensive book to date on the history of silicosis and the strategies used to combat it. Despite the common perception that “black lung” has been relegated to the dustbin of history, silicosis remains a crucial public health problem that threatens millions of people around the world. This painful and incurable chronic disease, still present in old industrial regions, is now expanding rapidly in emerging economies around the globe. Most industrial sectors—including the metallurgical, glassworking, foundry, stonecutting, building, and tunneling industries—expose their workers to lethal crystalline silica dust. Dental prosthodontists are also at risk, as are sandblasters, p...
Examines in some depth two important classes of point processes, determinantal processes and 'Gaussian zeros', i.e., zeros of random analytic functions with Gaussian coefficients. This title presents a primer on modern techniques on the interface of probability and analysis.
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Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervised signal processing. Always maintaining the focus on a signal processing-oriented approach, this book describes how the subject has evolved and assumed a wider scope that covers several topics, from well-established blind equalization and source separation methods to novel approaches based on machine learning and bio-inspired algorithms. From the foundations of statistical and adaptive signal processing, the authors explore and elaborate on emerging tools, such as machine learning-based solutions and bio-inspired methods. With a fre...