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Develops algorithms for processing multi-dimensional digital signals - particularly, algorithms for multi-dimensional Fourier transforms in a form that is convenient for writing efficient code on a variety of vector and parallel computers.
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The Kalman Filter gives an optimal estimate of the state of the given process based on output measurements. The aim of this text is to cover the theory of robust state estimation for the case in which the process model contains significant uncertainties and non-linearities.
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This text is a comprehensive presentation of the fundamental problems for the generalized approach to signal detection theory. The guide also covers new approaches and methods as well as experimental results with physical systems.
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This book provides a comprehensive overview of wavelets starting from the fundamentals of signal analysis using wavelets, to cutting edge technologies like optimum wavelet design for specific applications.
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The new edition of this popular book introduces the study of attention, focusing on attention modeling, and addressing such themes as saliency models, signal detection, and different types of signals, including real-life applications.
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The topics include perception and learning, medical robotics and biomechanics, industrial robots and education, kinematics and dynamics, motion planning and control, service robotics and applications, mobile robots and innovative robot design, etc.
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This book introduces remote sensing for environmental monitoring, emphasizing its importance and varied applications in environmental assessment.
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background: white;">This book highlights the exciting developments in optical fiber sensors and how artificial intelligence (AI) is boosting their... Læs mere