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"Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors"--

621.395.38 --- Signalling and pulsing --- Signal processing --- Digital techniques. --- 621.395.38 Signalling and pulsing --- Digital signal processing --- Digital communications --- Digital electronics --- Digital techniques --- Traitement du signal --- Techniques numériques.

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Signal processing --- Digital techniques --- Digital techniques. --- digitale signaalverwerking --- Computer. Automation --- Electronics --- DSP (digitale signaalprocessoren) --- algoritmen --- DSP --- 621.391 --- Digital signal processing --- Digital communications --- Digital electronics --- 621.391 General questions of electrical communication engineering. Cybernetics. Information theory. Signal theory --- General questions of electrical communication engineering. Cybernetics. Information theory. Signal theory --- Signal processing - Digital techniques

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Electronics --- Computer. Automation --- digitale signaalverwerking --- beeldverwerking --- Fourieranalyse --- DSP (digitale signaalprocessoren)

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Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.

Signal processing --- Digital techniques.

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A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. Readers will learn how to apply the main algorithms to practical problems, how to choose the best algorithm for a particular application, and how to process and interpret hyperspectral imaging data. A wealth of additional materials accompany the book online, including example projects and data for students, and problem solutions and viewgraphs for instructors. This is an essential text for senior undergraduate and graduate students looking to learn the fundamentals of imaging spectroscopy, and an invaluable reference for scientists and engineers working in the field.

Multispectral imaging. --- Remote-sensing images. --- Imaging systems. --- Image processing --- Digital techniques.