Signal Transforms in Dynamic Measurements
(Sprache: Englisch)
This book is devoted to the analysis of measurement signals which requires specific mathematical operations like Convolution, Deconvolution, Laplace, Fourier, Hilbert, Wavelet or Z transform which are all presented in the present book. The different...
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Klappentext zu „Signal Transforms in Dynamic Measurements “
This book is devoted to the analysis of measurement signals which requires specific mathematical operations like Convolution, Deconvolution, Laplace, Fourier, Hilbert, Wavelet or Z transform which are all presented in the present book. The different problems refer to the modulation of signals, filtration of disturbance as well as to the orthogonal signals and their use in digital form for the measurement of current, voltage, power and frequency are also widely discussed. All the topics covered in this book are presented in detail and illustrated by means of examples in MathCad and LabVIEW.This book provides a useful source for researchers, scientists and engineers who in their daily work are required to deal with problems of measurement and signal processing and can also be helpful to undergraduate students of electrical engineering.
Inhaltsverzeichnis zu „Signal Transforms in Dynamic Measurements “
Classification and Parameters of Signals.- Laplace Transform.- Fourier Transform.- Z Transfporm.- Wavelet Transform.- Hilbert Transform.- Orthogonal Signals.- Modulations.- Convolution and Deconvolution.- Reduction of Signals Disturbance.
Bibliographische Angaben
- Autoren: Edward Layer , Krzysztof Tomczyk
- 2015, 2015, XI, 211 Seiten, 12 farbige Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319132083
- ISBN-13: 9783319132082
- Erscheinungsdatum: 08.01.2015
Sprache:
Englisch
Pressezitat
"A book containing a lot of topics concerning the connection between the dynamic measurements and some of signal transforms widely used in a variety of applications. ... the book represents an interesting contribution to know the recent methods used in Signal Processing for a large area of problems arising in applications. It will be of high interest for scientists working in Electronics, Electricity, Automation and related domains." (Dumitru Stanomir, zbMATH 1334.94002, 2016)
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