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Acquire, measure, and analyze signals from many sources. Design streaming algorithms for audio, smart sensor, instrumentation, and IoT devices.
Signal Analysis Made Easy. Signal Analysis for Everyone. Preprocess and filter signals prior to analysis. Explore and extract features for data analytics and machine learning applications.
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Analyze trends and discover patterns in signals. Namespaces Book Discussion. Views Read Edit View history. Policies and guidelines Contact us. In other languages Deutsch Edit links. In other projects Wikimedia Commons Wikipedia. This page was last edited on 3 August , at It seems that you're in Germany.
We have a dedicated site for Germany. This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses.
Silvia Maria Alessio (Author of Digital Signal Processing and Spectral Analysis for Scientists)
The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient.