
FREE Live Webinar
Signal Processing for Machine Learning with MATLAB
17th June 2019 | 10:00am to 11:00am
Signal Processing is the science that deals with extraction of information from signals of various kinds. Engineers and scientists need to process, analyse, and extract information from time-domain data as part of their day-to-day responsibilities. Traditionally, signal characterization has been performed with mathematically-driven transforms, while categorization and classification are achieved using statistical tools.
Meanwhile, machine learning aims to design algorithms that learn about the state of the world directly from data. Hence, an increasing popular trend has been to develop and apply machine learning techniques to both aspects of signal processing, often blurring the distinction between the two. This webinar will introduce you to fundamental signal processing concepts and tools needed to apply machine learning to discrete signals.
You will learn about commonly used techniques for capturing, processing, manipulating, learning and classifying signals.
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Signal Pre- processing techniques
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Signal manipulation and visualization
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Design and application of digital filters
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Automatic feature extraction techniques for classifying signals
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Apply machine learning for signal classification
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