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Deep Learning for Signal Processing with MATLAB

[White Paper Presentation] Explanation of Signal Processing Using Deep Learning

This white paper explains the basics of deep learning, as well as three examples of signal processing (voice command recognition, remaining useful life prediction, and signal noise reduction). Through these examples, it describes how deep learning using MATLAB can help perform signal processing tasks more quickly and achieve more accurate results. MATLAB is software that combines a desktop environment suitable for iterative analysis and design processes with a programming language that directly represents matrix and array mathematics. [Contents (excerpt)] ■ Introduction ■ Basics of Deep Learning ■ Deep Learning Networks ■ Choosing a Network ■ Considerations Regarding Signal Data *For more details, please refer to the PDF document or feel free to contact us.