Signal Processing for Deep Learning and Machine Learning


Using real-data we will explore the following topics:

  • Signal Pre- processing techniques
  • Easily manage signal datasets using datastores
  • Automatic feature extraction techniques for classifying signals
  • Leverage high-performance computing resources, such as multicore computers, GPUs, computer to scale up the performance

About the Presenter

Kirthi K. Devleker is a Product Manager at MathWorks focusing on Signal Processing and Wavelets Toolbox. Kirthi specializes in helping MATLAB users see the value of advanced Signal Processing and Machine Learning techniques applied to sensor data across multiple industry verticals such as medical, aero-defense and other industries. He has been with MathWorks for 8 years, and has a Masters in Electrical Engineering from San Jose State University.

Recorded: 14 Feb 2019