Looking at Peaks and Troughs: Teaching DSP in the Classroom with MATLAB and Simulink


Are you teaching interactively? Are you looking for ideas on distance learning?

To help transition to an online mode of instruction, MathWorks is hosting a webinar on teaching Signal Processing with MATLAB and Simulink. Join this webinar to learn how you can teach signal processing courses using MATLAB.


  • Making understanding of the concepts like convolution more intuitive.
  • Increase interactivity in introductory signals course, using real-life applications – analyzing audio signals, dual-tone multi-frequency signaling
  • Use MATLAB Grader and pre-set problems for ease of assessments and evaluation of MATLAB assignments

About the Presenters

Amith Kamath is an Education Technical Evangelist at MathWorks and works with the academic institutions in India on the adoption of MathWorks’ workflows in curriculum and research.

Amith has been with the MathWorks for seven years and has previously worked with the Engineering Development Group and Software Development in the Image Processing and Computer Vision areas focusing on workflows for image registration and pixel labeling. His areas of interests include Computer Vision and Software Engineering. Amith has a Bachelor’s degree in Electrical Engineering from NITK Surathkal and a Master’s degree in Electrical Engineering from the University of Minnesota.  

Praful Pai works with the Education Team at MathWorks India, where his focus is on collaborating with faculty, researchers, and students to make STEM education engaging and accelerating research in science and engineering.

He completed his undergraduate studies in Biomedical Engineering from Manipal Institute of Technology, and his MS and PhD from the Department of Electronics & Electrical Communication Engineering at Indian Institute of Technology, Kharagpur. Prior to joining MathWorks, he worked as a Research Scientist with the National Brain Research Centre, Gurgaon on developing an MRI brain template for the Indian population. He is passionate about learning, teaching, and research in multi-disciplinary domains involving instrumentation, signal/image processing, statistics, and machine learning.

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