Webinar

Top 10 Productivity Tools in MATLAB

Date: September 18, 2014
Session 1: 9:00 a.m. U.S. EDT / 2:00 p.m. GMT+1 / 3:00 p.m. CEST
Session 2: 2:00 p.m. U.S EDT / 7:00 p.m. GMT+1 / 8:00 p.m. CEST

Overview

In this webinar, we present the unsanctioned but highly acclaimed list of “Top 10 Productivity Tools in MATLAB” – ways to increase your productivity and effectiveness as you use MATLAB to:

  • Explore, analyze, and visualize data
  • Develop, test, and maintain MATLAB algorithms and applications
  • Consolidate and share results with colleagues

Through product demonstrations, we share tips and best practices for:

  • Importing data from a variety of file formats
  • Creating and customizing plots
  • Analyzing, profiling, and debugging MATLAB code
  • Publishing custom reports
  • Discovering new MATLAB features

MATLAB users with any level of experience will benefit from this session. Although advanced users may already be familiar with much of this content, they may learn about newer capabilities introduced in recent releases of MATLAB.

Please allow approximately 60 minutes to attend the presentation and Q&A session.

About the Presenter

Rick Rosson is a Senior Applications Engineer specializing in signal processing and communications systems. He supports a wide variety of MathWorks’ products, including MATLAB, Simulink, Signal Processing Toolbox, DSP System Toolbox, and MATLAB Coder, in industries such as communications, electronics, semiconductors, aerospace, and automotive. His current professional interests include digital signal processing, digital communications, discrete event simulation, and embedded C code generation. Prior to joining MathWorks, Rick worked for twelve years in manufacturing management and process improvement, primarily in the automotive and electronics industries. Rick holds a Master of Science in Electrical Engineering from Boston University and a Master of Science in Management from the MIT Sloan School of Management.

Product Focus:

  • MATLAB®

Top 10 Productivity Tools in MATLAB

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