Introduction to Digital Signal Processing

Learn or refresh your knowledge of how to apply digital signal processing principles to the measurements you make.

Fourier, leakage, antialiasing, windows, spectral lines? You’ve heard of these terms from the digital signal processing world, but many have difficulties in applying them to their measurements. Join us for a live webinar as we go over the relationships among the fast Fourier transform (FFT), antialiasing, and leakage to see how these phenomena affect the measurements you’re making today.

This webinar will present an overview of the concepts of digital signal processing, including key sampling relationships such as Rayleigh and Nyquist criteria. Additional topics will include how leakage is created and the steps we can take to mitigate its effect with windows—as well as the specific corrections needed to address the issues that windows introduce.

In this session, we will also analyze various signals as a practical demonstration of these concepts with measured data. Demonstrations will illustrate the tradeoffs involved when you are dealing with time and frequency resolution

Topics of Discussion:

• What is digital signal processing?
• The Fourier transform and the FFT
• Signal analysis examples
• Windowing and leakage
• Live Q&A