O'Reilly logo

Digital Signal Processing: Instant Access by James D. Broesch

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 6. Digital Filters

Definitions

In the previous chapters we developed a number of tools for working with signals. In order to keep the discussion as tight as possible, these tools were generally presented in a context where they could be understood independently. Convolution, for example, was presented as a generalization of the moving average filter. In a similar manner, the DFT was shown to be a tool that mapped a function of time (the signal) to a function of frequency (the signal's spectrum). We also pointed out, though we did not demonstrate it, that the DFT was a reversible function: given a signal's spectrum, we could use the DFT to get the signal.

It is now time to start tying these tools together to develop a more sophisticated ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required