This series is excerpted from “RF and Digital Signal Processing for Software-Defined Radio.” Order this book today at www.elsevierdirect.com or by calling 1-800-545-2522 and receive an additional 20% ...

If we want to take samples of some analog waveform, as in doing analog to digital conversions at some particular conversion rate, there is an absolute lower limit to the rate of doing conversions ...

Primer on Nyquist and aliasing applied to the design of input filters for ADCs. Sampling a signal causes the original signal spectrum (blue) to create sum (purple) and difference (red) frequencies ...

A look at the Nyquist sampling theorem. How to deal with aliasing by attenuating signals using low-pass filters (i.e., an antialiasing filter, or AAF). AAF requirements for different ADCs. A deep dive ...

The distinction between analog and digital signals is very simple, but it can still be a challenge to wrap one's mind around the concepts that define the two systems. Just when you think you've got it ...

Sub-Nyquist sampling and Finite Rate of Innovation (FRI) signal processing represent a paradigm shift in the acquisition and reconstruction of signals. Traditional sampling theories require adherence ...

Suppose you take a few measurements of a time-varying signal. Let’s say for concreteness that you have a microcontroller that reads some voltage 100 times per second. Collecting a bunch of data points ...

Design linear discrete-time systems and filters and analyze their behavior. Represent continuous-time signals and linear systems in discrete time, so that such signals can be recovered in continuous ...