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% ...

A study of signals and linear systems and their applications in modern engineering. Representation of continuous and discrete time signals and systems in the time and frequency domains. Stability, ...

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 ...

Comprehensive introduction to analysis of continuous and discrete-time signals and systems. Linear time-invariant systems, convolution; Fourier series representations of periodic signals; Continuous ...

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 ...

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 ...

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 ...

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 ...

Multimedia applications such as Digital TVs (DTVs), Over the Top (OTT) devices, and Set-Top Boxes (STBs) rely on digital and analog interfaces to transmit & receive audio and video content. The ...