To follow up last week’s discussion on real-time versus equivalent-time oscilloscopes, I asked my colleague Pavel Zivny to send along his thoughts. Pavel, who’s a domain expert for high-speed ...

Digital instruments sample analog waveforms and operate on the samples with the assurance that the data can be restored to continuous analog form. The sampling theorem states that a signal digitized ...

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 ...

The Shannon–Hartley theorem provides a tool to quantify the information content of analog data. The theorem prescribes that unpredictability — the element of surprise — is the property that defines ...

Sigma-delta converters are in wide use among applications that demand high precision and accuracy. A variant of the sigma-delta architecture, called the continuous-time sigma delta (CT-S?), has found ...

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 ...

Wavelets provide new capabilities for analyzing real-time signals. This introductory article provides an overview and presents the basic mechanisms involved in wavelets. In many signal processing ...

This article will explain continuous-time sigma-delta (CTSD) ADC technology in a less traditional approach, enabling signal chain designers toenvision a new class of easy to use precision ADC ...

Shown is a simplified continuous-time sigma-delta ADC model, comprising a sigma-delta modulator and a decimation filter. The DT-S? input structure typically implements switched capacitors, and CT-S?