Noisecom > White Papers

Characterization of Gaussian Noise Sources

Key applications in high-rate serial data technologies assume that Random Jitter (RJ) follows a Gaussian distribution and require that receivers be tested under the stress of a calibrated level of Gaussian RJ. However, the most commonly available noise sources have never been rigorously characterized until now. We perform a complete statistical analysis of industry-standard noise sources and report on the extent to which the Gaussian assumption is valid.

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Jitter – An Introduction

Serial data systems play an increasingly important role whenever volumes of data are processed or transported. Jitter is a key concern for engineers developing high speed components such as transmitters, receivers and data channels. Serial high speed communication systems need to operate within very tight margins; with data provided extremely fast and with an exceptionally low probability of errors. The challenge for developers is to create high speed systems at very low cost so products can be competitively marketed.

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Jitter – An Introduction (Spanish)

Serial data systems play an increasingly important role whenever volumes of data are processed or transported. Jitter is a key concern for engineers developing high speed components such as transmitters, receivers and data channels. Serial high speed communication systems need to operate within very tight margins; with data provided extremely fast and with an exceptionally low probability of errors. The challenge for developers is to create high speed systems at very low cost so products can be competitively marketed.

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Noise — Friend and Foe of Engineers

Foe — agreed, but friend? How can noise be appreciated by engineers who labor at the edge of technology when trying to move signals and information as fast as possible from A to B? Isn’t noise something we all want to avoid and eliminate? This column addresses engineers who are interested in exploring the concept of utilizing noise for test and measurement purposes.

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