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White Paper: Characterization Of Gaussian Noise Sources
By Ransom Stephens, Ph.D., Ransom's Notes, and Robert Muro, NoiseCom, Inc.
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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