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Statistical analysis of inter-symbol-interference and crosstalk for coding buses

Authors: null Yu Chang; null Dan Oh; R. Schmitt;

Statistical analysis of inter-symbol-interference and crosstalk for coding buses

Abstract

Statistical analysis is being used widely to evaluate the high-speed link performance for accurate system-level optimization including various device jitter components. One of the key assumptions used in the current methodologies is that data patterns across the bus are assumed to be independent. However, this assumption is not valid anymore when the data bus is coded, invalidating existing statistical approaches. In this paper, the current statistical approach is extended to handle coded cases. Excellent correlation is achieved between our statistical method and transient simulation data. Various examples of the link level performance evaluation are also presented in this paper.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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