Download An Engineer's Guide to Automated Testing of High-Speed by Jose Moreira PDF

By Jose Moreira

Delivering an entire creation to the state of the art in high-speed electronic checking out with automatic attempt gear (ATE), this sensible source is the 1st publication to concentration solely in this more and more vital subject. that includes transparent examples, this one-stop reference covers all severe facets of the topic, from high-speed electronic fundamentals, ATE instrumentation for electronic purposes, and attempt and measurements, to creation trying out, help instrumentation and textual content fixture layout.

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Additional info for An Engineer's Guide to Automated Testing of High-Speed Interfaces

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5) where dV /dt is the slew rate of the digital signal. , the jitter histogram) but it is also possible to analyze jitter in the frequency domain. This approach can provide significant insights on the causes of the measured jitter. How to compute the jitter spectrum is directly related to the methodology used to measure the jitter. , the jitter frequency spectrum). This can be easily done by performing the discrete Fourier transform (DFT) on the time domain jitter signal. The challenge is how to obtain the time domain waveform of the jitter embedded on the data signal waveform.

The distribution of a central clock with the required timing accuracy especially with regard to clock skew over a whole system easily results in high system design efforts and leads to high system cost. Thus, high-speed interfaces typically use source synchronous timing concepts where each device derives its own timing from a local or central system clock, but the data transmission timing reference is determined by the sending device that transmits this clock information together with the sent data.

Random Jitter Random jitter (RJ) is defined as being unbounded in the sense that there is always a probability (although it can be very small) of the jitter value reaching any value. Random jitter is usually modeled using a Gaussian (also known as normal) probability distribution. One important reason for using a Gaussian distribution to model random jitter is due to the central limit theorem (see Appendix A). The theorem states that the sum of an infinite number of arbitrary probability distributions is a Gaussian distribution.

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