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Data-dependent jitter (DDJ) is a specific class of timing jitter. In particular, it is a form of deterministic jitter which is correlated with the sequence of bits in the data stream. It is also a form of ISI .
The FS5000 Jitterlyzer performs physical layer serial bus jitter evaluation. It can inject controlled jitter and measure the characteristics of incoming jitter. When teamed with a logic analyzer or protocol analyzer, it can correlate these measurements with protocol analysis. Physical-layer tests can be performed while the system under test is ...
Jitter in serial bus architectures is measured by means of eye patterns. There are standards for jitter measurement in serial bus architectures. The standards cover jitter tolerance, jitter transfer function and jitter generation, with the required values for these attributes varying among different applications. Where applicable, compliant ...
Learning styles refer to a range of theories that aim to account for differences in individuals' learning. [1] Although there is ample evidence that individuals express personal preferences on how they prefer to receive information, [2]: 108 few studies have found validity in using learning styles in education.
Deterministic Networking (DetNet) is an effort by the IETF DetNet Working Group to study implementation of deterministic data paths for real-time applications with extremely low data loss rates, packet delay variation (jitter), and bounded latency, such as audio and video streaming, industrial automation, and vehicle control.
A simple way to have the eye pattern display jitter in the signal is to estimate the symbol rate of the signal (perhaps by counting the average number of zero crossings in a known window of time) and acquiring many UIs in a single oscilloscope capture. The first zero crossing in the capture is located and declared to be the start of the first ...
Because quantization is a many-to-few mapping, it is an inherently non-linear and irreversible process (i.e., because the same output value is shared by multiple input values, it is impossible, in general, to recover the exact input value when given only the output value).
Learning by simulations – a simulation showing the improvement of the SNR by time averaging; Dynamic Performance Testing of Digital Audio D/A Converters; Fundamental theorem of analog circuits: a minimum level of power must be dissipated to maintain a level of SNR