An adaptive forward error correction technique based on noise bursts and the rate at which they occur is disclosed. The forward error correction parameters are determined using statistics describing the noise burst duration and period. The occurrence, duration and period of the noise burst are determined by the error vector magnitude calculated during the decoding process.

Apparatus and method for providing adaptive forward error correction utilizing the error vector magnitude metric

According to one embodiment of the present invention, a system (100) for measuring overall jitter is disclosed that includes a data converter (102) that measures a signal to generate a first measurement set (212) and a second measurement set (214), which are used to compute overall jitter. According to one embodiment of the present invention, a method for measuring overall jitter is disclosed. The data converter (102) generates the first measurement set (212) and the second measurement set (214) by measuring the signal. The overall jitter is computed using the measurement sets (212 and 214). According to one embodiment of the present invention, a system (400) for measuring internal jitter is disclosed that includes a splitter (404) that splits a signal into an input signal (406) and a clock signal (410). The data converter (102) measures the input signal (406) to generate a first data set and a second data set, which are used to compute the internal jitter of the data converter (102). According to one embodiment of the present invention, a method for measuring internal jitter is disclosed. A signal is split into an input signal (406) and a clock signal (410). The data converter (102) measures the input signal to generate the first data set (508) and the second data set (512). The internal jitter is computed using the first data set (508) and the second data set (512). The external jitter is computed from the overall and internal jitter. The signal-to-noise ratio of the data converter (102) is computed from the external jitter.

Method and system for measuring jitter

Provided is an availability prediction method for a high availability. The method includes calculating a basic survival probability that the other node survives until a failure on one node of two nodes constituting a cluster is fixed, and determining an optimal number of nodes meeting a preset reference availability probability by calculating an availability probability for a predetermined range of the number of nodes on the basis of the basic survival probability. The method determines the number of nodes in the high availability cluster so as to match a reference availability probability, and is able to accomplish an optimal configuration of a cluster by calculating the availability probabilities for combinations between active node and passive nodes and between head nodes and switches.

Availability prediction method for high availability cluster

In this paper, an intensive statistical analysis on the UK transmission power transformer historic reliability data is presented. It is shown that deriving the reliability of transformer at a certain age by simply calculating the hazard rate is inadequate, as the hazard rate in each age has a statistical range in which the confidence band width is related to the amount of the reliability data involved in that age. Since the post-mortem investigations on the failed units have verified that all failures up till now follow random failure mechanism, a general hazard rate of 0.27% with standard deviation of 0.03% has been derived for the UK transmission power transformers based on all the reliability data available. In term of data sufficiency, as supported by the hazard rate's confidence band analysis, only if the number of transformer at one age is more than 200 should the calculated hazard rate be reliable.

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Getting the most out of historic reliability data

In order to meet the fast-growing demand, airlines have applied much more compact air-fleet operation schedules which directly lead to airport congestion. One result is the flight delay, which appears more frequently and seriously; the flight delay can al

Lavon B. Page

Papers

Probability for Engineering With Applications to Reliability