Abstract
Modern telecommunication networks work on the transmission method of common data streams in which data bursts consisting of packets that further consist of particular bits are multiplexed from various traffic sources. The larger amount of data is transmitted through a transmission medium (optical fibre), the more frequently bursts occur, and the lower amount of data, the more rarely they follow. If it is required to monitor how large amount of data is being transmitted in a network branch in order to find out, to which measure this branch is occupied, it is not necessary to take each information unit (each packet or even each particular bit). It will do if information whether a data burst occurs in the transmission or does it not occur is taken in certain time intervals – with a certain sampling frequency. The paper deals with these sampling intervals.
Highlights
A digital signal carrying information is created by the train of periodically repeating pulses of a certain shape the amplitude of which in a k-th repeating period To is a random variable Ak acquiring discrete values akj with probabilities pj, j = 0, ±1, ±2,..., ±M/2 where M denotes the count of discrete states of the non-zero amplitudes of a digital signal
Lets consider the simple convolution coding, the MLT 3 code and the AMI-NRZ code all with the correlation coupling between pulses as an example of the calculation of the power spectrum of a digital signal
The encoding of a digital signal by the MLT 3 code is used in Ethernet on metallic shielded or unshielded twisted pairs at 100 Mbps bit rates
Summary
A digital signal carrying information is created by the train of periodically repeating pulses of a certain shape the amplitude of which in a k-th repeating period To is a random variable Ak acquiring discrete values akj with probabilities pj, j = 0, ±1, ±2,..., ±M/2 where M denotes the count of discrete states of the non-zero amplitudes of a digital signal. It can be described in the time domain as:. Lets consider the simple convolution coding, the MLT 3 code and the AMI-NRZ code all with the correlation coupling between pulses as an example of the calculation of the power spectrum of a digital signal
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