Abstract:
Test data are inserted on the data source side into a data stream (DS) transmitted to a data receiver (5) from a data source (1) via at least one transmission section (4). A bit error function (e(n)) is obtained from the test data received. The bit error function (e(n)) is evaluated in a part by part manner to discover its periodicity, the length of the partial section evaluated at the same time being measured in such a way that it contains a plurality of bit errors (BF). The bit error function (e(n)) or (err(n)) is subjected to auto-correlation. The maxima (M, Ml, ...Mi) of the auto-correlation functions (AKF(m)) thus obtained are used to determine the nature of the interference (10, 11) with reference to its stochastic or deterministic nature.
Abstract:
In order to determine spectral and/or periodic portions in a sequence of data (d(n)) containing binary values (0; 1) at a number (N) of position numbers (n), the data sequence (d(n)) is evaluated by position number at discrete evaluation points (m) with a complex analysis function (f(n, m)). To this end, to form a complex binary analysis function (BA(n, m)) on the complex analysis function (f(n, m)), a comparator function (k) is used in accordance with the prescription: k (f(n, m)) = + 1 for f(n, m) > (S); k (f(n, m)) = - 1 pour f(n, m)
Abstract:
Test data (5) are inserted on the data source side into a flow of data (4) transmitted to a data receiver (3) from a data source (1) via at least one transmission path (2). A bit error function e(n) is obtained from the test data received (6) which is multiplied by an analysis function for partwise evaluation and then time-integrated. The result of evaluation is a measure of the number of bit errors. The bit error function (e(n)) is preferably auto-correlated by being used itself as an analysis function. The value of the main maximum M of the auto-correlation function AKF(m) is a measure of the number of bit errors.
Abstract:
The invention relates to a process for finding the transmission properties (H(jf)) of an electric line (2) in an ISDN system in which a test signal (m(t)) is applied to one end of the line (2) and at the other end the reception signal (g(t)) produced by the test signal (m(t)) is evaluated. In order to be able to conduct such a process with a test signal with a crest factor of one with relatively little cost, the test signal used is a binary, bipolar random numerical sequence signal (m(t)) with the crest factor one and the reception signal (g(t)) is scanned at time intervals corresponding to the period of the test signal (m(t)) and subjected to a Fourier transformation to provide a spectrum signal (G(jf)); the latter is complexly multiplied by a reference spectrum Mi(jf) to provide an output signal (H(jf)) which provides a measure for the transmission properties of the line (31).
Abstract:
A first data flow (DS1) for a first data transmission system (DÜ1) with a first data rate contains ATM data cells (2, 3, 4) and structure data (10, 11, 12) allocated to a section (13) consisting of several ATM cells and divided and spaced out according to predetermined instructions. The data flow (DS1) is converted, while retaining its ATM data cell format, into a second data flow (DS2) containing only ATM data cells for a second data transmission system (DÜ2) with a second, higher data rate. Here, the structure data (10, 11, 12) are separated from the first data flow and entered into a marked structure cell (64) with an ATM data cell format for the section concerned. The structure cell (64) is inserted into a second data flow (DS2) so as partly to fill an unoccupied section resulting from the differing data rates.
Abstract:
A flow of data (DS) from a data source (1) passes to a data receiver (9) via an intermediate path (5) and a transmission path (7). Before entering the transmission path (7) the flow of data (DS) is scrambled in a predetermined manner and unscrambled in the same manner on leaving the transmission path (7). A bit error function e(n) is obtained from test data (TZ) inserted into the flow of data (DS) at the data source and evaluated according to its period length (N). A bit error (BF) occurring before scrambling goes unmultiplied to the data receiver after unscrambling, whereas a bit error (BF) occurring on the transmission path (7) is multiplied by a period length (Nv) specific to the descrambling. A comparison of this period length (Nv) with the period length (N) of the bit error function (e(n)) makes it possible to locate the origin.
Abstract:
The invention relates to a process for obtaining a signal from a measuring device on the transmission side indicating a synchronisation error between a pseudo-random signal sequence from a transmitter and a reference pseudo-random signal sequence from a receiver. In order to detect the synchronisation error as quickly and reliably as possible, successive sections (a, b, c) of the reference pseudo-random signal sequence (g'(n)) are cross-correlated with the received pseudo-random signal sequence (g(n)), obtaining a partial cross-correlation function (KKFa(n), KKFb(n) and KKFc(n)); the partial cross-correlation functions are added to obtain a sum cross-correlation function (KKFs(n)) which is examined for the appearance at the right time of at least three maxima (ma, mb, and mc). If the maxima (ma, mb and mc) do not appear at the right time, a signal (synch) indicating a synchronisation error is generated.
Abstract:
A section (AUS) limited in time of a signal (DS) is separately sampled in order to give sample values (AW). The spectrum of signal (DS) is determined from the sample values (AW) at least in the tolerance range ( DELTA f) of the expected clock frequency (fb) by means of a digital process, preferably a fast Fourier transformation. The part (SRT) of the spectrum which corresponds to the clock frequency (fb) is then determined.
Abstract:
To the transmission path (4) is applied a test signal (M') formed from a sequence (m) with spectrum components (S1 ... S10) equidistantly distributed in the frequency range by linkage to an additional function (ZSF). The additional function (ZSF) is selected in such a way that the test signal (M') contains additional spectrum components (ZS1 ... ZS21) besides the spectrum components (S1 ... S10) of the sequence (m). An output signal (M'') received on the output side of the path is evaluated at assessement frequencies (AW1 ... AW10) at which the test signal (M') is free of spectrm components and in which the test signal (M') has additional spectrum components (SA1 ... SA10) after auto-convolution. Additional spectrum components (SA1 ... SA10) occurring at the evaluation frequencies (AW1 ... AW10) directly reveal non-linearity in the transmission path.