jitterHistogram
(Removed) Jitter histogram
Syntax
Description
Examples
Jitter and Noise Histogram Methods
Display the eye diagram for a waveform having dual-dirac and random jitter. Plot the jitter and noise histograms.
Specify the sample rate, the samples per symbol, and the number of traces parameters.
fs = 1000; sps = 200; numTraces = 1000;
Create an eye diagram object.
ed = comm.EyeDiagram('SampleRate',fs,'SamplesPerSymbol',sps, ... 'SampleOffset',sps/2, ... 'DisplayMode','2D color histogram','ColorScale','Logarithmic', ... 'EnableMeasurements',true,'YLimits',[-1.2 1.2]);
Generate a waveform having dual-dirac and random jitter. Specify 3 ms rise and fall times.
src = commsrc.pattern('SamplesPerSymbol',sps, ... 'RiseTime',3e-3,'FallTime', 3e-3); src.Jitter = commsrc.combinedjitter('RandomJitter','on', ... 'DiracJitter','on','DiracDelta',[-10e-04 10e-04],'RandomStd',5e-4);
Generate two symbols for each trace.
x = src.generate(numTraces*2);
Pass the signal through an AWGN channel with a fixed seed for repeatable results.
randStream = RandStream('mt19937ar','Seed',5489); y = awgn(x,30,'measured',randStream); ed(y)
Calculate the jitter histogram count for each bin by using the
jitterHistogram
method. Plot the histogram.
jbins = jitterHistogram(ed); plot(jbins)
Calculate the noise histogram count for each bin by using the
noiseHistogram
method. Plot the histogram.
nbins = noiseHistogram(ed); plot(nbins)
Input Arguments
ed
— Eye Diagram System object
System object
Eye Diagram System object, where the count for decision boundary crossings is set.
Output Arguments
jh
— Jitter histogram
nonnegative integer
Jitter histogram, which represent the counts for decision boundary crossings, specified as a nonnegative integer.
Data Types: double
Version History
Introduced in R2016bR2022a: comm.EyeDiagram
has been removed
jitterHistogram has been removed. To display the eye diagram of a signal, use the eyediagram
function instead.
See Also
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