Load a labeled signal set containing recordings of whale songs.
load whales
lss
lss =
labeledSignalSet with properties:
Source: {2×1 cell}
NumMembers: 2
TimeInformation: "sampleRate"
SampleRate: 4000
Labels: [2×3 table]
Description: "Characterize wave song regions"
Use labelDefinitionsHierarchy to see a list of labels and sublabels.
Use setLabelValue to add data to the set.
Get a table with all the signals in lss.
t = getLabeledSignal(lss)
t=2×4 table
Signal WhaleType MoanRegions TrillRegions
________________ _________ ___________ ____________
Member{1} {79572×1 double} blue {3×2 table} {1×3 table}
Member{2} {76579×1 double} blue {3×2 table} {1×3 table}
Identify the sublabels of the trill regions.
d = getLabelNames(lss,"TrillRegions")
d =
"TrillPeaks"
Get the labeled signal corresponding to the second member of the set. Determine the sample rate.
idx = 2;
[lbs,info] = getLabeledSignal(lss,idx)
lbs=1×4 table
Signal WhaleType MoanRegions TrillRegions
________________ _________ ___________ ____________
Member{2} {76579×1 double} blue {3×2 table} {1×3 table}
info = struct with fields:
TimeInformation: "sampleRate"
SampleRate: 4000
fs = info.SampleRate;
Identify the moan and trill regions of interest. Use a signalMask (Signal Processing Toolbox) object to plot the signal and highlight the moans and trills.
Identify three peaks of the trill region and plot them.
peaks = getLabelValues(lss,idx,["TrillRegions""TrillPeaks"]);
hold on
pk = plot(peaks.Location,cell2mat(peaks.Value),"v");
hold off
legend(pk,"trill peaks")
Example: labeledSignalSet({randn(100,1)
randn(10,1)},signalLabelDefinition("female")) specifies a two-member set of random
signals containing the attribute "female".
Member row number, specified as a positive integer. midx
specifies the member row number as it appears in the Labels table of a labeled signal
set.
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