Main Content

PeakFinderConfiguration

Compute and display the largest calculated peak values on the scope display

expand all in page

    Description

    Use the PeakFinderConfiguration object to compute and display peaks in the scope. The scope computes and shows peaks from the portion of the input signal that is currently on display in the scope.

    You can specify the number of peaks you want the scope to display, the minimum height above which you want the scope to detect peaks, the minimum distance between peaks, and label the peaks. You can control the peak finder settings from the scope toolstrip or from the command line. The algorithm defines a peak as a local maximum with lower values present on either side of the peak. It does not consider end points as peaks. For more information on the algorithm, see the findpeaks function.

    To modify the peak finder settings in the scope interface, click the Measurements tab and enable Peak Finder in the Peaks section. An arrow appears on the plot at each maxima and a Peaks panel appears at the bottom of the scope window.

    Spectrum Analyzer Toolstrip

    Snapshot showing peak finder measurements in Spectrum Analyzer toolstrip.

    Time Scope Toolstrip

    Snapshot showing peak finder measurements in Time Scope toolstrip.

    Array Plot Toolstrip

    Snapshot showing peak finder measurements in Array Plot toolstrip.

    Dynamic Filter Visualizer Toolstrip

    Snapshot showing peak finder measurements in Dynamic Filter Visualizer toolstrip.

    Creation

    Syntax

    pkfinder = PeakFinderConfiguration()

    Description

    example

    pkfinder = PeakFinderConfiguration() creates a peak finder configuration object.

    Properties

    expand all

    All properties are tunable.

    Level above which the scope detects peaks, specified as a real scalar.

    Scope Window Use

    Click the Measurements tab on the scope toolstrip. In the Peaks section, set Min Height to a real scalar.

    Data Types: double

    Maximum number of peaks to show, specified as a positive integer less than 100.

    Scope Window Use

    Click the Measurements tab on the scope toolstrip. In the Peaks section, set Num Peaks to a positive integer less than 100.

    Data Types: double

    Minimum number of samples between adjacent peaks, specified as a positive integer.

    Scope Window Use

    Click the Measurements tab on the scope toolstrip. In the Peaks section, set Min Distance to a positive integer.

    Data Types: double

    Minimum difference in height of the peak and its neighboring samples, specified as a nonnegative scalar.

    Scope Window Use

    Click the Measurements tab on the scope toolstrip. In the Peaks section, set Threshold to a nonnegative scalar.

    Data Types: double

    Label found peaks, specified as true or false. The scope displays the labels (P1, P2, …) above the arrows in the plot.

    Scope Window Use

    Click the Measurements tab on the scope toolstrip. In the Peaks section, select Label Peaks.

    Data Types: logical

    Coordinates to display next to the calculated peak value, specified as "x", "y", or "x + y".

    Data Types: char | string

    Enable peak finder measurements, specified as true or false. Set this property to true to enable peak finder measurements.

    Scope Window Use

    Click the Measurements tab on the scope toolstrip. In the Peaks section, select Peak Finder.

    Data Types: logical

    Examples

    collapse all

    Open Live Script

    Create a sine wave and view it in the Time Scope. Enable the peak finder programmatically.

    Initialization

    Create the input sine wave using the sin function. Create a timescope MATLAB® object to display the signal. Set the TimeSpan property to 1 second.

    f = 100;
fs = 1000;
swv = sin(2.*pi.*f.*(0:1/fs:1-1/fs)).';
scope = timescope(SampleRate=fs,...
    TimeSpanSource="property", ...
    TimeSpan=1);

    Peaks

    Enable the peak finder and label the peaks. Set the scope to show three peaks and label them.

    scope.PeakFinder.Enabled = true;
scope.PeakFinder.LabelPeaks = true;
scope(swv)
release(scope)

    Open Live Script

    Compute and display the power spectrum of a noisy sinusoidal input signal using the spectrumAnalyzer MATLAB® object. Measure the peaks, cursor placements, adjacent channel power ratio, and distortion values in the spectrum by enabling these properties:

    • PeakFinder

    • CursorMeasurements

    • ChannelMeasurements

    • DistortionMeasurements

    Initialization

    The input sine wave has two frequencies: 1000 Hz and 5000 Hz. Create two dsp.SineWave System objects to generate these two frequencies. Create a spectrumAnalyzer object to compute and display the power spectrum.

    Fs = 44100;
Sineobject1 = dsp.SineWave(SamplesPerFrame=1024,PhaseOffset=10,...
    SampleRate=Fs,Frequency=1000);
Sineobject2 = dsp.SineWave(SamplesPerFrame=1024,...
    SampleRate=Fs,Frequency=5000);
SA = spectrumAnalyzer(SampleRate=Fs,SpectrumType="power",...
    PlotAsTwoSidedSpectrum=false,ChannelNames={'Power spectrum of the input'},...
    YLimits=[-120 40],ShowLegend=true);

    Enable Measurements Data

    To obtain the measurements, set the Enabled property to true.

    SA.CursorMeasurements.Enabled = true;
SA.ChannelMeasurements.Enabled = true;
SA.PeakFinder.Enabled = true;
SA.DistortionMeasurements.Enabled = true;

    Use getMeasurementsData

    Stream in the noisy sine wave input signal and estimate the power spectrum of the signal using the spectrum analyzer. Measure the characteristics of the spectrum. Use the getMeasurementsData function to obtain these measurements programmatically. The isNewDataReady function returns true when there is new spectrum data. Store the measured data in the variable data.

    data = [];
for Iter = 1:1000
    Sinewave1 = Sineobject1();
    Sinewave2 = Sineobject2();
    Input = Sinewave1 + Sinewave2;
    NoisyInput = Input + 0.001*randn(1024,1);
    SA(NoisyInput);
     if SA.isNewDataReady
        data = [data;getMeasurementsData(SA)];
     end
end

    The bottom of the spectrum analyzer shows the measurement panes you enabled. The values in these panes match the values in the last time step of the data variable. You can access the individual fields of data to obtain the various measurements programmatically.

    Compare Peak Values

    Use the PeakFinder property to obtain peak values. Verify that the peak values in the last time step of data match the values shown on the spectrum analyzer plot.

    peakvalues = data.PeakFinder(end).Value 
    peakvalues = 3×1

  -59.4124
  -59.8725
  -60.0010


    frequencieskHz = data.PeakFinder(end).Frequency/1000
    frequencieskHz = 3×1

    0.2799
    0.5383
    0.6029

    Version History

    Introduced in R2022a

    See Also

    | |

    Topics