Resolution bandwidth of spectrum
Compute the power spectrum of a multichannel sinusoidal signal using the
dsp.SpectrumEstimator System object™. You can get the vector of frequencies at which the spectrum is estimated using the
getFrequencyVector function. To compute the resolution bandwidth of the estimate (RBW), use the
Generate a three-channel sinusoid sampled at 1 kHz. Specify sinusoidal frequencies of 100, 200, and 300 Hz. The second and third channels have their phases offset from the first by and , respectively.
sineSignal = dsp.SineWave('SamplesPerFrame',1000,'SampleRate',1000, ... 'Frequency',[100 200 300],'PhaseOffset',[0 pi/2 pi/4]);
Estimate and plot the one-sided spectrum of the signal. Use the
dsp.SpectrumEstimator object for the computation and the
dsp.ArrayPlot for the plotting.
estimator = dsp.SpectrumEstimator('FrequencyRange','onesided'); plotter = dsp.ArrayPlot('PlotType','Line','YLimits',[0 0.75], ... 'YLabel','Power Spectrum (watts)','XLabel','Frequency (Hz)');
Step through to obtain the data streams and display the spectra of the three channels.
y = sineSignal(); pxx = estimator(y); plotter(pxx)
Get the vector of frequencies at which the spectrum is estimated in Hz, using the
f = getFrequencyVector(estimator);
Compute the resolution bandwidth (RBW) of the estimate using the
rbw = getRBW(estimator)
rbw = 0.0015
The resolution bandwidth of the signal power spectrum is 0.0015 Hz. This frequency is the smallest frequency that can be resolved on the spectrum.
estimator— Estimator object
Fs— Input sample rate
Input sample rate, specified as a real positive scalar.
RBW— Resolution bandwidth
Resolution bandwidth of the estimate, returned as a scalar.
The resolution bandwidth,
is the smallest positive frequency, or frequency interval, that can be resolved. It is
L is the input
NENBW is the normalized effective noise bandwidth of the
The data type of
RBW matches the data type of the input.