Get cumulative overrun and underrun
Read Variable Frame Sizes from Buffer
dsp.AsyncBuffer System object™ supports reading variable frame sizes from the buffer.
dsp.AsyncBuffer System object. The input is white Gaussian noise with a mean of 0, a standard deviation of 1, and a frame size of 512 samples. Write the input to the buffer using the
asyncBuff = dsp.AsyncBuffer; input = randn(512,1); write(asyncBuff,input); plot(input) hold on
Store the data that is read from the buffer in
Plot the input signal and data that is read from the buffer in the same plot. Read data from the buffer until all samples are read. In each iteration of the loop,
randi determines the number of samples to read. Therefore, the signal is read in as a variable-size signal. The
prevIndex variable keeps track of the previous index value that contains the data.
outTotal = zeros(size(input)); prevIndex = 0; while asyncBuff.NumUnreadSamples ~= 0 numToRead = randi([1,64]); out = read(asyncBuff,numToRead); outTotal(prevIndex+1:prevIndex+numToRead) = out; prevIndex = prevIndex+numToRead; end plot(outTotal,'r') hold off
Verify that the input data and the data read from the buffer (excluding the underrun samples, if any) are the same. The cumulative number of overrun and underrun samples in the buffer is determined by the
S = info(asyncBuff)
S = struct with fields: CumulativeOverrun: 0 CumulativeUnderrun: 28
CumulativeUnderrun field shows the number of samples underrun per channel. Underrun occurs if you attempt to read more samples than available.
S — Cumulative overrun and underrun information
Cumulative overrun and underrun information, returned as a structure. The fields for
S are described in the table.
Number of samples overrun per channel since last call to
Number of samples underrun per channel since last call to
CumulativeUnderrun properties are data type
Introduced in R2017a