Upload ADC data from a Datapixx internal acquisition buffer to the local host.
-“numFrames” is the number of acquired frames to upload. In a streaming
application, numFrames should not exceed newBufferFrames returned by
GetAdcStatus. It may be possible to reduce dynamic memory allocation overhead by
matching numFrames to the size of an existing bufferData output argument.
-“bufferAddress” is the byte address in Datapixx RAM where the buffered data can
be found. If this argument is not provided, it will take on the value of
bufferBaseAddress passed to the last call to SetAdcSchedule. Specifying a
bufferAddress of -1 will cause data to be streamed from the buffer which was
defined in the last call to SetAdcSchedule.
-“bufferData” is a 2D matrix of acquired ADC voltages. Each row of the matrix
contains the acquired data for one ADC channel. Each column of the matrix
contains one acquired datum for each ADC channel. ReadAdcBuffer assumes that the
number of channels to return equals the number of channels passed in the last
call to SetAdcSchedule.
-“bufferTimetags” is a row vector of acquisition timetags. There is one timetag
for each acquisition frame in bufferData. The timetags are in double precision
seconds since Datapixx powerup.
-“underflow” or “overflow” are set to 1 if streaming calls to ReadAdcBuffer read
data too quickly or too slowly. If bufferAddress is passed a value of -1, then
ReadAdcBuffer is streaming continuous acquisition data from a circular buffer.
Streaming acquisition must ensure that the uploaded data frame always remains
behind the acquisition frame, without allowing acquired data to overflow the
acquisition buffer. The newBufferFrames field returned by GetAdcStatus indicates
the maximum number of frames which can be read by ReadAdcBuffer. If more than
this number of frames is read, an underflow occurs and there will be errors in
the acquired data. If the streaming data is not read quickly enough, and
newBufferFrames exceeds the buffer size (numBufferFrames passed to
SetAdcSchedule)) then an overflow has occurred, causing data to be lost. In
addition to returning underflow/overflow flags, the
numStreamUnderflows/numStreamOverflows fields returned by GetAdcStatus will be
See DatapixxAdc*Demo files for examples.