MATLAB Help Center
Characteristic information about DPD input data preprocessor
Since R2024b
S = info(dpdin)
S = info(dpdin) returns characteristic information about the DPD input data preprocessor.
S
dpdin
example
collapse all
Configure a dpdPreprocessor object with the PA memory depth set to 4 and the PA nonlinearity degree set to 3.
dpdPreprocessor
paMemDepth = 4; paNonlinDeg = 3; paPreprocessor = dpdPreprocessor(paMemDepth,paNonlinDeg);
Generate random QAM-modulated symbols, apply DPD preprocessing, and show the size of the augmented DPD preprocessor input returned.
M = 16; % 16-QAM x = randi([0 M-1],10e3,1); qamRefSym = single(qammod(x,M)); paScalingFactor = 40; paInputFeatures = paPreprocessor(qamRefSym*paScalingFactor); size(paInputFeatures)
ans = 1×2 10000 16
Show the characteristic information of the DPD preprocessor object.
info(paPreprocessor)
ans = struct with fields: NumFeatures: 16
DPD input data preprocessor, specified as a dpdPreprocessor System object™
Characteristic information about the DPD input data preprocessor object, returned as a scalar structure. Default content includes this fields.
NumFeatures
Total number of features, returned as a positive integer.
Introduced in R2024b
You clicked a link that corresponds to this MATLAB command:
Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
Europe
Asia Pacific
Contact your local office