For example, I have two collections of data, audio stimuli and neurons' response to these audios. What I need is to (1) calculate some values for each audio ( e.g. fs,y, spectrogram) or each neuron's response and (2) calculate other values based on the whole collections of audios or all neurons' response ( e.g. find the audio file which has the maximum average volume) and finally (3) aggregate all these values from audios and neural responses together for more complex calculations.(e.g. fitting the stimulus-response function).
Basically I plan to design three Classes, Class Audio for analyzing audios, Class Neuron for analyzing neural response, and Class Aggregation which aggregate the first two classes and do complex calculations. My question is, should I create a Class that processes only a single audio/neuron or a class that processes all audios/neurons at once? Or is there any better way to design such a structure?
I found both ways have some weaknesses. If the Class is for a single audio/neuron, I have to write functions outside this Class to calculate values based on the whole audios/neurons collection.
classdef Audio
properties
y
fs
end
methods
function obj = Audio(path)
[y,fs] = audioread(path);
end
end
end
function maxvolume = maxVolume(path_collection)
for path = 1: length(path_collection)
end
end
While If the Class is for collections of audio files, then I may have to write iterations in each methods, especially for the class Aggregation:
classdef Aggregation
function f1(audios, neurons)
for m = 1: length(neurons)
for n = 1: length(audios)
...
end
end
end
function f2(audios, neurons)
for m = 1: length(neurons)
for n = 1: length(audios)
...
end
end
end
end
