Non scalar struct array - matlab

Question

This is very complicated problem about data structures, I will try and explain it as simple as possible
I have multiple signals in a array signals, every element of this is a structure with multiple segments of the signal and its attribute.
Now I have another function which filters this signal and does some calculation according to the cut off frequency.
Whenever this function is called, I want to loop through all fc, and through all signals and through all segments. But the problem is fc is calculated only in a signal, so I have something like this:
classdef datHandle < handle
properties
error_norm = {};
final_error = {};
signals = {};
end
methods
function this = addsignal(this, varargin)
%signal segmentation is done here
end
function this = addfilter(this, varargin)
for i = 1:length(this.signals)% for each signal
this.error_norm = {};
fn = 1/((mean(diff(this.signals{i}(1).time)))*2);
fc = linspace(1,fn,(fn/0.5)); %calculate fc
this.tempaddfilt(fc,i)
end
this.final_error = [this.final_error;this.error_norm];
end
function this = tempaddfilt(this,varargin)
s = [];
f = ltiFilter.PT1(); % initiate filter class
fc = varargin{1}; % take fc
i = varargin{2}; % the exact signal
for a = 1:length(fc) % fc
q = 0;
w = 0;
for k = 1:length(this.segments{i}) % segment of ith signal
f.fc = fc(a);
filt_sig = f.eval(this.segments{i}(k).signal,this.segments{i}(k).signal(1)); %signal and the initial value of the signal
filt_sig = filt_sig';
s(1,i).main(k).seg_err(a) = std((filt_sig-this.segments{i}(k).ref)); % calculate the standard diviation of the signal
q = q+s(1,i).main(k).seg_err(a);
s(1,i).main(k).fc(a) = fc(a);
end
s(1,i).main(i).sig_err(a) = q;
w = w+s(1,i).main(i).sig_err(a);
end
s(1,1).main(1).filt_err(a) = w;
this.error_norm = [this.error_norm s];
end
end
end
test script:
clear all
close all
filname = load('file');
signal1 = filname.signal; % current value
time1 = filname.time;
signal2 = filname.signal2; % current value
time2 = filname.time2;
f = ltiFilter.datHandle();
f.addsignal(signal1,time1,93);
f.addfilter()
I planned the final_norm to be something like this:
But my algorithm doesn't work, when I add 2nd signal. If anyone has better algorithm any suggestion is welcome.

Answer 1

I don't fully understand, what is your data structure and why each signal is divided into segments? Do you have frame-based signal processing (chunk by chunk), or there is an algorithm for signal segmentation?
I think you should make more than one class with object vectorization along signals, filters and segments.