How to build a for-loop for 3rd dimensional noise realizations

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Jordan Willis
Jordan Willis 2021-1-27
评论： Jordan Willis 2021-2-1
I am currently working on some research and was given a signal set of 1000x320x10 that I need to filter. The 3rd dimension is the number of noise realizations present. For a prior signal set, I used a for-loop to cycle through the data, line-by-line, and save the newly filtered data for later testing. I now need to include a seperate for-loop to also go through the 10 noise realization, but I am unsure how to properly make it go through the consecutive loops of that 3rd dimension. Do i just nest another for loop in there somewhere after filtering the original 1000 rows? Or do I need to filter them each row by row (1x320x1, 1x320x2, 1x320x3,...,1x320x10)?
Thank you!
clc;
clear;
close all;
load Wifi_Data_9dB_L5;
Fs = 20e6; %Establishing Variables
Fsamp = 20e6;
BW = 7.7e6;
Rp = 0.01;
Order = 4;
ImpPlot = 0;
PrntPlots = 0;
Rp = 0.01;
%%--------------------------------------------------------------------------
Tsamp = 1/Fsamp; %Filter variables
SNR = 9;
NumMC = 10;
FiltType ='Cheby';
N = 6;
for i = 1:1000
New_Sig = SigPlusNoise(i,:); %Drawing signal from given matrix
SigIn = New_Sig; %Establihing input signal
cheby = LPF_ChebyI_V1(SigIn,Fsamp,Order,BW,Rp,ImpPlot,PrntPlots); %Filter function
New_data(i,:) = (cheby); %Making new matrix
end
save('New_data') %Saving filtered signal in file New_Data
  1 个评论
Jordan Willis
Jordan Willis 2021-2-1
For anybody that reads this in the future, the issue is that I was being given a cell with a huge matrix crammed into it. So, using Tarunbir's answer, all I had to change was to use SigPlusNoise{1} in combination with the (i, :, j).
My code is now listed below and runs fine.
for i = 1:1000
for j = 1:10
New_Sig = SigPlusNoise{1}(i,:,j); %Drawing signal from given matrix
SigIn = New_Sig; %Establihing input signal
cheby = LPF_ChebyI_V1(SigIn,Fsamp,Order,BW,Rp,ImpPlot,PrntPlots); %Filter function
New_data(i,:,j) = (cheby); %Making new matrix
end
end

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Tarunbir Gambhir
Tarunbir Gambhir 2021-1-29
Based on the information you have shared, I assume that you have 1000 samples of signals which are of length 320, and have 10 different noise realizations each.
I suggest you use a nested for loop to go through the third dimension, filtering among different noise levels for each signal. Something like this should work.
for i = 1:1000
for j = 1:10
New_Sig = SigPlusNoise(i,:,j); %Drawing signal from given matrix
SigIn = New_Sig; %Establihing input signal
cheby = LPF_ChebyI_V1(SigIn,Fsamp,Order,BW,Rp,ImpPlot,PrntPlots); %Filter function
New_data(i,:,j) = (cheby); %Making new matrix
end
end
On a side note, I advise you to initialise 'New_data' variable with the correct size before entering the for loop.

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