Convert Data from array
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
David Jones
am 22 Sep. 2020
Kommentiert: Star Strider
am 24 Sep. 2020
Hi
I have attached a Jpeg of my data file displayed in a plot,(0 to 80mS) it shows exactly the data I need how do I convert this data to a new array as is in the plot. The actual array use to create the plot has 16000 samples at 5uS per sample which is of no interest .I just need the 1s and 0s as the plot along with there timing and not 16000 1s and 0s
Thank you for any help
David
0 Kommentare
Akzeptierte Antwort
Star Strider
am 22 Sep. 2020
I am not certain what your data are, or what you want to do.
One option for reducing the size of the array and still getting the plot is to use the find function to detect the 1 and 0 levels, and simply store them. Use the stem function to plot them. Another (likely more robust) option is to use the Signal Processing Toolbox midcross function to detect the pulses.
The find function might return something like this:
idx = [1 5 6 9 21 23 30 35 40];
that you could then plot as:
figure
stem(idx, ones(size(idx)), 'Marker','none')
grid
.
8 Kommentare
Star Strider
am 24 Sep. 2020
I honestly have no idea how best to do that.
Try this:
D = load('mandecode.mat');
y = D.manchesterDecoded;
st = [1 strfind(y, [0 1])];
en = strfind(y, [1 0]);
sten = sort([st en]);
dsten = diff([0 sten]); % <— This May Be What You Want
bitlen = min(dsten);
figure
histogram(dsten, 2*numel(st))
figure
plot(y, 'LineWidth',1.5)
grid
figure
plot(dsten)
grid
.
Weitere Antworten (1)
Ameer Hamza
am 22 Sep. 2020
It seems that you want to reduce the number of samples. For your data, a good option seems to be decimate(): https://www.mathworks.com/help/signal/ref/decimate.html
5 Kommentare
Ameer Hamza
am 22 Sep. 2020
Check this code. It just keeps one value of 1s and 0s for each consecutive sequence along with the corresponding time
load Data.mat
n = numel(sqwvx);
Ts = 5e-6;
t = 0:Ts:(n-1)*Ts;
idx = find(diff(sqwvx));
t_new = t(idx);
sqwvx_new = sqwvx(idx);
Siehe auch
Kategorien
Mehr zu Multirate Signal Processing finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!