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error Unrecognized function or variable help me please :(!

12 次查看（过去 30 天）
Time
Time 2024-2-9
编辑： Voss 2024-2-13
the question(the part i tried to solve):
Write a function called PlotSignal, the function will display on a graph the signal it receives.
1.1. The function inputs are:
1.1.1 signalsCell – an object of cell array type, (each pair of rows in it represents one letter, see details
At the end of the question(
1.1.2 n – the number of the signal to be displayed
1.2. The function does not return any value.
1.3. The letter n from the array of cells should be displayed on a graph according to the following detail:
1.3.1. The signal color shall be black.
as you see i have an error in my code i dont know how to load the input in the workspace i tried to do
function PlotSignal(signalsCell, n)
signalsCell=signals(2*n-1:2*n,:);
Y=cell2mat(signalsCell);
X=signals(n,:);
figure;
plot(X,Y,'k');
end
the eroor
Unrecognized function or variable 'signalsCell'.
can someone please help me ? even to write all over again the function please?
thanks !
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回答（3 个）

Catalytic
Catalytic 2024-2-10
Ran in:
signalsCell=load('signals').signals;
PlotSignal(signalsCell, 3)
function PlotSignal(signalsCell, n)
Headings=signalsCell(:,1);
Table=cell2table(signalsCell(:,2:end)');
plot(Table, 2*n-1,2*n,Color='k');
xlabel(Headings{2*n-1});
ylabel(Headings{2*n});
end
Matt J
Matt J 2024-2-10
编辑：Matt J 2024-2-10
Ran in:
Perhaps as follows?
signalsCell=load('signals').signals;
PlotSignal(signalsCell, 3)
function PlotSignal(signalsCell, n)
signalsCell=num2cell(cell2mat(signalsCell(:,2:end)),2);
X=signalsCell(1:2:end);
Y=signalsCell(2:2:end);
figure;
plot(X{n},Y{n},'o-k');
end
Stephen23
Stephen23 2024-2-10
编辑：Stephen23 2024-2-10
Ran in:
That really is very bad data design: one single numeric array would be much better than storing lots of numeric scalars in a huge cell array. Your tutor tried to replicate something like a TABLE... but should just use a TABLE. You will have to unlearn half of what they show you :(
signals = load('signals.mat').signals
signals = 6×56 cell array
Columns 1 through 13 {'time'} {[ 0]} {[ 0.1164]} {[ 0.2327]} {[ 0.3491]} {[ 0.4654]} {[ 0.5818]} {[ 0.6981]} {[ 0.8145]} {[ 0.9308]} {[ 1.0472]} {[ 1.1636]} {[ 1.2799]} {'y1' } {[ 7]} {[ 7.5805]} {[ 8.1531]} {[ 8.7101]} {[ 9.2440]} {[ 9.7475]} {[10.2139]} {[10.6369]} {[11.0106]} {[11.3301]} {[11.5911]} {[11.7899]} {'time'} {[-6.2832]} {[-6.0505]} {[-5.8178]} {[-5.5851]} {[-5.3523]} {[-5.1196]} {[-4.8869]} {[-4.6542]} {[-4.4215]} {[-4.1888]} {[-3.9561]} {[-3.7234]} {'y2' } {[ 4]} {[ 4.1153]} {[ 4.2244]} {[ 4.3214]} {[ 4.4011]} {[ 4.4591]} {[ 4.4924]} {[ 4.4992]} {[ 4.4790]} {[ 4.4330]} {[ 4.3637]} {[ 4.2748]} {'time'} {[-6.2832]} {[-6.1668]} {[-6.0505]} {[-5.9341]} {[-5.8178]} {[-5.7014]} {[-5.5851]} {[-5.4687]} {[-5.3523]} {[-5.2360]} {[-5.1196]} {[-5.0033]} {'y3' } {[50.1000]} {[49.7619]} {[48.7522]} {[47.0846]} {[44.7816]} {[41.8744]} {[38.4022]} {[34.4121]} {[29.9579]} {[25.1000]} {[19.9040]} {[14.4402]} Columns 14 through 25 {[ 1.3963]} {[ 1.5126]} {[ 1.6290]} {[ 1.7453]} {[ 1.8617]} {[ 1.9780]} {[ 2.0944]} {[ 2.2108]} {[ 2.3271]} {[ 2.4435]} {[ 2.5598]} {[ 2.6762]} {[11.9240]} {[11.9915]} {[11.9915]} {[11.9240]} {[ 11.7899]} {[ 11.5911]} {[ 11.3301]} {[ 11.0106]} {[ 10.6369]} {[ 10.2139]} {[ 9.7475]} {[ 9.2440]} {[-3.4907]} {[-3.2579]} {[-3.0252]} {[-2.7925]} {[ -2.5598]} {[ -2.3271]} {[ -2.0944]} {[ -1.8617]} {[ -1.6290]} {[ -1.3963]} {[ -1.1636]} {[ -0.9308]} {[ 4.1710]} {[ 4.0580]} {[ 3.9420]} {[ 3.8290]} {[ 3.7252]} {[ 3.6363]} {[ 3.5670]} {[ 3.5210]} {[ 3.5008]} {[ 3.5076]} {[ 3.5409]} {[ 3.5989]} {[-4.8869]} {[-4.7706]} {[-4.6542]} {[-4.5379]} {[ -4.4215]} {[ -4.3051]} {[ -4.1888]} {[ -4.0724]} {[ -3.9561]} {[ -3.8397]} {[ -3.7234]} {[ -3.6070]} {[ 8.7824]} {[ 3.0072]} {[-2.8072]} {[-8.5824]} {[-14.2402]} {[-19.7040]} {[-24.9000]} {[-29.7579]} {[-34.2121]} {[-38.2022]} {[-41.6744]} {[-44.5816]} Columns 26 through 37 {[ 2.7925]} {[ 2.9089]} {[ 3.0252]} {[ 3.1416]} {[ 3.2579]} {[ 3.3743]} {[ 3.4907]} {[ 3.6070]} {[ 3.7234]} {[ 3.8397]} {[ 3.9561]} {[ 4.0724]} {[ 8.7101]} {[ 8.1531]} {[ 7.5805]} {[ 7.0000]} {[ 6.4195]} {[ 5.8469]} {[ 5.2899]} {[ 4.7560]} {[ 4.2525]} {[ 3.7861]} {[ 3.3631]} {[ 2.9894]} {[ -0.6981]} {[ -0.4654]} {[ -0.2327]} {[ 0]} {[ 0.2327]} {[ 0.4654]} {[ 0.6981]} {[ 0.9308]} {[ 1.1636]} {[ 1.3963]} {[ 1.6290]} {[ 1.8617]} {[ 3.6786]} {[ 3.7756]} {[ 3.8847]} {[ 4]} {[ 4.1153]} {[ 4.2244]} {[ 4.3214]} {[ 4.4011]} {[ 4.4591]} {[ 4.4924]} {[ 4.4992]} {[ 4.4790]} {[ -3.4907]} {[ -3.3743]} {[ -3.2579]} {[ -3.1416]} {[ -3.0252]} {[ -2.9089]} {[ -2.7925]} {[ -2.6762]} {[ -2.5598]} {[ -2.4435]} {[ -2.3271]} {[ -2.2108]} {[-46.8846]} {[-48.5522]} {[-49.5619]} {[-49.9000]} {[-49.5619]} {[-48.5522]} {[-46.8846]} {[-44.5816]} {[-41.6744]} {[-38.2022]} {[-34.2121]} {[-29.7579]} Columns 38 through 50 {[ 4.1888]} {[ 4.3051]} {[ 4.4215]} {[ 4.5379]} {[ 4.6542]} {[ 4.7706]} {[ 4.8869]} {[ 5.0033]} {[ 5.1196]} {[ 5.2360]} {[ 5.3523]} {[ 5.4687]} {[ 5.5851]} {[ 2.6699]} {[ 2.4089]} {[ 2.2101]} {[ 2.0760]} {[ 2.0085]} {[ 2.0085]} {[ 2.0760]} {[ 2.2101]} {[ 2.4089]} {[ 2.6699]} {[ 2.9894]} {[ 3.3631]} {[ 3.7861]} {[ 2.0944]} {[ 2.3271]} {[ 2.5598]} {[ 2.7925]} {[ 3.0252]} {[ 3.2579]} {[ 3.4907]} {[ 3.7234]} {[ 3.9561]} {[ 4.1888]} {[ 4.4215]} {[ 4.6542]} {[ 4.8869]} {[ 4.4330]} {[ 4.3637]} {[ 4.2748]} {[ 4.1710]} {[ 4.0580]} {[ 3.9420]} {[ 3.8290]} {[ 3.7252]} {[ 3.6363]} {[ 3.5670]} {[ 3.5210]} {[ 3.5008]} {[ 3.5076]} {[ -2.0944]} {[ -1.9780]} {[ -1.8617]} {[-1.7453]} {[-1.6290]} {[-1.5126]} {[-1.3963]} {[-1.2799]} {[-1.1636]} {[-1.0472]} {[-0.9308]} {[-0.8145]} {[-0.6981]} {[-24.9000]} {[-19.7040]} {[-14.2402]} {[-8.5824]} {[-2.8072]} {[ 3.0072]} {[ 8.7824]} {[14.4402]} {[19.9040]} {[25.1000]} {[29.9579]} {[34.4121]} {[38.4022]} Columns 51 through 56 {[ 5.7014]} {[ 5.8178]} {[ 5.9341]} {[ 6.0505]} {[ 6.1668]} {[ 6.2832]} {[ 4.2525]} {[ 4.7560]} {[ 5.2899]} {[ 5.8469]} {[ 6.4195]} {[ 7.0000]} {[ 5.1196]} {[ 5.3523]} {[ 5.5851]} {[ 5.8178]} {[ 6.0505]} {[ 6.2832]} {[ 3.5409]} {[ 3.5989]} {[ 3.6786]} {[ 3.7756]} {[ 3.8847]} {[ 4]} {[-0.5818]} {[-0.4654]} {[-0.3491]} {[-0.2327]} {[-0.1164]} {[ 0]} {[41.8744]} {[44.7816]} {[47.0846]} {[48.7522]} {[49.7619]} {[50.1000]}
PlotSignal(signals,1)
PlotSignal(signals,3)
function PlotSignal(inp,n)
sig = "y"+n;
idx = find(strcmpi(sig,inp(:,1)));
X = cell2mat(inp(idx-1,2:end));
Y = cell2mat(inp(idx-0,2:end));
plot(X,Y,'+-k');
legend(sig)
end
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Voss
Voss 2024-2-13
Ran in:
@Time: I get a different error (using the mat file provided by @tal):
n=3;
load('signals.mat','signals')
PlotSignal(signals,n);
Error using cell2mat
All contents of the input cell array must be of the same data type.

Error in solution>PlotSignal (line 7)
Y = cell2mat(signalsCell(2:end));
function PlotSignal(signalsCell, n)
X=signalsCell(2*n-1,2*n);
Y = cell2mat(signalsCell(2:end));
figure;
plot(X,Y,'k');
end
Voss
Voss 2024-2-13
编辑：Voss 2024-2-13
Ran in:
@Time: However, if I modify the function as suggested by Stephen, it runs fine:
n=3;
load('signals.mat','signals')
PlotSignal(signals,n);
function PlotSignal(signalsCell, n)
X = cell2mat(signalsCell(2*n-1,2:end));
Y = cell2mat(signalsCell(2*n-0,2:end));
plot(X,Y,'k');
end

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