Plotting multiple piecewise functions onto the same graph

Hi!
I'm new to the program and i've been trying to plot two piecewise functions,
y(x) = piecewise(0<x<1.85, sin(523.26*pi*x), 1.85<x<3.7, 0, 3.7<x<5.55, sin(523.26*pi*x), 5.55<x<7.4, 0, 7.4<x<9.25, sin(523.26*pi*x));
and
y2(x) = piecewise(0<x<1.63, sin(463.08*pi*x), 1.63<x<3.26, 0, 3.26<x<4.89, sin(463.08*pi*x), 4.89<x<6.52, 0, 6.52<x<8.15, sin(463.08*pi*x));
onto the same graph, but i can't get the coding right. Would anyone be able to help?
Thank you so much in advance

2 个评论

Maybe you have some coding so we can correct it?
Oh absolutely,
I couldn't find any support for this specific case but what I tried was this (which is probably way off:
syms y1(x)
y1(x) = piecewise(0<x<1.85, sin(523.26*pi*x), 1.85<x<3.7, 0, 3.7<x<5.55, sin(523.26*pi*x), 5.55<x<7.4, 0, 7.4<x<9.25, sin(523.26*pi*x));
fplot(y1)
hold on
syms y2(x)
y2(x) = piecewise(0<x<1.63, sin(463.08*pi*x), 1.63<x<3.26, 0, 3.26<x<4.89, sin(463.08*pi*x), 4.89<x<6.52, 0, 6.52<x<8.15, sin(463.08*pi*x));
fplot(y2)

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 采纳的回答

I coded and ran ‘y1’ as:
y1 = @(x) ((0<x) & (x<1.85)).*sin(523.26*pi*x) + ((1.85<x) & (x<3.7)).*0 + ((3.7<x) & (x<5.55)).*sin(523.26*pi*x) + ((5.55<x) & (x<7.4)).*0 + ((7.4<x) & (x<9.25)).*sin(523.26*pi*x);
t = linspace(-5, 20, 500);
figure
plot(t, y1(t))
grid
Do the same for ‘y2’. Choose as many points as you want for ‘t’.

4 个评论

Unfortunately this wouldn't solve my problem of having both functions on the same graph. Thanks though! :)
Yes, it would!
Code ‘y2’ using the same approach I used when I coded ‘y1’, then:
figure
plot(t, y1(t), t, y2(t))
grid
or use the hold function with two plot calls.
Oh I see!! Now it works perfectly :)
do you happen to have any tips on how to change the number of points for t? Given it's really high-frequency, the mapped function dosen't look too sinusoidal anymore...
Change the third argument in the linspace function to change the number of points it creates. (The default number is 100.) See the documentation section on Vector with Specified Number of Values.

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