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How to realize linear function (filter?) with saturation?

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Initial signal equals ones, then minus ones (it can switch many times):
u = [ones(15,1);-ones(5,1)];
If u==1 then output should be .1; .2... up to 1 and stay 1 (saturation). After u==-1 the output should be -.1; -.2... up to -1.
I tried filter:
Nb = 10;
b = ones(1,Nb)/Nb;
y = filter(b,1,u);
stem([u, y])
It's wrong:
How to make transform function (maybe filter)?

Accepted Answer

Jan
Jan on 2 May 2021
Edited: Jan on 2 May 2021
u = [ones(15,1);-ones(5,1)];
Ramp = 0.1:0.1:1; % Set of values
v = SaturatedRamp(u, Ramp);
function v = SaturatedRamp(u, R)
% Running index, starting from 1 at each change:
k = [false; diff(u(:)) ~= 0];
s = [1; find(k)];
I = ones(numel(u), 1);
I(k) = 1 - diff(s);
I = cumsum(I);
R = R(:);
I = min(numel(R), I); % Limit indices to length of ramp
v = R(I) .* u(:); % Copy sign of original data
end
  1 Comment
Alexander
Alexander on 2 May 2021
Thank you very much, Jan!
(I looked through function
ischange(A,'linear','Threshold',THR);
how it plots the results.)

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