Linear interpolation two array with target value in one array

Given two array
A=[483, 427, 306, 195]
B=[0, 0.25, 0.5, 0.75]
Given a target the value 241, which is between the values 306 and 195 in the Array A. I want to find the value in the array B which is proportional to the value 241 in A. For this case the wanted value is 0.65 because x=0.75- [(241-195)/(306-195)]*0.25
I have to do this for a lot of array. Is there a simple way to do it?

3 个评论

You are multiplying with 0.25 in the end. Should not it be 0.5? As it will cause array index errors if your target lies between A(1) and A(2).
How do you define the target value 241 in your example? and explain better the derivation of x (why do you multiply by 0.25?)
It is the step of the array B, 0.25=0.75-0.5 . 241 is a given target I decide it by myself

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 采纳的回答

Interpolate using interp1:
A=[483, 427, 306, 195];
B=[0, 0.25, 0.5, 0.75];
target = 241;
Result = interp1(A, B, 241)
Result = 0.6464
Graphically:
figure
plot(A, B, '-b')
hold on
plot(target, Result, 'p', 'MarkerSize',10, 'MarkerFaceColor','g')
plot([1 1]*target, [min(ylim) Result], '--r')
plot([min(xlim) target], [1 1]*Result, '--r')
hold off
grid
xlabel('A')
ylabel('B')
text(target, Result, sprintf(' \\leftarrow (%d, %.2f)', target, Result), 'Horiz','left', 'Vert','middle')
.

更多回答(2 个)

I did not check it thoroughly but I think it will work
clc;clear all;close all
A=[483,427, 306, 195];
B=[0, 0.25, 0.5, 0.75];
target = 241;
for col = 1:1:size(A,2)
if (target < A(col) && target > A(col+1)) % if target lies between the range
result = B(col+1)-((target-A(col+1))/(A(col)-A(col+1)))*(B(col+1)-B(col)) % desired operation
break
end
end
Try this
clc, clear
A = [483, 427, 306, 195];
B = [0, 0.25, 0.5, 0.75];
% assume that these are your target values
target = arrayfun(@(x, y) mean([x, y]), A(1:end-1), A(2:end));
% force last value to be 241 to check with your example
target(end) = 241;
step = B(2)-B(1);
% save values in c
c1 = nan(size(target));
% using for loop
for nv=1:length(c1)
c1(nv) = B(nv+1) - step*(target(nv)-A(nv+1))/(A(nv)-A(nv+1));
end
% without foor
c2 = arrayfun(@(x0, x1, x2, y) y-step*(x0-x2)/(x1-x2), target, A(1:end-1), A(2:end), B(2:end));
disp(c1)
0.1250 0.3750 0.6464
disp(c2)
0.1250 0.3750 0.6464

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