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I want to make a loop in order to add the current state with the previous state.
For example:
M=1000;
for i=1:M A=i*(x(i));
This formula will be for M=1 but when M=2 the formula will be like this:
A=(i*(x(i))+((i-1)*(x(i-1)))
and when M=3 the formula will be
A=(i*(x(i))+((i-1)*(x(i-1)))+((i-2)*(x(i-2))
and so on till reach the maximum length of M which is 1000.
Your question is quite vague but it sounds like you just want a cumulative sum of the i*x(i) series:
i = 1:M;
s = i.*x(i);
cumsum(s);
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I want to intertwine 0s between the bits of a variable. For example, imagine I have a variable a as follows
a = 1101
Then, I want to obtain the following result
b = 1_000000_1_000000_0_000000_1
That results from intertwining 6 0s betwen each bit of a. I was wondering if there was any elegant way of doing this in SystemVerilog. Any help is appreciated.
b = 0;
foreach (a[i]) b[i*7] = a[i];
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How to write the MATLAB code
to create a signal consisting of a 'delay' of 1000 samples of zeros,
followed by variable which i found in previous part 'sss' of 1000 samples and the message I've created 'msg' ?
so there are three variables 'delay' , 'sss' , and 'msg'
please help. thanks
Concatenate them.
newSignal = [delay sss msg];
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I need matlab coding for measuring mean value of one row in a matrix of 180 by 50 rows and columns. Each time the number of row in a matrix needs to be updated to get mean value of next row (like new_row=1:1:180). Kindly respond as soon as possible
You are looking for mean().
mean(A,2)
This will give you the means of each row of matrix A.
P.S.: If you already save one row in a vector, say new_row, you can simply use:
mean(new_row)
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I need to do an optimization problem using ga algorithm. The number of decision variable is 3. i.e 3 x 1 matrix. but first element is always 0. keeping this as reference I want to optmize other two variables. How can I do this task?
Then just use
lb = [0,0,0];
ub = [0,8,8];
IntCon = [0 2 3];
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The default matlab function medfilt2 uses a rectangular mask.
Thanks guys
you can use ordfilt2 .
For example, if your "ring" is just defined by:
ring= fspecial('gaussian',21,1)
ring = ring>eps & ring<1e-9
then:
order=sum(ring(:))/2;
B = ordfilt2(A,order,ring);
replaces each element in A by the order-th element in the sorted set of neighbors specified by the nonzero elements in the ring domain.
Here I chose 'order' to be half the total # of the pixels in the ring.