Find Nonzero element of a signal in simulink - without using "Find" block
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Hi,
I need to find nonzero elements in Simulink of a Boolean vector signal, for example:
[1;0;1;0;0]
Basically it comes from comparison of two signals. This can be done by a find block in Simulink but I am only using blocks in the "slcilib" (simulink code inspector library) for code certifiable reasons, and of course it does not contain a find block.
What I expect to have is the index vector itself, in this case [1 3], and I will feed this index vector to a selector block index port (this port does not support Boolean data type!), to select corresponding values of another signal and assign these values.
Is it possible to do it using only math and logic operations that are contained in the slcilib? Any clue would be helpful!
Thanks!
4 件のコメント
Azzi Abdelmalek
2016 年 8 月 29 日
@Jiannan, the community does not represent Mathworks, we almost have the same status, except some earned privileges to edit or delete questions! In this forum, we try to avoid answering homework, but sometimes it's not clear if it's an assignment or not. So, there is nothing funny about Jhon's comment
回答 (2 件)
Azzi Abdelmalek
2016 年 8 月 29 日
編集済み: Azzi Abdelmalek
2016 年 8 月 29 日
You can use compare to zero block
3 件のコメント
Azzi Abdelmalek
2016 年 8 月 29 日
編集済み: Azzi Abdelmalek
2016 年 8 月 29 日
Edit
If yoursignal=[1 0 1 0 1 ], If the sample time is ts=0.1 for example to get the indices,
idx=10*ts*yoursignal=1*1=1
idx=10*2*ts*yoursignal=2*0=0
idx=10*3*ts*yoursignal=3*1=3
idx=10*4*ts*yoursignal=4*1=0
idx=10*5*ts*yoursignal=5*1=5
You get the indices 1,3 and 5. You will ignore the 0 value
NB: n*Ts is given by the clock
Peter Anderson
2018 年 4 月 26 日
編集済み: Peter Anderson
2018 年 4 月 26 日
See my answer to this question here:
Short answer is use a for-iterator subsystem. This version finds the first non-zero element and then stops looking.
Note that there will be a performance hit doing it this way over MATLAB function block with a find function call when simulating in normal mode. Not noticable for small arrays but I tested it for large arrays with a one in the final index and it was much slower. Running in accelerator mode was fine though.
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