Vectorizing Calculation of the Autocorreltion function of a Matrix (Per Column)

1 次查看(过去 30 天)
Hello.
I have a matrix
A = [1 2 3; 4 5 6; 7 8 9];
I want to calculate the Autocorrelation function of each of its columns.
Simple way to do so:
for ii = 1:size(A, 2)
autocorrelationFunction(:, ii) = conv2(A(:, ii), A(end:-1:1, ii));
end
Could anyone think of a vectorized way of doing so?
Thanks.

采纳的回答

Royi Avital
Royi Avital 2014-9-11
It can be done using Toeplitz matrix.

更多回答(1 个)

Daniel Shub
Daniel Shub 2011-7-27
Wow, it is like a vectorization party in here today. Why do you want to vectorize your code? In recent years MATLAB has substantially sped up loops. If you are not using r2011a, you could speed up your loop by initializing autorcorrelationFunction to the correct size (r2011a has supposedly cut down on the cost of not pre-allocating arrays). You might be able to get a speed increase out of vectorization, but it may not be as big as you expect.
  1 个评论
Royi Avital
Royi Avital 2011-7-27
I know all / most the acceleration methods when dealing with loops.
I'm looking for something which removes the loop completely.
Thank you.

请先登录,再进行评论。

类别

Help CenterFile Exchange 中查找有关 Loops and Conditional Statements 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by