Forloop

Approximate Entropy (ApEn) is a popular tool in analysing the complexity of time series data especially in clinical research.This function is a very simple and efficient implementation of ApEn, based on vectorization concept that improves speed tremendously over for-loop implementation.It also...


Platforms: Matlab

it's useful to see how the mean and the standard deviation change when you use more samples to calculate it.The Array can contain NaN's but it's slower than cumstat (File ID: #26899) because it contain a for-loop


Platforms: Matlab

Solve multiple (2x2) or (3x3) linear systems:A(:,:,k)*X(:,:,k) = B(:,:,k) for k=1,2,...,NThe method used here is basic cofactor/determinant.DISADVANTAGE: This method may be less accurate than Matlab backslash (using in for-loop) when the matrices are ill-conditioned.ADVANTAGE: for a large number...


Platforms: Matlab

Up to now, to find the first non-zero element of a matrix along a column (for example) user might:1. Use for-loop with FIND command for j=1:size(A,2) ... = find(A(:,j), 1, 'first'); end 2. Use other vectorized methods, often time not very straight-forwards (MAX, LOGICAL, SPARSE, etc...). This...


Platforms: Matlab

A 2D TM wave containing the xy-plane polarized magnetic field having components Hy and Hx and z-polarized electric field Ez. The fields are updated at every timestep, in a unitless space, where all physical parameters of free space are normalized to 1. The update is done using standard update...


Platforms: Matlab