| JOINTPROB | Rejection of odd columns of a data array using joint probability of the values in that column (and using the probability distribution of all columns). |
| Usage: | >> [rej jp] = jointprob( signal ); >> [rej jp] = jointprob( signal, threshold, jp, normalize, discret); |
| Inputs: | |
signal |
one dimensional column vector of data values, two dimensional column vector of values of size sweeps x frames or three dimensional array of size component x sweeps x frames. If three dimensional, all components are treated independantly. |
threshold |
Absolute threshold. If normalization is used then the threshold is expressed in standard deviation of the mean. 0 means no threshold. |
jp |
pre-computed joint probability (only perform thresholding). Default is the empty array []. |
normalize |
0 = do not not normalize entropy. 1 = normalize entropy. Default is 0. |
discret |
discretization variable for calculation of the discrete probability density. Default is 1000 points. |
| Outputs: | |
jp |
normalized joint probability of the single trials (size component x sweeps) |
rej |
rejected matrix (0 and 1, size comp x sweeps) |
| Remark: | The exact values of joint-probability depend on the size of a time step and thus can not be considered as absolute. |
| See also: | realproba |