Hypothesized

The .m file simulates a Spread-Spectrum Modulation Trx/Rcx system, in which, the phase of the pseudo-random sequence generated in the transmitter and used to encode the data stream is unknown a priory at the receiver.A parallel search strategy is employed to locally determine it in the place. It... Platforms: Matlab

Besides the power estimation it makes the hypothesis testing concerning the one-sample variance. The function only needs the sample variance, the sample size, the hypothesized value and the significance level. Platforms: Matlab

Single Sample Kupier Goodness-Of-Fit Hypothesis Test. Similar to Kolmogorov-Smirnov (K-S) test, but (K-S) test tend to be most sensitive around median value of the distribution and less sensitive at the distribution tails.Doesn't require any Toolbox.Find if the random sample X could have the... Platforms: Matlab

The phase generated by the pseudo-random sequence in the transmitter is used to encode the data stream is unknown.A parallel search strategy is employed to locally determine it in the place. It selects the maximam-energy low-pass filtered signal of the set of all hypothesied despreaded ones using... Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

Matlab implementation of a monodomain reaction-diffusion model in 2-D. The model equations are a variant of the Fitzhugh-Nagumo equations modified to simulate the cardiac action potential. The progression of the two normalized state variables, membrane voltage (v) and recovery (r), is computed... Platforms: Matlab

MOTIFINFO = GIBBSMOTIFSAMPLER(SEQARRAY,MOTIFVECTOR,ALPHABET,OPTIONS) Searches for the motifs in a set of sequences via Gibbs sampling. seqArray is a cell vector of sequence strings. motifVector is a vector of uniformly-spaced motif widths you wish to optimize. The program iterates over these... Platforms: Matlab

This m-file deals with the iterated principal factor method (principal axis factoring) thru the complete data matrix, the latent root criterion, iteration convergence criterion, and uses the varimax factor rotation. It works with an iterative solution for communalities and factor loadings. At... Platforms: Matlab

This m-file deals with the principal component solution of the factor model thru the complete data matrix, the latent root criterion, and uses the varimax factor rotation. Optionally, it also gives the residual matrix, which results of the difference between the original correlation and the... Platforms: Matlab

Sample size required in tests concerning the variance, employing the Chi-square distribution and solved by iterative fashion (directed trial and error). This means that we enter an initial value for n in order to obtain a better estimate. It only needs the sample variance, expected (hypothesized)... Platforms: Matlab

This m-file provides a statistical test that gives information on the form of the model under consideration. A significant lack-of-fit suggest that there may be some systematic variation unaccounted for in the hypothesized model (chosen model does not well describe the data). It arises when there... Platforms: Matlab

This m-file deals with the iterated principal factor method (principal axis factoring) thru the R-correlation matrix (without the matrix of data), the latent root criterion, iteration convergence criterion, and uses the varimax factor rotation. It works with an iterative solution for... Platforms: Matlab