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Code Listing by Atul Ingle

Code 1-3 of 3   






Removes nonlinear trend from data
DETRENDNONLIN Removes non-linear trend from a vector.
The nonlinearity is removed by subtracting a least-squares
polynomial fit.
Y = DETRENDNONLIN(X) subtracts a second order polynomial fit from
the data vector X.
Y = DETRENDNONLIN(X, n) subtracts a polynomial fit of order n from
the data vector X.
Note: This function may throw errors generated in the function call to



This function takes two integer valued arguments and returns 1 if they are equal and 0 otherwise. The computation is done symbolically so the result is not actually returned as a number but as a symbolic expression for substituting symbolic values...



Autocorrelation of a vector of symbolic variables
SYM_AUTOCORR Autocorrelation of a symbolic vector
[V, VCORR] = SYM_AUTOCORR(SEQLEN), where SEQLEN>=1 is the length of the
sequence whose autocorrelation is to be calculated. V is...