arburg This function calculates coefficients of an autoregressive (AR) model of complex data. a = arburg(x, poles) a = arburg(x, poles, criterion) [a, v] = arburg(...) [a, v, k] = arburg(...) x: vector of real or complex numbers, of length > 2 poles: positive integer value < length(x) - 2 criterion: string value, takes in "AKICc", "KIC", "AICc", "AIC" and "FPE", default it not using a model-selection criterion a: list of autoregression coefficients. v: mean square of residual noise from the whitening operation of the Burg lattice filter k: reflection coefficients defining the lattice-filter embodiment of the model This function calculates coefficients of an autoregressive (AR) model of complex data x using the whitening lattice-filter method of Burg. The first argument is the data sampled. The second argument is the number of poles in the model (or limit in case a criterion is supplied). The third parameter takes in the criterion to limit the number of poles. The acceptable values are "AIC", "AKICc", "KIC", "AICc" which are based on information theory.