Description: with Burg algorithm estimates AR model parameters, thereby realizing the power spectrum estimation.- Participation : x-- double-precision real one-dimensional arrays, length n, storage random sequence. N-- integer variables, random sequence length. P-- integer variables, AR model of order. A-- double-precision real one-dimensional arrays, length (p 10). AR storage coefficient of a model (0), a (1 ),..., a (p). V-- double precision real-pointer, it forecast errors at power, AR model that inspired the white noise variance.
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