文件名称:MARBURG
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Routine marburg: To estimate the AR parameters by Burg algorithm.
Input Parameters:
n : Number of data samples
ip : Order of autoregressive process
x : Array of complex data samples x(0) through x(n-1)
Output Parameters:
ep : Real variable representing driving noise variance
a : Array of complex AR parameters a(0) to a(ip)
ierror=0 : No error
=1 : ep<=0 .
ef : complex work array. ef[0] to ef[n-1]
eb : complex work array. eb[0] to eb[n-1]
in chapter 12
Input Parameters:
n : Number of data samples
ip : Order of autoregressive process
x : Array of complex data samples x(0) through x(n-1)
Output Parameters:
ep : Real variable representing driving noise variance
a : Array of complex AR parameters a(0) to a(ip)
ierror=0 : No error
=1 : ep<=0 .
ef : complex work array. ef[0] to ef[n-1]
eb : complex work array. eb[0] to eb[n-1]
in chapter 12
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