The arburg function reference is currently:
RETURNED VALUES:
a %% [polynomial/vector] list of (P+1) autoregression coeffic-
%% ients; for data input x(n) and white noise e(n),
%% the model is
%% P+1
%% x(n) = sqrt(v).e(n) + SUM a(k).x(n-k)
%% k=1
I think it should be:
RETURNED VALUES:
a %% [polynomial/vector] list of (P+1) autoregression coeffic-
%% ients; for data input x(n) and white noise e(n),
%% the model is
%% P+1
%% x(n) + SUM a(k).x(n-k+1) = sqrt(v).e(n)
%% k=2
or, if you prefer in terms of x(n):
%% P+1
%% x(n) = sqrt(v).e(n) - SUM a(k).x(n-k+1)
%% k=2
------------------------------------------------------------------------------
Benefiting from Server Virtualization: Beyond Initial Workload
Consolidation -- Increasing the use of server virtualization is a top
priority.Virtualization can reduce costs, simplify management, and improve
application availability and disaster protection. Learn more about boosting
the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev
_______________________________________________
Octave-dev mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/octave-dev