Sandi2000
Junior Member level 2
The LS error methods use an error criterion that is related to the energy of
the signal or noise.
The design problem is posed by defining an error measure E as a sum (or integral) of the
squared differences between the actual and the desired frequency response over a
set of L frequency samples. This error function is defined as
One of the most effective modifications of the direct LS error design methods is
to change the bands of frequencies over which the minimization is carried out.
(from the book : Digital Filter Design - Parks and Burrus).
The question : how the LS error design methods is to change the bands of frequencies ?
the signal or noise.
The design problem is posed by defining an error measure E as a sum (or integral) of the
squared differences between the actual and the desired frequency response over a
set of L frequency samples. This error function is defined as
Code:
E=\sum_{n = 0}^{L-1}|(H(\omega)-H(\omega)_d|^2
One of the most effective modifications of the direct LS error design methods is
to change the bands of frequencies over which the minimization is carried out.
(from the book : Digital Filter Design - Parks and Burrus).
The question : how the LS error design methods is to change the bands of frequencies ?
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