I found out that my step size keep varying around the initial step size 
that I set. Can I anyone please help?




>Currently I am trying to design an equalizer based on variable step size
>(VSS) NLMS algorithm. The adaptation of the step size is based on the
>instataneous squared error. The number of taps is 55. My initial step
size
>(which is also equivalent to max. step size allowable) is 0.6 and the
>minimum step size allowable is 0.35, with the "Alpha" = 0.97, "Gamma" =
>0.0005. I compare it to the conventional NLMS algorithm with the same
tap
>length and step size of 0.4 It is found that both algorithms achieve
>similar steady state error but the conventional NLMS algorithm still can
>achieve faster speed as compared to the VSS NLMS. What is the problem
>actually? Anything wrong with the setting of maximum step size, Alpha
and
>Gamma? Can anyone please help? Many thanks.
>

Richard_K wrote:
> Currently I am trying to design an equalizer based on variable step size
> (VSS) NLMS algorithm. The adaptation of the step size is based on the
> instataneous squared error. The number of taps is 55. My initial step size
> (which is also equivalent to max. step size allowable) is 0.6 and the
> minimum step size allowable is 0.35, with the "Alpha" = 0.97, "Gamma" =
> 0.0005. I compare it to the conventional NLMS algorithm with the same tap
> length and step size of 0.4 It is found that both algorithms achieve
> similar steady state error but the conventional NLMS algorithm still can
> achieve faster speed as compared to the VSS NLMS. What is the problem
> actually? Anything wrong with the setting of maximum step size, Alpha and
> Gamma? 

Those are the wrong questions. The right questions are what has to be 
accomplished as the result and if and why VSS can help it.

Can anyone please help? Many thanks.

I was always wondering why peolpe are jerking Matlab instead of reading 
  books.

VLV

Currently I am trying to design an equalizer based on variable step size
(VSS) NLMS algorithm. The adaptation of the step size is based on the
instataneous squared error. The number of taps is 55. My initial step size
(which is also equivalent to max. step size allowable) is 0.6 and the
minimum step size allowable is 0.35, with the "Alpha" = 0.97, "Gamma" =
0.0005. I compare it to the conventional NLMS algorithm with the same tap
length and step size of 0.4 It is found that both algorithms achieve
similar steady state error but the conventional NLMS algorithm still can
achieve faster speed as compared to the VSS NLMS. What is the problem
actually? Anything wrong with the setting of maximum step size, Alpha and
Gamma? Can anyone please help? Many thanks.