Adaptive Noise Cancellation Using RLS Adaptive Filtering

Hello, I have some problems dealing with Adaptive Noise Cancellation Using RLS Adaptive Filtering. In particular I want to cancel a noise from my signal.

I have: 1) the observed signal = information bearing sign + noise; 2) a reference of the noise.

I would like to compute the adaptive filtering as descripted here: http://www.mathworks.nl/help/dsp/examples/adaptive-noise-cancellation-using-rls-adaptive-filtering.html

My question: looking at the last part of the code, ' Running the RLS filter':

% Hadapt = adaptfilt.rls(M,lam,P0,w0,Zi);
% Hadapt.PersistentMemory = true;
Hts = dsp.TimeScope('TimeSpan',1000,'YLimits',[-2,2]);
for k = 1:10
    n = step(Hn); % Noise
    s = step(Hs);
    d = step(Hd,n) + s;
    [y,e]  = step(Hadapt,n,d);
    step(Hts,[s,e]);
end

Where Hs is:

Hs = dsp.SignalSource(signal,'SamplesPerFrame',100,...
    'SignalEndAction','Cyclic repetition');

The variable 'signal' contains the information bearing signal.

I cannot understand why should I use the Hs in the filtering, while I have no informations about the information bearing signal! I only have: 1) observed signal = information bearing sign + noise; 2) reference of noise.

Thank you!

[giusep]

Nobody?