how to use aditional mean value in FFT matlab????please help

[program2]

Help please!!!!
i have sinwave with 0.1 v amplitude and 1khz frequency mixed with 5v white noise.
i used FFT in Matlab to simulate.

1-(Study the use of additional mean value calculation of every data set of FFT spectrum and how it affects the visibility of a present signal.). so, how can i use additional mean value???????????

2-Which window is the best for detecting weak signals in a noisy background?
i used some of windows but all are not useful!!!!!

Matlab code :

f1=1000; % Signal frequency
fs=5000; % Sampling frequency
N=128; % Number of samples
N1=2048; % Number of FFT points
p=128; % Define Number of samples noise
n=0:N-1; % Index n
f=(0:N1-1)*fs/N1; % Defining the frequency points [axis]
noise=rand(1,p); % Generate Uniformly Random Numbers
x=0.1*sin(2*pi*f1*n/fs)+5*noise; % Generate the signal
XR=abs(fft(x,N1)); % find the magnitude of the FFT using No
% windowing (i.e. Rectangular window)
xh=hamming(N); % Define the hamming samples
xw1=x .* xh'; % Window the signal
XH=abs(fft(xw1,N1)); % find the magnitude of the FFT of the
% windowed signal.
xha=hanning(N); % Define the hanning samples
xw2=x .* xha'; % Window the signal
XHA=abs(fft(xw2,N1)); % find the magnitude of the FFT of the
% windowed signal.
xbl=blackman(N); % Define the blackman samples
xw3=x .* xbl'; % Window the signal
XBL=abs(fft(xw3,N1)); % find the magnitude of the FFT of the
% windowed signal.
xba=bartlett(N); % Define the bartlett samples
xw4=x .* xba'; % Window the signal
XBA=abs(fft(xw4,N1)); % find the magnitude of the FFT of the
% windowed signal.
subplot(3,2,1); % Start plotting the signal
plot(f(1:N1/2),20*log10(XR(1:N1/2)/max(XR)));
title('Spectrum of x(t) using Rectangular Windows');
grid;
xlabel('Frequency, Hz');
ylabel('Normalised Magnitude, [dB]');
subplot(3,2,2);
plot(f(1:N1/2),20*log10(XH(1:N1/2)/max(XH)));
title('Spectrum of x(t) using Hamming Windows');
grid;
xlabel('Frequency, Hz');
ylabel('Normalised Magnitude, [dB]');
subplot(3,2,3);
plot(f(1:N1/2),20*log10(XHA(1:N1/2)/max(XHA)));
title('Spectrum of x(t) using Hanning Windows');
grid;
xlabel('Frequency, Hz');
ylabel('Normalised Magnitude, [dB]');
subplot(3,2,4); % Start plotting the signal
plot(f(1:N1/2),20*log10(XBL(1:N1/2)/max(XBL)));
title('Spectrum of x(t) using Blackman Windows');
grid;
xlabel('Frequency, Hz');
ylabel('Normalised Magnitude, [dB]');
subplot(3,2,5); % Start plotting the signal
plot(f(1:N1/2),20*log10(XBA(1:N1/2)/max(XBA)));
title('Spectrum of x(t) using Bartlett Windows');
grid;
xlabel('Frequency, Hz');
ylabel('Normalised Magnitude, [dB]');


any explain please!!!!