selecting window of length 256 for every 200 samples out of 108000 samples and find DWT coefficients for each separate windowed samples.

Hi! i am supposed to slide a window of length 256 on every 200 samples sequentially and then find DWT coefficients for each window. Like if i consider my window on 1-10th elements and calculate approximate and detail coefficients, then next i should consider 11-20th elements and perform the same till the last. here is my code i have done so far. but not getting properly how i am trying to get. Please, help?

clc;
data= importdata('215_5.txt');
x = data(:, 1);
y = data(:, 2);
plot(x, y, 'b-', 'LineWidth', 2);
N= length(y);
FreqS=360;  %sampling frequency
nyqfreq=FreqS/2;  %nyquist frequency
fft_signal= abs(fft(y));
figure(1); %plot single sided magnitude spectrum
x1=0:1/(N/2-1):1;
y1=fft_signal(1:N/2);
p1=line(x1,y1);
grid on;
ax1=gca; %current axis
axis([0 1 0 1]);
xlabel('Normalised frequency[\pi rads/sample]');
ylabel('magnitude');
fc=70;
fs=1000;
[b, a]= butter(4,fc/(fs/2));
H= freqz(b,a,N/2);
hold on;
x2=linspace(0,nyqfreq,100);
y2=abs(H);
ax1_pos = ax1.Position;
ax2 = axes('Position',ax1_pos,'XAxisLocation','top','YAxisLocation','right','Color','none');
ax2.XLabel.String = 'Frequency [Hz]';
title('Magnitude spectrum of signal and frequency response of filter');
x_filtered = filter(b,a,y);
hold off;
[Xa,Ya]= alignsignals(y,x_filtered);

%%wavelet decomposition
T=256; %window size
m=numel(x_filtered);
for j= 1:200;
for i=0:m-T;
   z=j(1+i:T+i);

[c,l]= wavedec(z,5,'db6');
approx= appcoef(c,l,'db6');
[cD1,cD2,cD3,cD4,cD5]= detcoef(c,l,[1,2,3,4,5]);

end
end
%%plot coefficients
subplot(6,1,1)
plot(approx)
title('Approximation Coefficients')
subplot(6,1,2)
plot(cD5)
title('level 5 detail coefficients')
subplot(6,1,3)
plot(cD4)
title('level 4 detail coefficients')
subplot(6,1,4)
plot(cD3)
title('level 3 detail coefficients')
subplot(6,1,5)
plot(cD2)
title('level 2 detail coefficients')
subplot(6,1,6)
plot(cD1)
title('level 1 detail coefficients')