MATLAB SIGNAL PROCESSING TOOLBOX 6 Instrukcja Użytkownika Pobierz pdf (Strona 56)

4 Filter Design with the FDATool GUI

4-18

F = fvtool(Hd,'Analysis','magnitude') % Open FVTool with

% magnitude display

set(F,'FrequencyScale','Log') % Change to log scale

This produces the same display as step 5 of “Viewing the Filter in FVTool” on page

4-10 above.

Now using the MATLAB command line, create some discrete white Gaussian noise

data, which you can then filter using the filter bank.

rand; % Initialize random number generator

Nx = 100000; % Number of noise data points

xw = randn(Nx,1); % Create white noise

for i=1:10,

yw(:,i)=filter(Hd(i),xw); % Filter the white noise through

end % the entire filter bank.

% (:,i) means all rows of column i

Plot the filtered data.

plot(yw)

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MATLAB SIGNAL PROCESSING TOOLBOX 6 Instrukcja Użytkownika Strona 56