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FDATool provides a simple way to create filter objects (dfilts) from your filter designs. This is particularly useful for saving your filter design to the MATLAB workspace for use with command line functions. You can also save your filters to M-files using File > Generate M-file to run in scripts or batch files.
In FDATool, click Filter Manager and highlight only the Bandpass Butterworth-1 filter.
Set Export to to Workspace. Set Export as to Objects. In Discrete Filter type Hd1. Click Export to export the first filter in your filter bank to an Hd1 dfilt object in the workspace.

Repeat steps 1 through 3 for each of the remaining nine filters. Highlight each filter individually to make it the active filter and change the Discrete Filter name to match the filter number. When you finish you will have 10 dfilt objects in the workspace.
Close FDATool by selecting File > Close.
On the MATLAB command line, verify that your objects were exported by using the whos command.
whos Name Size Bytes Class Attributes Hd1 1x1 dfilt.df2sos Hd10 1x1 dfilt.df2sos Hd2 1x1 dfilt.df2sos Hd3 1x1 dfilt.df2sos Hd4 1x1 dfilt.df2sos Hd5 1x1 dfilt.df2sos Hd6 1x1 dfilt.df2sos Hd7 1x1 dfilt.df2sos Hd8 1x1 dfilt.df2sos Hd9 1x1 dfilt.df2sos
Type the following on the MATLAB command line to concatenate your filter bank filter objects into a single dfilt object.
Hd = [Hd1 Hd2 Hd3 Hd4 Hd5 Hd6 Hd7 Hd8 Hd9 Hd10];
To view the first filter, type Hd(1).
Hd(1)
ans =
FilterStructure: 'Direct-Form II, Second-Order Sections'
sosMatrix: [3x6 double]
ScaleValues: [3.40097054256801e-009;1;1;1]
PersistentMemory: false
A number of methods can be used to view and manipulate the Hd1 dfilt object. Try the info command:
info(Hd1) % Displays filter information Discrete-Time IIR Filter (real) ------------------------------- Filter Structure : Direct-Form II, Second-Order Sections Number of Sections : 3 Stable : Yes Linear Phase : No
You can open FVTool from the MATLAB command line and specify display parameters as follows.
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 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 iNote Do not delete this filtered data. You will use it in the Spectral Analysis section. |
plot(yw)

The next section discusses spectral analysis, where you analyze this data.
![]() | Viewing and Annotating the Filter | Designing Filters using Command Line Functions | ![]() |

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