Digital Signal Processing Reference
In-Depth Information
Step 5: Running the DSK and making measurements
•
Follow the steps shown in steps 1-3, to implement a digital bandstop
filter on the 'C6711 DSK. The bandstop filter should have a center
frequency of 1.5 kHz and bandwidth of 100 Hz.
•
Go to
Project
pull-down menu in the
CCS window
, and then select
Build
(or press the button with three red down arrows on the top
toolbar in the CCS window). A new subwindow will appear on the
bottom of the CCS window. When building is complete, you should
see the following message in the new subwindow:
Build Complete,
0 Errors, 0 Warnings, 0 Remarks
The following executable file will be created:
c:\ti\myprojects\filtering_twosignals\Debug
\filtering_twosignals.out
•
Click on the
Debug
pull-down menu and select
Reset CPU
.
•
Then, to load the program onto the DSK, click on the
File
pull-down
menu and select
Load Program
.
•
In the new window that appears, double click on the folder
Debug
,
select the
filtering_twosignals.out
file, and click on
Open
.
•
In CCS, select the
Debug
pull-down menu and then select
Run
, or
simply click on the top
running man
on the left side toolbar. You
should now see the filtered output with a predominant peak at 3 kHz
on the Signal Analyzer. However, there may be a small component
at 1.5 kHz,
hence measure the power level
(
dBm
)
at both 1.5 kHz and 3 kHz
.
Step 6: Design of DSK to extract signal with frequency of 2 KHz
Repeat the procedure in the step 2 and implement a bandstop filter centered
at 3 kHz and a bandwidth of 0.4 kHz. Observe the filtered output on the HP
35665A Dynamic Signal Analyzer, and check that there is a significant peak
at 1.5 KHz. However, measure the power level (dBm) at both 1.5 kHz and
3 kHz.
8.3
Filtering Application to Extract Sinusoidal Signal
from a Noisy Signal
Exercise 2: This noisy signal filtering application consists of a series of five
steps. Follow the instructions carefully to complete the experiment.
All communications systems face the common problem of noise, in greater
or lesser measure. As shown in
Figure 8.3
,
the simplest form of noise is
