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Digital Filter Package 2 and Teledyne LeCroy are registered trademarks of Teledyne LeCroy, Inc. Windows is a registered
trademark of Microsoft Corporation. Other product or brand names are trademarks or requested trademarks of their
respective holders. Information in this publication supersedes all earlier versions. Specifications are subject to change
without notice.
In today's complex environment, data is frequently composed of a mixture of analog and digital
components spread over a broad range of frequencies. In many applications, the relevant data is
encoded or obscured. Capturing the right signals becomes a challenge. Engineers find it
increasingly difficulty to examine only those parts of the data they are interested in. Tradition al (or
even smart) oscilloscope triggering cannot always provide a satisfactory answer.
For example, servo motors from disk drives add a low frequency component to the high
frequency data output. It is hard to achieve an accurate analysis of data unless the low
component is removed.
Another common example is switched power supply units, which inject the switching frequency
component into many system parts. Viewing digital signals mixed with this switching frequency
component could be very difficult. Filtering is definitely required.
Yet another example is in ADSL residential connectivity, where data is transmitted over 256
narrow bands. Each band is only 4.7 kHz wide, and the gap between two adjacent bands is also
4.7 kHz. Examining such complex waveforms with regular DSOs is almost impossible; filtering out
unwanted frequency components is necessary.
The Solution
At present, these needs are addressed in two ways. One way is building analog filters and
placing them in front of the oscilloscope, providing an already filtered signal to the DSO. The
disadvantages of this approach are many. Analog filters depend heavily on the accuracy and
stability of analog components. Although in some cases analog filters are easily implemented,
they are quite impractical for low (< 100 Hz) or high (> 100 MHz) frequency ranges. In
comparison, digital filters can provide the desired results in those cases.
The second approach, practiced by many engineers, is using the DSO as a digitize r. The digitized
data output is then transferred to a PC for processing. This solution freque ntly provides the
required results, but it might be too slow or too limited in flexibility for some applications.
With Digital Filter Package 2 (DFP2), Teledyne LeCroy provides a solution that combines the
best of both worlds. This package includes seven of the most useful finite impulse response
filters (FIR), in addition
(IIR) filter types (Butterworth, Chebyshev, Inverse Chebyshev, Bessel). You can easily set the
Cutoff Frequency in addition to the Stop Band Attenuation and Pass Band Ripple for each filter.
It is even possible to use single filters or multiple filters cascaded for even more complex filtering.
Once filtered, waveforms include mostly relevant frequency components, undesired parts being
greatly attenuated.
If you want filters with special characteristics, the custom design feature allows you to design
unique filters tailored to your specific needs. The required filter can be designed with a digital filter
923134 Rev A ISSUED: June 20133
to a custom design feature. It also includes four infinite impulse response
gn or with a math package such as MATLAB or Mathcad. Filter coefficients can be directly
desi
downloaded from the program into the scope, using the DSOFilter utility. It is also possible to
specify the filter coefficients on an Excel spreadsheet and to use DSOFilter to download them
from the spreadsheet to the scope.
DFP2's flexibility is shown by the following example:
1. A 25 kHz square
with an unwanted 60 Hz sinusoidal
component.
2. A high-pass filter set to attenuate
signals lower than 1 kHz is applied
to remove the unwanted 60 Hz
component.
3. FFT of the unfiltered trace.
4. FFT of the filtered trace. Note the
absence of the 60 Hz component.
wave combined
Enhanced Solutions
DFP2 can be coupled with other Teledyne LeCroy software products such as JTA2 or DDM2 to
enhance the capabilities of these products and to provide improved solutions. For Jitter
Measurement, for example, the DFP2 Band-pass Filter can be coupled with the JTA2 package to
measure jitter over a narrow frequency range.
4 ISSUED: June 2013923134 Rev A
DFP2 Option
Kinds of Filters
Low-pass Filter
High-pass Filter
1
Low-p
ass filters are useful for eliminating accumulated
high-frequency noise and interference, and for
canceling high-frequency background noise.
Sample applications are in datacom,
telecommunications, and disk drive and optical
recording analysis for accurate RF signal detection.
Band 1: Pass Band — DC to top of the transition
region; signal passes unattenuated.
Band 2: Transition Region — edge frequency to edge
frequency plus width; increasing attenuation.
Band 3: Stop Band — above end of transition region;
signal is highly attenuated.
-pass filters are useful for eliminating DC and low-
High
frequency components. Sample applications include
Disk Drive and Optical Recording analysis (emulation
of the SLICING function).
Band 1: Stop Band — DC to bottom of the transition
region; highly attenuated.
Band 2: Transition Region — edge frequency minus
width to edge frequency; decreasing attenuation.
Band 3: Pass Band — above edge frequency; signal
passes unattenuated.
1
1. Filters are optimal FIR filters of less than 2001 taps, according to the Parks-MacLellan algorithm described in Digital
Filter Design and Implementation by Parks and Burrus, John Wiley & Sons, Inc., 1987, and then adjusted by windowing
the start and end 20% with a raised cosine for improved time domain characteristics and better ultimate rejection in the
frequency domain, slightly increasing 1
923134 Rev A ISSUED: June 20135
st
stop-band ripple height.
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