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DFP2 Digital Filter Package

Example
of a high pass filter, used to block power supply hum (60
Hz-frequency component) from a higher frequency signal. The
cutoff frequency is set to 1 kHz with a narrow transition
region of 1% (very steep). Channel 2 displays the unfiltered
signal, while B shows the filtered result. The FFT analysis of
the signal before and after the filtration is displayed by
traces A and C. Notice the disappearance of the 60 Hz
component.
Leading
Features
Low
Pass
High Pass
Band Pass
Band Stop
Raised Cosine
Raised Root Cosine
Gaussian
User Designed
FIR
filters are all Butterworth type
3dB
frequency/width
Center Frequency
Rolloff/decade
Corner Frequency (Cosine Beta)
Corner Frequency (Gaussian Beta)
Low
Frequency Cutoff
High Frequency Cutoff
Transition Width
Stop Band Attenuation
Pass Band Ripple
Number of Taps
| Advanced
Math Package |
(XMATH) |
| Disk
Drive Measurements |
(DDM2) |
| Jitter
and Timing Analysis |
(JTA2) |
| Serial
Mask Package |
(SDM) |
LeCroy’s
Digital Filter Package (DFP2) implements a set of linear-phase
Finite Impulse Response (FIR) filters and IIR filters. It
enhances your ability to examine important signal components
by filtering out undesired spectral components such as noise.
With the custom design feature, you can reconstruct corrupted
signals by applying matched (mirror) filters to compensate for
known distortions.
DFP2
eliminates the need to transfer acquired data to a PC for
analysis. It can be used for circuit design: you can view the
effects of different filters on your data before implementing
the actual filters into your designs. If more complex filters
are desired, filters can be cascaded, or new, custom-designed
filters can be defined.
Custom
filters can be designed and the coefficients loaded into the
scope using a spreadsheet. |
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Applications
The DFP2 option has a broad range of applications:
System
Identification
- Telephone
channel identification
- Modem
echo cancellation
Prediction
- CDMA
interference
- Adaptive
CDMA receiver
- Spectral
whitening
Noise
Cancellation
- ECG
noise control
- Background
noise
Low-pass
filters eliminate
the accumulated high-frequency noise and interference,
canceling high-frequency background noise.
- Sample
applications include datacom, telecom, disk drive, and
optical recording analysis, for an accurate RF signal
detection.
Band stop
filters eliminate
a narrow band of frequencies.
- Sample
applications include medical equipment such as ECG
monitors, where the dominant ripple at 50/60Hz is
rejected, leaving the low-energy biological signals
intact.
- For
digital troubleshooting, the inherent frequency of the
switched power supply is blocked, revealing power lines
voltage drop and glitches caused by the system clock
oscillator.
Band pass
filters emphasize
a selected frequency band.
- Sample
applications include radio channel identification,
broadband transmission, ADSL, and clock generators
(eliminating the central frequency, displaying harmonics
only), and telecom (jitter measurement over a selected
frequency range).
High pass
filters are
useful for eliminating DC and low-frequency components.
- Some
applications include disk drive and optical recording
(emulation of the slicing function).
Raised
cosine, raised root cosine, and Gaussian filters
are low pass filters with unique shapes.
- Raised
cosine is one of a class of filters used to minimize
intersymbol interference. The time domain impulse response
crosses zero at all multiples greater than one of the bit
period. Harmonies of the modulation frequencies are
therefore canceled.
- Applying
raised root cosine twice (or, for example, at the sending
and receiving end of a signal) produces the same result as
a raised cosine filter.
- Applications
include wireless cellular communications such as WCDMA,
datacom, telecom, disk drive, and optical drive analysis.
The
custom-designed filter feature lets you design filters with
virtually any desired characteristics. Typical applications
may include areas such as matched (or mirror) filters and
modem echo cancellation.
The required
custom filter can be designed with a digital filter design or
math package such as MATLAB®
or Mathcad®.
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