Tektronix - DG2030 - Generator
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DG2030
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The
DG2030 is a digital data generator designed for high performance and ease of use. The
DG2030 is easy to use for testing and evaluating semiconductors and logic circuits, which are continually becoming faster and more complex.
The
DG2030 provides, in a compact package, high performance and a wide
range of functions. Features include a maximum data rate of 400 MHz, a 256 K word pattern memory, 4 channels (with support for up to 8 channels by adding option), a 1 ns timing skew adjustment function, and variable output levels (from –1.5 to +3.50 V).
Any memory size from 90 words to 256 K words can be used easily, with no
restrictions within that range. The
DG2030 also provides a 4K-step sequence
controller, which enables the generation of not only a data pattern longer than the pattern memory but also the dynamic change of the pattern due to the external events.
The
DG2030 provides flexible data editing functions, including word and line
unit input and extended data creation functions. Furthermore, the DG2030
provides a rich set of functions required for system construction, such as a
sequencing function, a jump function using external input, and an inhibit
function.
Features
The
DG2030 supports smooth and rapid product development by simulating
the digital signals from incomplete sections of a product.
Logic function test systems can be constructed by combining this instrument
with a logic analyzer.
Margin tests can be easily performed by using this instrument to generate
patterns that have a low probability of occurrence or are difficult to generate.
This can increase end-product reliability.
Interactive digital simulation systems can be constructed using the sequence
output, external jump, and tristate control functions.
Flexible data output functions make the
DG2030 an ideal data generator for
simulation of LCD display units, CCD line and area sensors, and all types of
digital circuits.
Reparaturanleitung
Dokumenttyp:
Reparaturanleitung
Seitenanzahl:
186
Größe:
2,2 MB
Sprache:
Englisch
Revision:
Dokument-ID:
071-0058-50
Datum:
Qualität:
Elektronisches Dokument, kein Scan, sehr gut lesbar.
Upload Datum:
22. September 2019
MD5:
dd26d1df-07b8-caa1-95cf-b7432073b805
Downloads:
159