Tektronix - TLA7AAx - Logic Analysator
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TLA7AAx
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The TLA7Axx series logic analyzer modules are designed as part of the
Tektronix Logic Analyzer Family for use in the TLA700 series logic analyzer
mainframes. The logic analyzer module is used as a test and measurement tool for high-speed digital timing and state acquisition across several channels with deep acquisition memory.
Some of the key features of the logic analyzer modules include the following:
Up to 128 data channels and 8 stored clock or qualifier channels per module
Ability to merge five modules to provide up to 680 data channels with full
clocking and triggering capabilities across all modules
Software configurable channels, memory depth, and user synchronous speed
(PowerFlex)
Data correlation with other Tektronix logic analyzer modules in a TLA
mainframe
Enhanced clocking to minimize skew between the data bus and the system
clock
Four analog output connectors that send the analog signal of any channel to
an oscilloscope or other modules without requiring additional probe
connections
The logic analyzer acquires data from the target systems through the P68xx
series logic analyzer probes. The following probes are supported:
P6810 General Purpose Logic Analyzer Probes with flying lead sets. These
probes are designed for most general purpose logic analyzer applications.
P686x High-Density Logic Analyzer Probes. These probes feature a
connectorless system that connect directly to the target system; no adaptors
or connectors are required.
P6880 High Density Differential Logic Analyzer Probes. These probes also
feature a connectorless system for differential signals.
2 Handbücher
Reparaturanleitung
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Reparaturanleitung
Seitenanzahl:
172
Größe:
5,1 MB
Sprache:
Englisch
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Dokument-ID:
071-1043-01
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Elektronisches Dokument, kein Scan, sehr gut lesbar.
Upload Datum:
23. September 2019
MD5:
817f8d08-b4d9-f845-38cd-6f358b2b6252
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Reparaturanleitung
Dokumenttyp:
Reparaturanleitung
Seitenanzahl:
114
Größe:
3,6 MB
Sprache:
Englisch
Revision:
Dokument-ID:
071-1511--00
Datum:
Qualität:
Elektronisches Dokument, kein Scan, sehr gut lesbar.
Upload Datum:
29. September 2019
MD5:
d7fd75ef-714e-48e8-ae3a-0547bf475310
Downloads:
568