Data Sequences; Data Blocks; Data Segments - HP 81200 User Manual

Data generator/analyzer platform
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Introduction to the System
38

Data Sequences

A sequence specifies which data segments are generated or expected, on
which ports and in which timely order.
A sequence consists of blocks. Loops are also part of a sequence.
Sequences are independent of data. This is achieved by defining data in the
Segment Editor or externally as vectors in a text file and using these
segments in the Sequence Editor.

Data Blocks

Blocks are portions of the sequence. Single, several or all blocks may be
repeated a specified number of times. Blocks span across all data ports.
Each block can hold segments for each port with patterns of generated
and expected data.
Trigger pulses can be specified to be generated at the beginning of a block
and output by the clock module. If certain events have been detected while
a block is executed, actions can be taken immediately or at the end of the
block.
The length of a block must be a multiple of the blocklength granularity .
Loops have an impact on the minimal blocklength and the allowed number
of blocks (see "Hardware Dependencies" on page 41).

Data Segments

Segments can be freely created. A segment has a width and a length. The
width defines the number of parallel signal lines (traces). The length
defines the number of data words (vectors).
Segments can also be created within or imported into a sequence. In this
case, the width of the chosen port and the length of the chosen block are
automatically considered. Data that does not fit into the current block is
ignored.
There are real segments and pseudo segments.
• Real segments contain either free programmable memorized data, or the
specification of PRBS or PRWS data.
• Pseudo segments are commands, such as Pause, Don't care, Expect 0,
Acquire, and so on. Pseudo segments can save channel memory.
New segments are created with the Segment Editor or can be imported
from vector-formatted text files.
HP 81200 Data Generator/Analyzer Platform User Guide, Revision 2.1
Data Generation Principles

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