Text - KFUPM - King Fahd University of Petroleum and Minerals
Text - KFUPM - King Fahd University of Petroleum and Minerals
Text - KFUPM - King Fahd University of Petroleum and Minerals
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In Selective Low Care (SLC) scheme [87], the linear dependencies <strong>of</strong> the internal<br />
scan chains are explored, <strong>and</strong> instead <strong>of</strong> encoding all the specified bits in test cubes,<br />
only a smaller amount <strong>of</strong> specified bits are selected for encoding. It employs a Fanout<br />
Compression Scan Architecture (FCSCAN) [88], the basic idea <strong>of</strong> which is to<br />
target the minority specified bits (either a 1 or 0) in scan slices for compression.<br />
A compression scheme using reconfigurable linear decompressor has been proposed<br />
[89]. A symbolic Gaussian elimination method to solve a constrained Boolean<br />
matrix is proposed <strong>and</strong> utilized for designing the reconfigurable network. The proposed<br />
scheme can be implemented in conjunction with any decompressor that has<br />
a combinational linear network. In a scheme based on periodically alterable MUXs<br />
[90], MUXs-based decompressor has multiple configurations to decode the input<br />
information. The connection relations between the external scan-in pins <strong>and</strong> the<br />
internal scan chains can be altered periodically. The periodic reconfiguration <strong>of</strong> the<br />
mapping between the scan-in pins <strong>and</strong> the internal scan chains is done by changing<br />
the control signals <strong>of</strong> the MUXs decompressor. Only a single input is required to<br />
change the configurations. The scheme uses tailored ATPG along with a two-pass<br />
patterns compaction. The scheme proposed in this work also uses idea <strong>of</strong> configurations<br />
<strong>of</strong> MUXs to decompress groups <strong>of</strong> scan chains.<br />
Schemes utilizing arithmetic structures include a reconfigurable serial multiplier<br />
based scheme [91] in which test vectors are stored on the tester in a compressed<br />
format by expressing each test vector as a product <strong>of</strong> two numbers. While performing<br />
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