Title
Error-Resilient Test Data Compression Using Tunstall Codes
Abstract
This paper presents a novel technique for achieving error-resilience to bit-flips in compressed test data streams.Error-resilience is related to the capability of a test data stream (or sequence) to tolerate bit-flips which may occur in an Automatic Test Equipment (ATE), eitherin the electronics components of the loadboard or in the high speed serial communication links between the user interface workstation and the head.Initially, it will be shown that errors caused by bit-flips can seriously degrade test quality (as measured by the coverage), such degradation is very significant for variable codeword techniques such as Huffman coding.To address this issue a variable-to-constant compression technique (namely Tunstall coding) is proposed.Using Tunstall coding and bit-padding to preserve vector boundaries, an error-resilient compression technique is proposed.This technique requires a simple algorithm for compression and its hardware for decompression is very small, while achieving a much higher error-resilience against bit-flips compared with previous techniques (albeit at a small reduction in compression).Simulation results on benchmark circuits are provided to substantiate the validity of this approach in an ATE environment.
Year
DOI
Venue
2004
10.1109/DFTVS.2004.1347855
DFT
Keywords
Field
DocType
variable codeword technique,novel technique,variable-to-constant compression technique,degrade test quality,tunstall codes,huffman coding,error-resilient compression technique,tunstall coding,test data stream,error-resilient test data compression,ate environment,previous technique,user interface,simulation,data compression,electronic components,user interfaces,codes,hardware,error handling,test coverage,encoding,huffman codes,workstations,degradation,automatic test equipment
Code coverage,Tunstall coding,Data compression ratio,Automatic test equipment,Computer science,Electronic engineering,Real-time computing,Huffman coding,Test data,Test compression,Data compression
Conference
ISBN
Citations 
PageRank 
0-7695-2241-6
5
0.51
References 
Authors
7
3
Name
Order
Citations
PageRank
H. Hashempour112715.11
L. Schiano2538.35
F. Lombardi312215.25