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D.K. Pradhan, S.K. Gupta, M.G. Karpovsky, "Aliasing Probability for Multiple Input Signature Analyzer," IEEE Transactions on Computers, vol. 39, no. 4, pp. 586591, April, 1990.  
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@article{ 10.1109/12.54855, author = {D.K. Pradhan and S.K. Gupta and M.G. Karpovsky}, title = {Aliasing Probability for Multiple Input Signature Analyzer}, journal ={IEEE Transactions on Computers}, volume = {39}, number = {4}, issn = {00189340}, year = {1990}, pages = {586591}, doi = {http://doi.ieeecomputersociety.org/10.1109/12.54855}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  JOUR JO  IEEE Transactions on Computers TI  Aliasing Probability for Multiple Input Signature Analyzer IS  4 SN  00189340 SP586 EP591 EPD  586591 A1  D.K. Pradhan, A1  S.K. Gupta, A1  M.G. Karpovsky, PY  1990 KW  multiple input signature analyzer; multipleinputsignatureregister; aliasing probability expressions; arbitrary test lengths; algebraic codes; test response compressors; closedform expressions; error model; qary symmetric channel; weight distributions; compression technique; logic analysers. VL  39 JA  IEEE Transactions on Computers ER   
Single and multiple multipleinputsignatureregister (MISR) aliasing probability expressions are presented for arbitrary test lengths. A framework, based on algebraic codes, is developed for the analysis and synthesis of MISRbased test response compressors for BIST. This framework is used to develop closedform expressions for the aliasing probability of MISR for arbitrary test length. An error model, based on qary symmetric channel, is proposed using more realistic assumptions. Results are presented that provide the weight distributions for qary codes (q=2/sup m/, where the circuit under test has m outputs). These results are used to compute the aliasing probability for the MISR compression technique for arbitrary test lengths. This result is extended to compression using two different MISRs. It is shown that significant improvements can be obtained by using two signature analyzers instead of one. The weight distribution of a class of codes of arbitrary length is also given.
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