Somha, Worawit

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Somha, Worawit
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worawit.so@kmitl.ac.th

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    A noise suppressing filter design for reducing deconvolution error of both-directions downward sloped asymmeric RTN long-tail distributions
    (2016-04-19)
    Yamauchi, Hiroyuki
    ;
    Somha, Worawit
    A noise suppressing filter design technique to reduce deconvolution error of both-directions downward sloped asymmetrical long-tail distribution of the Random Telegraph Noise (RTN) is proposed. The filter is used in Lucy-Richardson-deconvolution (LRDec) iteration process. The deconvolution is required for inversely analyzing RTN long tail distribution effects on VLSI time-dependent operating margin. The proposed noise suppressing filters avoid unwanted phase misalignment between the distribution curves of feedback gain and deconvolution target for right and left tails. This results in reduction of its relative deconvolution errors by about 12-fold compared with the conventional LRDec. The accuracy of the fail-bit-count (FBC) prediction is increased by about 100-fold.
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    A filter design to increase accuracy of Lucy-Richardson deconvolution for analyzing RTN mixtures effects on VLSI reliability margin
    (2016-02-12)
    Yamauchi, Hiroyuki
    ;
    Somha, Worawit
    ;
    Song, Yuan Qiang
    A filter design to improve convergence characteristics in the Lucy-Richardson-deconvolution (LRDec) iterations is proposed, which is required for inversely analyzing log-mixtures 7-segmented Random Telegraph Noise (RTN) distribution effects on VLSI reliability margin. The proposed filter alleviates unwanted phase misalignment between the two distribution curves of feedback gain and deconvoluted RTN. This contributes to reduce its relative deconvolution errors by 1.5-orders of magnitude compared with the conventional LRDec. The accuracy of the fail-bit-count (FBC) prediction is increased by 10-folds while accelerating its convergence speed by 7 times of the conventional one. This contributes not to give up on a benefit of smaller iteration cycles from LRDec.
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    A parallel filter technique to stabilize error-rectification behavior in RDF deconvolution process for SRAM screening test
    (2016-08-29)
    Yamauchi, Hiroyuki
    ;
    Somha, Worawit
    This paper proposes a parallel filter design technique for stabilizing the error rectification process in the iterative Lucy-Richardson (LR) deconvolution. The proposed filter is designed to adequately decouple the variation factors caused by the Random Dopant Fluctuation (RDF) from the complexly coupled SRAM margin variations. This allows to enjoy the benefits of the LR algorithm while avoiding the inherent pitfall or ringing behaviors even in the RDF deconvolution. The ringing elimination with the proposed filter contributes to suppress the relative errors to 7-orders of magnitude smaller than that for the conventional single filter. When compared with the conventional single filter at the number of iteration cycles of 30, a 100-fold larger error reduction is achieved.
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    A mutual rectification-interference avoidance technique with cascade filters for both downward-direction tailed-RDF deconvolution
    (2016-10-27)
    Yamauchi, Hiroyuki
    ;
    Somha, Worawit
    This paper proposes a cascade filter design technique to avoid mutual interference in the error rectification process of the Lucy-Richardson (LR) deconvolution. The deconvolution is designed to adequately retrieve the variation factors caused by the Random Dopant Fluctuation (RDF) from the complexly coupled SRAM margin variations. The proposed filter avoids the mutual interferences between the two rectification processes for the both downward-direction-tails of the RDF caused margin distribution. The proposed filter contributes to suppress the relative errors to 7-orders of magnitude smaller than that for the conventional single filter. A 400-fold larger error reduction and a 5-times faster speed of the error reduction are achieved compared with the parallel filter.