A noise suppressing filter design for reducing deconvolution error of both-directions downward sloped asymmeric RTN long-tail distributions

Abstract

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.