ASYMPTOTICALLY TIGHT MLD BOUNDS AND MINIMUM-VARIANCE IMPORTANCE SAMPLING ESTIMATOR FOR LINEAR BLOCK CODES OVER BSCS

Asymptotically Tight MLD Bounds and Minimum-Variance Importance Sampling Estimator for Linear Block Codes Over BSCs

In this paper, we re-examine the classical problem of efficiently evaluating the block and bit error rate performance of linear block codes over binary symmetric channels (BSCs).In communication systems, the maximum likelihood decoding (MLD) bounds are powerful tools to predict the error performance of the coded systems, especially in the asymptoti

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Brain BOLD MRI O2 and CO2 stress testing: implications for perioperative neurocognitive disorder following surgery

Abstract Background Mechanical ventilation to alter and improve respiratory gases is a fundamental feature of critical care and intraoperative anesthesia management.The range of inspired O2 and expired CO2 during patient management can significantly deviate from values in the healthy awake state.It has long been appreciated that hyperoxia can have

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