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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Disadvantages of the methodology and practice of analysis of the financial status of the enterprise: Causes, consequences, ways of elimination

Today, businesses operate in conditions of significant competition and a high level of unpredictability of changes in the environment.Therefore, for each company it is even more important to make optimal management decisions.A significant number of decisions are made based on the results of the analysis of the financial condition of the enterprise.

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Operator growth and black hole formation

Abstract When two particles collide in an Windshield Headers asymptotically AdS spacetime with high enough energy and small enough impact parameter, they can form a black hole.Motivated by dual quantum circuit considerations, we propose a threshold condition for black hole formation.Intuitively the condition can be understood as the onset of overla

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Ethics approval in applications for open-access clinical trial data: An analysis of researcher statements to clinicalstudydatarequest.com.

Although there are a number of online platforms for patient-level clinical trial data sharing from industry sponsors, they are not very harmonized regarding the role Inline - Parts - Inline Chassis of local ethics approval in the research proposal review process.The first and largest of these platforms is ClinicalStudyDataRequest.com (CSDR), which

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