概述 通过mexFunction,对Polar码编解码进行仿真 功能 非系统码编码器 非系统码SC译码器 非系统码SCL译码器 非系统码CA-SCL译码器 系统码编码器 系统码CA-SCL译码器 仿真方法 通过matlab中的mex命令编译各目录下的c文件 编写测试PolarCodes的matlab脚本文件 利用编译产生的mex文件和matlab脚本文件对Polar码进行仿真Ab...
Brief description of the object of the electrical properties of a polymer composed of electrical insulation containing a polar additivethe invention relates to a process making it possible to improve the electrical properties of a compound of electrical insulation containing a polar additive, such as ...
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Cyclic dimeric guanosine monophosphate (c-di-GMP) serves as a bacterial second messenger that modulates various processes including biofilm formation, motility, and host-microbe symbiosis. Numerous studies have conducted comprehensive analysis of c-di-GM
Using OU Live to record videos (how tos) “Difficult to get students speaking” to each other – tactic stay silent or have an opener iCMAs could be helpful Generally like the tutor notes Module teams really responsive Brief question time ...
In a recent research work proposed in [234], a FE structure based on Polar codes for SRAM PUFs was proposed. This work utilized complex Hash-Aided SC decoder to ensure that the key was reproducible. Using this methods the authors in [234] were able to reproduce their key using 896 helper...
Advanced Vue.js Features from the Ground Up - Learn how to build more accessible routing, state management, form validation and internationalization libraries from the ground up! Become a Ninja with Vue 3 - This course teaches how to build a complete application with Vue 3, step by step, usi...
Because of this overlap, no single brief definition of myth can encompass all its many functions and aspects. From a semiotic point of view, however, we may say that myth is a narrative structure whose sign-and symbol-systems are closely correlated with the central values of the culture...
Learning effective molecular feature representation to facilitate molecular property prediction is of great significance for drug discovery. Recently, there has been a surge of interest in pre-training graph neural networks (GNNs) via self-supervised lea
Around 65% of the considered area is expected to experience an increase in functional vulnerability, with a mean increase of about 12%. Likewise, regions with decreasing functional vulnerability would experience a 11% decrease on average. Globally, polar areas, and especially in the Northern ...