IMPROVED DEMAPPING FOR CHANNELS WITH DATA-DEPENDENT NOISE

Improved demapping for channels with data-dependent noise

Abstract A new demapper is presented for communication channels that can be modeled with Goggle and Accessories data-dependent noise on the received symbols.This includes optical and satellite channels with various types of distortion.The demapper incorporates the covariance information of the received symbol clusters to capture noise variation acr

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Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets.

The prediction of the trends of stocks and index prices is one of the important issues to market participants.Investors have set trading or fiscal strategies based on the trends, and considerable research in various academic fields has been studied to forecast financial markets.This study predicts the trends of the Korea Composite Stock Price Index

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