منابع مشابه
Sparse Regression Codes
Developing computationally-efficient codes that approach the Shannon-theoretic limits for communication and compression has long been one of the major goals of information and coding theory. There have been significant advances towards this goal in the last couple of decades, with the emergence of turbo and sparse-graph codes in the ‘90s [1, 2], and more recently polar codes and spatially-coupl...
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One of the factors affecting the statistical analysis of the data is the presence of outliers. The methods which are not affected by the outliers are called robust methods. Robust regression methods are robust estimation methods of regression model parameters in the presence of outliers. Besides outliers, the linear dependency of regressor variables, which is called multicollinearity...
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ژورنال
عنوان ژورنال: Foundations and Trends® in Communications and Information Theory
سال: 2019
ISSN: 1567-2190,1567-2328
DOI: 10.1561/0100000092