Abstract
In this paper, we show that self-normalized versions of central limit theorem and almost sure central limit theorem hold with more general weight sequence both for i.i.d. random sequence and mixing sequence. Our conclusions generalize and improve the known results from the logarithmic averages which used traditionally in almost sure central limit theorem to some general averages.