%0 Journal Article
	%A Lei Lei and  Chao Wang and  Xin Liu
	%D 2013
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 81, 2013
	%T Discrete Wavelet Transform Decomposition Level Determination Exploiting Sparseness Measurement
	%U https://publications.waset.org/pdf/16666
	%V 81
	%X Discrete wavelet transform (DWT) has been widely adopted in biomedical signal processing for denoising, compression
and so on. Choosing a suitable decomposition level (DL) in DWT is of paramount importance to its performance. In this paper, we propose to exploit sparseness of the transformed signals to determine the appropriate DL. Simulation results have shown that the sparseness of transformed signals after DWT increases with the increasing DLs. Additional Monte-Carlo simulation results have verified the effectiveness of sparseness measure in determining the DL.

	%P 1182 - 1185