Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science
Shigang Hu
Hunan University of Science and Technology

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Research of Signal De-noising Technique Based on Wavelet Shigang Hu; Yinglu Hu; Xiaofeng Wu; Jin Li; Zaifang Xi; Jin Zhao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

During the process of signal testing, often exposed to interference and influence of all kinds of noise signal, such as data collection and transmission and so may introduce noise. So in practical applications, before analysis of the data measured, the need for de-noising processing. The signal de-noising is a method for filtering the high frequency  noise of the signal and makes the signal more precise. This paper deals with the general theory of wavelet transform, the application of wavelet transform in signal de-noising as well as the analysis of the characteristics of noise-polluted signa1. Matlab is used to be carried out the simu1ation where the different wavelet and different threshold of the same wavelet for signal de-noising are applied. An indicator of wavelet de-noising is presented , it is the indicator of smoothness. Through analysis of the experiment , considered MSE , SNR and smoothness , it can be a good way to evaluate the equality of wavelet de-noising. The results show that the wavelet transform can achieve excellent results in signal de-noising. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3260 
Comparisons of Threshold EZW and SPIHT Wavelets Based Image Compression Methods Xiaofeng Wu; Shigang Hu; Zhiming Li; Zhijun Tang; Jin Li; Jin Zhao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Images require substantial storage and transmission resources, thus image compression is advantageous to reduce these requirements. The objective of this paper is to implement the concept of wavelet based image compression to gray scale images using different wavelet techniques. The techniques involved in the comparison process are threshold method, EZW(embedded zerotree wavelet) and SPIHT(set partitioning in hierarchical trees). These techniques are more efficient and provide a better quality in the image.  Matlab is used to be carried out the simu1ation where different wavelet and different methods for image compression are applied. The techniques are compared by using the performance parameters CR (Compression Ratio), PSNR (Peak Signal to Noise Ratio), MSE (Mean Square Error), and BPP (Bits per Pixel). Images obtained with those techniques yield very good results. The results showed that the compression effect of wavelet threshold compression is not good; wavelet decomposition level and wavelet function impact on the compression effect; Wavelet based image compression based on EZW and SPIHT are more efficient. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4437
Co-Authors Jin Li Jin Zhao Xiaofeng Wu Yinglu Hu Zaifang Xi Zhijun Tang Zhiming Li