Preliminary research of real-time denoising algorithm based on wavelet theory

There is always some noise contained in the signal that we acquisition in engineering application. The useful information within original signals can be displayed availably only with denoising. Fourier Analysis (FA), Gabor Analysis (GA) and Wavelet Analysis (WA) are some popular signal analysis tools. WA is the primary tool for time-frequency analysis which is developed on FA. WA is so flexible in the localize time-frequency analysis that can focus on arbitrary detail of the given signal. So it is compared to the "Microscope" of time-frequency analysis which is acknowledged by both mathematic world and engineering application area. In the field of signal processing, the processed signal is often real-time. It means that we must consider the real time of algorithm besides its complexity. That is a more challenging subject. This paper is based on WA theories, through comparing after processing many signals, and gives an available real-time algorithm that can get waveform feature of temporary, stationary ones from contaminated signal. The resolution ratio, signal/noise ratio and real-time processing ability can be raised with the algorithm. These instructions give you guidelines for preparing papers for IEEE TRANSACTIONS and JOURNALS. Use this document as a template if you are using Microsoft Word 6.0 or later. Otherwise, use this document as an instruction set. The electronic rile of your paper will be formatted further at IEEE. Define all symbols used in the abstract. Do not cite references in the abstract. Do not delete the blank line immediately above the abstract; it sets the footnote at the bottom of this column.