Recently, a new method for quantitatively comparing NMR spectra of control and treated samples, in order to examine the possible occurring variations in cell metabolism and/or structure in response to numerous physical, chemical, and biological agents, was proposed. This method is based upon the uti
AN IMPROVED ALGORITHM FOR DIRECT TIME-DOMAIN AVERAGING
β Scribed by LIU HONGXING; ZUO HONGFU; JIANG CHENGYU; QU LIANGSHENG
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 129 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0888-3270
No coin nor oath required. For personal study only.
β¦ Synopsis
Time-domain averaging (TDA) is a common method to extract a periodic component of interest from a noisy compound signal. With the period of the interesting component determined, we often consecutively cut out some segments in length of the period from the compound signal and directly average them. In such direct averaging with digital computers, the period actually used possesses some error, called period cutting error, which is less than half a sampling interval. This paper "nds that there is a large bad in#uence of the period cutting error on the direct TDA results. Furthermore, the paper introduces an improved algorithm for the direct TDA. The improved algorithm basically solves the problem caused by the period cutting error. With some tests and analyses, it was shown that the improved algorithm is much better than the original one.
π SIMILAR VOLUMES
Given an undirected graph with edge costs and a subset of k nodes called terminals, a multiway cut is a subset of edges whose removal disconnects each terminal from the rest. Multiway Cut is the problem of finding a multiway cut of minimum cost. Previously, a very simple combinatorial algorithm due
Recently, two methods have been proposed for quantitatively comparing NMR spectra of control and treated samples, in order to examine the possible occurring variations in cell metabolism and/or structure in response to numerous physical, chemical, and biological agents. These methods are the maximum