The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Accuracy of peak detection is very important for autonomic evaluation based on photoplethysmographic (PPG) signals. Considering percussion peaks may not the maximum points in their PPG periods, the study proposed an improved algorithm of peak detection. It first determines the reference points at the rising edge of PPG percussion waves and then applies the local maximum only in the certain ranges...
We implemented a method that combined local binary pattern (LBP) operator and wavelet transform to extract texture features of multi-photon fluorescence microscopic images from human physiologic and pathologic scars. The proposed method includes texture feature extraction in scar multi-photon fluorescence microscopic images, and classification with a support vector machine. By comparing with other...
Hyperspectral imagery is characterized by high dimensionality and rich information. How to explore the nature of the high dimensional data more precisely and to find the actual distribution of features are the priorities in the research on hyperspectral remote sensing image processing. It is known that edges in imagery contain some important information regarding to the actual distribution of the...
In this paper, we propose a novel method for image separation combining wavelet transform and ICA with reference. For the sake of simplicity, we do not consider the influence of noise and named this new algorithm as Wavelet-ICA-R. First, three mixed images are obtained by mixing three original images together, utilized a randomly generated mixing matrix. Then, transform the reference signal and the...
Classic coherence analysis has been commonly used as a effective method for the analysis of stationary signals. To study the instantaneous coherence between non-stationary signals, we extended the concept of coherence to time-varying coherence using some time-frequency analysis methods. Wavelet-based coherence is one of the most widely used time-varying coherence methods, but few researchers have...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.