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.
This paper presents a speech enhancement method based on an improved wavelet based multitaper spectrum (MTS) a-priori signal to noise (SNR) ratio estimator and an harmonics regeneration noise reduction technique. The major advantage of this method is that we can effectively suppress noise in a noisy speech even in very low SNR environments without sacrificing speech intelligibility. In this paper,...
With the power system development, the application of non-linear power components is becoming more and more extensive, and the power quality situation of power system has become increasingly severe. This paper proposes a novel method based on mathematical morphology (MM) and Hilbert-Huang transform (HHT), which is used to detect and analyze power quality disturbances. To effectively suppress noises,...
Electric power network injects with amount of harmonic current because of widespread use of nonlinear load, which does great harm to the using electricity consumption. In order to prevent harmonic current from influencing safety of systempsilas operation, we should know how much the distorted wave contains harmonic and take corresponding measure to make suppression or compensation of it. But due to...
We present a system for online extraction of the fundamental frequency and the first four formant frequencies from a speech signal. In order to evaluate the performance of the extraction a resynthesis of the speech signal is performed. The resynthesis is based on the extracted frequencies and the energy of the input signal at the formant locations. The extraction of the fundamental frequency and the...
Due to the weak energy and nonstationarity, incipient fault characteristic signals are usually submerged by vibration signals of rotary machine and noise. Based on the multi-resolution feature and time-frequency localization feature of Wavelet Transform, a method to extract fault characteristic signals by decomposing them into corresponding time-frequency segmentations is presented. The noise is attenuated,...
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.