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.
Noise reduction technologies have been applied to enhance the intelligibility of voice communications. However, existing methods are vulnerable to complex non-stationary noisy conditions, which are commonly encountered in real world hands-free scenarios. Additionally, the existing methods do not fully take the advantage of the deployment of multi-channel microphone arrays on the burgeoning high-end...
Aiming at multisection sinusoidal signals with the same frequency and length, a frequency estimation algorithm of multisection signals with the same frequency and length based on spectrum correlation is proposed. It can improve the frequency estimation precision of short-time sinusoidal signal under the condition of low SNR. Firstly, generate a spectrum zoom sequence and calculate the spectra of corresponding...
Based on spectrum correlation of Multi-section Sinusoids with the Known Frequency-Ratio (hereinafter referred as MSKFR), a frequency estimation algorithm was proposed. This algorithm aims at improving frequency estimation of the short sinusoid at low Signal-to-Noise Ratio(SNR), and extending the applicable range of the multi-section signals fusion method. Firstly, an easy way to get MSKFR in application...
To attain fast and accurate parameters estimation of LFM signal under low signal and noise ratio conditions, a novel algorithm is presented. In this algorithm, LFM signal is first converted into multi-section signals with the same length and known frequency-difference by an easy sampling method, and the relation between the parameters of LFM signal and frequencies as well as frequency-differences...
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.