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.
Traditional block compressed sensing (BCS) of images uses the same measurement rate to measure each block, while different image blocks contain different structural features, the number of measurements needs varies as well. In this paper, a V-AMRS (Adaptive Measurement Rate Setting Method Based on Variance of Classified Image Blocks) method is proposed. According to the variances, the image blocks...
The accuracy of traffic flow forecasting plays an important role in the field of modern Intelligent Transportation Systems (ITS). The least squares support vector machine (LSSVM) has been shown to provide a strong potential in forecasting problems, particularly by using appropriate heuristic algorithms to determine the value of its two parameters. However, the disadvantage of these meta-heuristics...
The sparsity of signal is the premise of compressed sensing theory. It has been the hot topic for many years to sparsely represent the original signal accurately and quickly. For the sparse representation of image, the K-SVD dictionary training algorithm exhibits excellent performance. By calculating the variance of each block, different K-SVD parameters are settled, then the image sparse representation...
The precise detection of unbalancing problems of the rotor balancing not only can eliminate the security risks but also bring huge economic benefits. Aiming at the signal processing method for automobile flywheel-based balancing measurement system. This paper applied mathematical morphology filter to extracting the vibration signal as preprocessing to eliminate the pulse interference and then use...
Spectrum detection is a key issue of cognitive radio system. The strength of the spectrum testing ability directly determine the cognitive radio system can whether or not effectively work. Based on it, this topic is about spectrum's detection technology research. This paper introduce matrix theory that have been widely applied in wireless communication to multi-users environment and combine covariance...
The coherent signal-subspace method (CSM) for the wideband direction-of-Arrival (DOA) needs constructing a set of focusing matrices and pre-estimating the directions-of-arrival of wideband signals (DOA'S). The focusing matrices and the pre-estimated DOA's will influence directly the results of the estimation. Using the max eigenvector against the max eigenvalue from the covariance matrix of one sub-band,...
Based on the characteristic of striping noise in remote sensing images, a new destriping noise technique for the improved multi-threshold method using lifting wavelet transform applied to remote sensing imagery is presented in this letter. Have used the lifting wavelet decomposition algorithm, the thresholds are determined by corresponding wavelet coefficients in every scale. Remote sensing imagery...
DOA estimation is an important part in the study about target precision locating. For the incoherent source signals, the conventional algorithms such as MUSIC have a good performance in processing for the estimation of the directions-of-arrival (DOA's). But when the signals are correlated, most of the conventional algorithms for incorrelate signals will fail in the estimation of DOA'S. A novel algorithm...
A stable neural network control scheme for unknown non-linear systems is developed in this paper. While the control variable is optimised to minimize the performance index, convergence of the index is guaranteed asymptotically stable by a Lyapnov control law. The optimization is achieved using a gradient descent searching algorithm and is consequently slow. A fast convergence algorithm using an adaptive...
In the field of remote sensing imaging, TDICCD remote sensing images have a lot of their own characteristics, such as high-resolution, large amount of information, less overlapping parts of pixels, additional image blurring etc. Therefore, there exist many difficulties, especially in terms of high-accuracy registration of pairs of images. For that, this paper presents two new pixel interpolation method...
This paper proposes that the inter-layer separation distance (ISD) and the unit cell aligning error (UAE) are used as main variables to study the transmission performance attenuation of the double layer FSS configuration. The numerical analysis model for ISD and UAE was established and also was used to simulate the cross loop slot cell FSS transmission performance by the finite element and periodic...
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.