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.
The examination of anatomical structures through ultrasound (US) is widely employed in everyday medical diagnostics. Unfortunately, the quality achievable in US imaging is limited by speckle noise. This sort of noise produces a particular spotted pattern which makes image interpretation difficult, hampers the application of automatic segmentation methods, and can hide small but important morphological...
This paper utilizes the powerful capability of Matlab and its graphical user guide to design rational digital filters, realizes spectral analysis of the speech signal with noise. First of all, a speech was recorded, and some noises were added to the original speech signal; then several common digital filters were used to filter the speech signal, playing the sound before and after filtering; then...
Commercial websites usually contain noisy information blocks along with main content. Noisy information degrades the performance of web content mining. Web content mining is used for discovering useful knowledge or information from the web page. In this paper, we propose noise elimination method that uses tag based filtering followed by structural analysis of the web page. The proposed tag based filtering...
In order to achieve the UAV's precise positioning of the radiation target, firstly is to do the state estimation itself. The BDS/INS Integrated Navigation system is a high-precision real-time navigation scheme which has been widely used, it is not only able to pinpoint the UAV, but also can provide the UAV's navigation information such as speed, acceleration and attitude angle etc. so it can meet...
Noise is inherent in digital systems. To smooth a point cloud while preserving sharp edges, a new 3D bilateral filter is proposed. It uses the point cloud normal vector in addition to color as a position vector for preserving sharp edges while smoothing the color. The bilateral blurs data while preserving strong edges. In 2D images, the concept of edge is defined by an abrupt change in color. In this...
This paper proposes a non-linear distortion noise power control method which uses clipping and in-band and out-of-band filtering methods for multi-band OFDM transmission. The proposed method selects appropriate clipping levels and filtering methods according to transmission power and required noise power conditions on own and the other system bands in a transmitter. The evaluation results show that...
High-resolution signal reconstruction from a set of its noisy low-resolution measurements is considered. As an alternative solution to this problem, a method employing the empirical mode decomposition (EMD) based denoising approach is proposed. In the framework of the proposed method, iterative EMD interval-thresholding based denoising procedure is applied to each noisy low-resolution measurement...
This study assesses the complexity of heart period (HP) and QT variability series through sample entropy (SampEn) in long QT syndrome type 1 individuals. In order to improve signal-to-noise ratio SampEn was evaluated over the original series (SampEn0) and over the residual computed by subtracting the first oscillatory mode identified by empirical mode decomposition (SampEnEMD1R). HP and QT interval...
In this paper, a channel estimation algorithm for localized resource assignment is studied. Here, we exploit the singular values of coefficient matrix between the received demodulation reference signal (DMRS) and the channel impulse response (CIR), and discover that the singular values will attenuate rapidly after a particular index. Utilizing this characteristic, the proposed algorithm modifies the...
In clinical medicine fetal electrocardiograms (ECGs) are useful for monitoring fetal health during pregnancy. This research investigates a variety of adaptive filtering techniques to remove maternal interference from fetal ECGs and to determine which techniques are most effective under varying circumstances. Experimental results suggest that a sequential combination of adaptive linear prediction coding...
The energy of vibration signal and noise is very strong during armored vehicle machine system is running. Energy of signal that reflects on early fault is very weak. How to detect early fault effectively from vibration signal and noise is very important. So small wavelet correlation filtering denoise is researched to achieve the goal. Threshold detect is applied to discover vibration signal edge....
Active contour is a popular technique for vascular segmentation. However, existing active contour segmentation methods require users to set values for various parameters, which requires insights to the method's mathematical formulation. Manual tuning of these parameters to optimize segmentation results is laborious for clinicians who often lack in-depth knowledge of the segmentation algorithms. Moreover,...
This paper presents a new video surveillance system called KVSS using background based on Type-2 Fuzzy Gaussian Mixture Models (T2 FGMMs). These techniques are used for resolving some limitations on Gaussian Mixture Models (GMMs) techniques on critical situations like moved camera jitter, illumination changes and objects being introduced or removed from the scene. In this context, we introduce descriptions...
In this letter, an approach based on spectral diversity and conventional Interferometric Synthetic Aperture Radar (InSAR) for Digital Elevation Model (DEM) reconstruction is proposed. Conventional InSAR technique often fails to correctly reconstruct the DEM due to the presence of discontinuities and/or interferometric noise. With the assistance of the spectral diversity method, the ill-posed phase-unwrapping...
Detecting stationary crowd groups and analyzing their behaviors have important applications in crowd video surveillance, but have rarely been studied. The contributions of this paper are in two aspects. First, a stationary crowd detection algorithm is proposed to estimate the stationary time of foreground pixels. It employs spatial-temporal filtering and motion filtering in order to be robust to noise...
This paper presents a new integrated InSAR phase filtering and unwrapping method based on a Markov Random Field model. This approach aims to estimate the noise free unwrapped phase from the observed noisy interferogram. The phase image is modeled using MRF where the correponding energy function is defined. This fuctional contains two parts: the first part is dedicated to the interferogram filtering...
It turns out that the iterative approach is very attractive for image reconstruction in positron emission tomography (PET). Its reconstruction quality heavily depends on the accuracy of the measurement model, which consists of the projection matrix and the statistics of noise. Almost all of iterative approaches require that the projection matrix is exactly known a prior, which conflicts with the fact...
It is well known that filtering of multichannel images is, in general, more efficient compared to separate filtering of component data. This property can be exploited in processing dual-polarization radar images acquired by synthetic aperture radar (SAR) which are distorted by intensive speckle. Filtering of dual-polarization SAR images composed of HH and VV polarization components is studied. A novel...
In mobile object recognition (OR) applications, the power consumption of image sensor and data communication between image sensor and digital OR processor becomes crucial as digital OR processor consumes less power in deep sub-micron process. To reduce the amount of data transaction from image sensor to digital OR processor, digital/analog mixed-signal focal-plane processing of Binary Robust Invariant...
In this paper, we propose a novel progressive nonlinear measurement update for circular states. This generalizes our previously published circular filter that so far was limited to identity measurement equations. The new update method is based on circular distributions in order to capture the periodic properties of a circular system better than conventional approaches that rely on standard Gaussian...
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.