Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
The method of compressive sensing is applied to moving source data created by simulation to estimate the mode wavenumbers, mode depth functions and mode amplitudes without any environmental acoustic information, such as sound speed profile or bottom properties. The method needs in principle only data covering a short range span and is thus applicable to a range-dependent environment to estimate the...
In recent years there have been many proposals for automated applications in vegetable harvesting. There are two major challenges: estimation of yield and harvesting of fruit trees. This research proposes a new algorithm that allows accurate counting of the number of fruits on a tree to accurately estimate the output of a dragon fruit. The algorithm consists of the following main steps: image segmentation,...
The brain produces weak electrical signals that can be measured from the skull. Electroencephalography (EEG) is a method that provides monitoring electrical activity of the brain with the electrical methods. Brain Computer Interface (BCI) is a system that converts the electrical signals produced by the brain to the signals that can be interpreted by a computer or an electronic system. Brain Computer...
Viterbi algorithm (VA) applied to time frequency (TF) distribution is a highly performed instantaneous frequency (IF) estimator, but it suffers from switch problem (SP) at the intersected points of multi-components on the TF plane. In order to suppress the SP in VA, an improved VA (IVA) in this paper assumes the IF variation trends between two adjacent IF points are not large, then a new penalty function...
A systematic analytical procedure based on the concept of the analytic signal (AS) of Gabor is used to estimate amplitude and phase of input multi-harmonic signal. To this end, assuming the signal fundamental frequency is known in advance (i.e., estimated at an independent stage), the reduction in complexity is achieved owing to completely new analytical and summarized expressions that enable a quick...
Traversable region estimation is the fundamental enabler in autonomous navigation. In this paper, we propose a traversable region segmentation algorithm using stereo vision. We address this problem mainly in road scenes for the goal of autonomous driving. Using only geometry information, our approach has the advantages of effectiveness and robustness. The proposed approach is based on a cascaded framework...
In the industrial field, how to find the fault and diagnosis the fault have become an urgent requirement. In which the early fault diagnosis is the most challenging, due to the information related to the early fault is almost too weak, that is hard to be found. In this paper, we focus on a classical signal processing method called synchrosqueezing transform (SST) that is re-designed to detect the...
Optical flow estimation is one of the most studied problems in computer vision, yet recent benchmark datasets continue to reveal problem areas of today’s approaches. Occlusions have remained one of the key challenges. In this paper, we propose a symmetric optical flow method to address the well-known chicken-and-egg relation between optical flow and occlusions. In contrast to many state-ofthe- art...
In this paper we propose a fast method for detecting the ground plane in 3D scenes for an arbitrary roll angle rotation of a stereo vision camera. The method is based on the analysis of the disparity map and its “V-disparity” representation. First, the roll angle of the camera is identified from the disparity map. Then, the image is rotated to a zero-roll angle position and the ground plane is detected...
The reliable moving direction of the mobile robot helps stable navigation as well as robust self-localization. Since the sun is one of visible dominant landmarks for outdoor navigation, in this paper, we describe a new estimation algorithm for the mobile robot direction based on the sun azimuth angle from omnidirectional image. The proposed approach can be applicable outdoor navigated by using only...
Pulse wave velocity (PWV) is a reliable index of arterial stiffness. To date, reflected pulse wave interference is still a major challenge for regional PWV estimation using ultrasound imaging methods. In this study, a high-resolution Radon transform (HRT) method is proposed to eliminate the reflected wave interferences in PWV estimation.
This paper proposes a lane estimation algorithm on roads where lanes are not visible due to fading or bad weather conditions. The proposed algorithm is conducted by utilizing the road width and remained lines on roads. The results indicate that the proposed algorithm can estimate lanes in heavy rains and nights.
Surface registration is an inevitable step for solving the correspondence problem in statistical shape modeling and useful for automatic 3D segmentation of objects of a certain shape. Common techniques for a pairwise surface registration rely either on a point-based or a mesh-based representation of the source (moving) and the target (fixed) surface. Iterative closest point (ICP) algorithms operate...
This work addresses the problem of estimating the accuracy of a certain class of digital signal processing algorithms, known as linear signal transforms, when implemented on field programmable gate array (FPGA) hardware computational structure (HCS) units. A solution is provided through the formulation of a hardware development framework which uses complex multipliers and complex addition units as...
This paper presents an application of a discrete derivative method with a new frequency mapping technique for adaptive-notch-filter (ANF) based resonance suppression in an actual industrial servo system. An ANF includes a frequency estimator which estimates the frequency of input signal in real time. A new discrete derivative method, which utilizes a modified bilinear transform, was recently developed...
This paper proposes the method of propagation mode extraction on ionograms with the help of the Hough transform. Usually, the Hough transform for ionogram processing is used at the step of track autoscaling, when propagation modes already extracted. Authors propose a method for image binarization based on the application of abnormal sample extraction method which allows to use of the Hough transform...
A joint timing offset (TO) and frequency offset (FO) estimation method based on Radon-Wigner transform (RWT) is first proposed for coherent optical orthogonal frequency-division multiplexing (CO-OFDM) systems. The result shows that the timing and frequency synchronization performance of the proposed method are both better than the Schmidl & Cox method and fractional Fourier transform (FrFT) algorithm...
An approach to the spectral estimation for some classes of non-stationary random signals is developed, that addresses stationary random processes deformed by a stationarity-breaking transformation. Examples include frequency modulation, time warping, non-stationary filtering and others. Under suitable smoothness assumptions on the transformation, approximate expressions are obtained in adapted representation...
In High Efficiency Video Coding (HEVC), a rate control module usually relies on a bitrate model (representing the bitrate as a function of video content statistics and control parameters of the codec) to control the encoder to achieve the target bitrate. Existing bitrate models are not accurate due to their sensitivity to dynamic change of video content. To address this limitation, this paper proposes...
Crowd analysis on video recordings is an important research area currently. In this work, a combined crowd density estimation method is presented to overcome this problem. To improve the accuracy of the system two different estimators run simultaneously and a blob is marked as a person only if both estimators mark it as person. One of the main problems in crowd density estimation is occlusion. To...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.