Search Results - time estimation methods algorithm*

Time delay estimation using continuous wavelet transform coefficients by Osman, A.B., Ovinis, M., Hashim, F.M., Mohammed, K., Osei, H.

“…Existing method for delay estimation, such as, using cross correlation algorithm is limited to stationary signals. …”
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Travel-Time Estimation By Cubic Hermite Curve by Owen Tamin, Badrul Ikram, Ahmad Lutfi Amri Ramli, Ervin Gubin Moung, Chin, Christie Pei Yee

“…This comparison demonstrated that the proposed method estimates travel time more accurately than Google Maps and Waze. …”
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Parameter estimation of a continuous-time plant – the least-absolute error with variable forgetting factor method by Selamat, Hazlina, Yusof, Rubiyah, Goodall, Roger M.

“…The least-absolute error with variable forgetting factor (LAE+VFF) estimation method is proposed in this paper to estimate the parameters of time-varying continuous-time (C-T) systems. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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Estimation of Response Transfer Functions of Offshore Structures Using the Time-Varying ARX Model by Yazid, Edwar, Liew, M. S., Parman, Setyamartana, Kurian, V.J.

“…The proposed approach outlined here has shown the tremendous potential in the estimation of transfer function. The results indicate that TVARX model produces accurate, smooth and less noise TF estimates over DFT method. …”
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Railway wheelset parameter estimation using signals from lateral velocity sensor by Selamat, H., Alimin, A. J., Sam, Y.M.

“…A type of parameter estimation technique based on the linear integral filter (LIF) method, the least-absolute error with variable forgetting factor (LAE+VFF) estimation method, is proposed in this paper to estimate the railway wheelset parameters modelled as a time-varying continuous-time (C-T) system. …”
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Power System State Estimation In Large-Scale Networks by NURSYARIZAL MOHD NOR, NURSYARIZAL

“…The results obtained proved that the suggested method takes lesser computational time compared with the available NRSE method, particularly when the size of the network becomes larger. …”
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Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments by Gadipudi, N., Elamvazuthi, I., Lu, C.-K., Paramasivam, S., Su, S.

“…However, current learning-based methods are computationally expensive and require a significant amount of time to estimate the pose from a video sequence. …”
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Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments by Gadipudi, N., Elamvazuthi, I., Lu, C.-K., Paramasivam, S., Su, S.

“…However, current learning-based methods are computationally expensive and require a significant amount of time to estimate the pose from a video sequence. …”
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Computational time analysis in extended kalman filter based simultaneous localization and mapping by Maziatun, Mohamad Mazlan

“…This is followed by the environment and estimation method used to solve the SLAM of mobile robot. …”
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Spectral Estimation And Supervised Classification Technique For Real Time Electromyography Pattern Recognition by Burhan, Nuradebah

“…Electromyography (EMG) signal is a biomedical signal which measures physical activity of human muscle.It has been acknowledged to be widely used in rehabilitation or recovery application system assisting physiotherapist to monitor a patient’s physical strength,function,motion and overall well-being by addressing the underlying physical issues.In application system associated with rehabilitation,a signal processing and classification techniques are implemented to classify EMG signal obtained.For real time application in the rehabilitation, the classification is crucial issue.The success of the signal classification depends on the selection of the features that represent a raw EMG signal in the signal processing.Therefore,a robust and resilient denoising method and spectral estimation technique have been acknowledged as necessary to distinguish and detect the EMG pattern.The present study was undertaken to determine the characteristic of EMG features using denoising method and spectral estimation technique for assessing the EMG pattern based on a supervised classification algorithm.In the study,the combination of time-frequency domain (TFD) and time domain (TD) were identified as the preferred denoising method and spectral estimation techniques.In the first part of study, the recorded EMG signal filtered the contaminated noise by using wavelet transform (WT) approach which implemented discrete wavelet transform (DWT) method of the wavelet-denoising signal. …”
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Hybrid FFT-ADALINE algorithm with fast estimation of harmonics in power system by Goh, Zai Peng, Mohd Radzi, Mohd Amran, Thien, Yee Von, Hizam, Hashim, Abdul Wahab, Noor Izzri

“…In the proposed method, both of the aforementioned algorithms are combined for harmonic estimation where it is able to respond immediately to any change of the measured harmonics and the settling time is reduced to half cycle of the measurement signal. …”
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Fault localization on power cables using time delay estimation of partial discharge signals by Chin, Kui Fern, Chai, Chang Yii, Asfarina Abu Bakar, Ismail Saad, Kenneth Teo Tze Kin, Megat Muhammad Ikhsan Megat Hasnan, Nur Aqilah Mohamad

“…The researchers employ the time difference of arrival (TDoA) algorithm to compute PD location using the double-end PD location algorithm, where the PD location precision serves as an indicator of the accuracy of the time delay estimation methods. …”
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Robust Kernel Density Function Estimation by Dadkhah, Kourosh

“…The classical kernel density estimation technique is the commonly used method to estimate the density function. …”
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An improved Multipath Estimating Delay-Lock-Loop method based on Teager-Kaiser operator by Fa, Ji Yuan, Jie, Tian Lian, Yan, Sun Xi, Suqing, Yan, Kamarul Hawari, Ghazali, Khatuni, S.

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Estimation Of Time Of Concentration Using Triangulated Irregular Network Method by Ewe, Teik Tsia

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Time Varying Channel Estimation for Amplify-and-Forward Relay Network by Rabbi, M. F., Yusnita, Rahayu, Kamarul Hawari, Ghazali

“…Then a Least Square (LS) and a Linear MMSE (LMMSE) based algorithm is applied to estimate BEM coefficients which are used for channel reconstruction later. …”
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A New Proposed Method to Estimate Attenuation Based on Shift Frequency Method by Hermana, Maman, Harith, Zuhar Zahir Tuan

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Fast adaptive motion estimation for H.264 by Patwary, Md Anwarul Kaium

“…Furthermore this study presents an analysis of the performance of the proposed algorithm in terms of motion estimation time, total encoding time, and video quality (PSNR). …”
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BLOCK MOTION ESTIMATION USING DIRECTIONAL ADAPTIVE SEARCH WINDOW by Fadly Chew, NorFarhana

“…However, it introduces an increase of computation complexity resulting in longer execution time. Thus, adaptive motion estimation for H.264 is proposed in order to reduce the execution time while giving better PSNR performance. …”
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