Search Results - ((reconstruction algorithm) OR (selection algorithm))

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    Reconstruction Algorithm In Ofdm System by Hwong, Sing Pui

    Published 2017
    “…Consequently, various widely used compressive sensing reconstruction algorithm such as: Orthogonal Matching Pursuit (OMP), Compressed Sensing Matching Pursuit (CoSaMP), and Subspace Pursuit (SP) will be evaluated to test their efficacy sparse estimation performances in OFDM system.…”
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    Monograph
  3. 3

    Quantum-implementable selective reconstruction of high-resolution images by Peruš, M., Bischof, H., Caulfield, H.J., Loo, C.K.

    Published 2004
    “…This paper, written for interdisciplinary audience, presents computational image reconstruction implementable by quantum optics. The input-triggered selection of a high-resolution image among many stored ones, and its reconstruction if the input is occluded or noisy, has been successfully simulated. …”
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    Article
  4. 4

    Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography by Tian, Wenbin, Ramli, Mimi Faisyalini, Yang, Wuqiang, Sun, Jiangtao

    Published 2020
    “…It is crucial to select a suitable relaxation factor in iterative image reconstruction algorithms (e.g. …”
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    Article
  5. 5

    Integrated reconstruction of 2D overlapping coronary artery from x-ray angiography with 3D virtual myocardial model using non-rigid iterative closest point algorithm by Omar, Mahmood Mohammed Ali

    Published 2019
    “…This motivates the 3D reconstruction of real coronary arteries superimposed on a 3D virtual heart model using a non-rigid iterative closest point algorithm, which is the focus of this thesis. …”
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    Thesis
  6. 6

    Task-based assessment on various optimization protocols of computed tomography Pulmonary Angiography examination by Harun, Hanif Haspi, Abdul Karim, Muhammad Khalis, Muhammad, Nor Azura, Awang Kechik, Mohd Mustafa, Ming, Tsuey Chew, Talib, Zainal Abidin

    Published 2021
    “…The standard CTPA protocols were altered on its tube potential, pitch factor and iterative reconstruction algorithm (IR). Three different levels of iDose, an IR algorithm were measured in this study. …”
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    Article
  7. 7

    Impact of BPL penalty functions and PSF models in PET/CT radial spatial resolution recovery by Si, Wang Jie

    Published 2024
    “…Conclusion: OSEM+TOF+PSF+BPL (β200) reconstruction algorithms is suggested to be the optimum reconstruction algorithm that can be practiced by NCI in clinical setting due to best radial spatial resolution recovery even with increased of radial distances.…”
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    Monograph
  8. 8

    Optimal model order selection for Transient Error Autoregressive Moving Average (TERA) MRI reconstruction method by Aibinu, Abiodun Musa, Najeeb, Athaur Rahman, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin

    Published 2008
    “…These criteria were evaluated on MRI data sets based on the method of Transient Error Reconstruction Algorithm (TERA). The result for each criterion is compared to result obtained by the use of a fixed order technique and three measures of similarity were evaluated. …”
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    Proceeding Paper
  9. 9

    Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method by Najeeb, Athaur Rahman, Salami, Momoh Jimoh Eyiomika, Aibinu, Abiodun Musa, Shafie, Amir Akramin

    Published 2008
    “…These criteria were evaluated on MRI data sets based on the method of Transient Error Reconstruction Algorithm (TERA). The result for each criterion is compared to result obtained by the use of a fixed order technique and three measures of similarity were evaluated. …”
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    Article
  10. 10

    Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms by Bundak, Caceja Elyca

    Published 2021
    “…Firstly, the MF RPs database is reconstructed into a cluster database using the clustering algorithm. …”
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    Thesis
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    Establishment of spectral subtraction-based algorithm for experimental modal analysis under operating condition by Che Ku Eddy Nizwan, Che Ku Husin

    Published 2022
    “…The artificial ambient was selected from the second half of the reconstructed signal. …”
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    Thesis
  13. 13

    Speech enhancement in non-stationary noise using compressive sensing by Sulong, Amart, Gunawan, Teddy Surya, Khalifa, Othman Omran, Kartiwi, Mira

    Published 2016
    “…The performance is evaluated using PESQ score improvement. Our proposed algorithm shows better performance compared to other traditional algorithms across two non-stationary noises at various SNRs. …”
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    Proceeding Paper
  14. 14

    Adaptive Pca-Based Models To Reconstruct 3d Faces From Single 2d Images by Maghari, Ashraf Y. A.

    Published 2014
    “…A regularized 3D face reconstruction algorithm has also been examined to find out how common factors such as the regularization matrix, the number of feature points, and the regularization parameter l affect the accuracy of the 3D face reconstruction based on the PCA model. …”
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    Thesis
  15. 15

    Exponential Parameterized Cubic B-Spline Curves And Surfaces by Ammad, Muhammad

    Published 2020
    “…The algorithm computes knot values for parameterization methods. …”
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    Thesis
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    Message based random variable length key encryption algorithm. by Mirvaziri, Hamid, Jumari, Kasmiran, Ismail, Mahamod, Mohd Hanapi, Zurina

    Published 2009
    “…In order to overcome analysis mentioned above a new algorithm is designed that is based on random numbers and also can defeat time and memory constraints. …”
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    Article
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    Wavelet-based compression of medical images: Filter-bank selection and evaluation by Saffor, A., Bin Ramli, A.R., Ng, K.H.

    Published 2003
    “…Wavelet-based image coding algorithms (lossy and lossless) use a fixed perfect reconstruction filter-bank built into the algorithm for coding and decoding of images. …”
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    Article
  18. 18

    Disparity map calculation through epipolar lines estimation for 3D facial reconstruction by Cheddad, Abbas, Setan, Halim, Majid, Zulkepli

    Published 2005
    “…To eliminate this problem and to increase the precision we chose to start with an initial eight matched points to generate the Fundamental Matrix (FM), this is called the 8- Points Algorithm. The FM has a compact description of the camera parameters and it is a 3x3 matrix. …”
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    Conference or Workshop Item
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    Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks by Abualsaud, Khalid, Mahmuddin, Massudi, Saleh, Mohammad, Mohamed, Amr

    Published 2014
    “…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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    Conference or Workshop Item
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    SMART: a subspace based malicious peers detection algorithm for P2P systems by Wei, Xianglin, Fan, Jianhua, Chen, Ming, Ahmed, Tarem, Pathan, Al-Sakib Khan

    Published 2013
    “…Secondly, based on Multiscale Principal Component Analysis (MSPCA) and control chart, a Subspace based MAlicious peeRs deTecting algorithm (SMART) is brought forward. SMART first reconstructs the original reputation matrix based on subspace method, and then finds malicious peers out based on Shewhart control chart. …”
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    Article