Search Results - diagonal data processing

Search alternatives:

  • Showing 1 - 20 results of 20
Refine Results
  1. 1

    Block diagonalization precoding for multiuser-MIMO downlink channel / Nur Asniffah Mat Zain by Mat Zain, Nur Asniffah

    Published 2015
    “…The transmission of data in broadcast channel is not a straightforward process; on the receiver side, there could be difficulties in coordinating signal detection. …”
    Get full text
    Get full text
    Thesis
  2. 2

    Block diagonalization precodingfor multiuser - MIMO downlink channel: article / Nur Asniffah Mat Zain by Mat Zain, Nur Asniffah

    Published 2015
    “…The transmission of data in broadcast channel is not a straightforward process; on the receiver side, there could be difficulties in coordinating signal detection. …”
    Get full text
    Get full text
    Article
  3. 3

    Covariance matrix analysis in simultaneous localization and mapping by Nur Aqilah, Othman

    Published 2016
    “…However, this thesis has proven that the cross-correlation elements are important to ensure the accuracy of the estimation; hence it should be integrated in the diagonalization process. In EKF-based SLAM, measurement data are required at each time step to complete the estimation process. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Impact resistance of a rectangular polycarbonate armor plate subjected to single and multiple impacts by Hussain Shah, Qasim

    Published 2009
    “…International Journal of Impact Engineering 2008;35:1244–50] conducted on circular armor plate for validation purposes. The single impact data scatter necessitated to conduct repeated impact tests at reduced number of locations to search for a definite answer for the possible failure process in the vicinity of the clamped edges of the plate. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    Wavelet Analysis: Comparison of Approximation and Details For Mammogram Classification by Brahim Belhaouari, samir, ibrahima, faye, Mohamed M. , Eltoukhy

    Published 2009
    “…Image features extraction is an important step in image processing techniques. The features of digital images can be extracted directly from the spatial data or from a different space. …”
    Get full text
    Get full text
    Article
  6. 6

    A Karhunen Loeve Transform Approach for Recovering Evoked Potentials from Electroencephalograph by Yusoff, Mohd Zuki, Kamel , Nidal

    Published 2009
    “…The diagonalization process actually decomposes the contaminated EP into decorrelated components; the components which are excessively dominated by EEG noise are discarded, and the ones which are less affected by the noise are preserved. …”
    Get full text
    Get full text
    Conference or Workshop Item
  7. 7

    Numerical simulation of flow within a storage area of HDPE modular pavement by A. S. N., Amirah, F. Y., Boon, K. A., Nihla, Z. M., Salwa, A. W., Mahyun, N., Yaacof

    Published 2021
    “…FLOW-3D helps the critical analysis of pavement design process and useful as supplementary tool.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  8. 8

    A Subspace Approach for Extracting Signals Highly Corrupted by Colored Noise by Yusoff, Mohd Zuki, Hussin, Fawnizu Azmadi

    Published 2010
    “…Loizou, “A Generalized Subspace Approach for Enhancing Speech Corrupted by Colored Noise,” IEEE Transactions on Speech and Audio Processing, vol. 11, no. 4, pp. 334-341, July 2003] introduced a non-symmetric basis matrix to be eigen-decomposed into its corresponding eigenvalue and eigenvector matrices; the generated eigenvector matrix is supposed to simultaneously diagonalize both the clean speech and noise covariance matrices. …”
    Get full text
    Get full text
    Get full text
    Citation Index Journal
  9. 9

    Three-Description Scalar And Lattice Vector Quantization Techniques For Efficient Data Transmission by Teo, Hui Ting

    Published 2015
    “…The index assignment algorithm utilizes a matrix, to indicate the mapping process in the proposed three description scalar quantization scheme. …”
    Get full text
    Get full text
    Thesis
  10. 10

    Imaging of solid flow in a gravity flow rig using infra-red tomography by Md. Yunus, Mohd. Amri

    Published 2005
    “…The infra-red tomography system can be divided into two distinct portions of hardware and software development process. The hardware development process covers the infra-red sensor selection, fixtures and signals conditioning circuits, and control circuits. …”
    Get full text
    Get full text
    Thesis
  11. 11

    Communication pattern and decision making in Parti Keadilan Rakyat (the People’s Justce Party) Malaysia: Phenomenography approach by Priyowidodo, Gatut, Abu Bakar, Hassan, Mustaffa, Che Su

    Published 2011
    “…Research findings are; 1) the communication pattern in the People’s Justice Party covers the formal and informal communication pattern.Formal is upward and downward communication pattern.Informal included horizontal communication, cross channel/diagonal communication and grapevine communication.2.The process of decision making is determined by three factors context, experience and authority.Meanwhile, limitation of the study is, in general, qualitative research.First, this study is put on the interview.This means that researchers can in no way confirm that the information in the form of the story is true experience or manipulative.Human attitudes and actions can always be changed.Second, researchers have limitations in data access of the informant.Third, interpretation of data depends on the researcher.Fourth, informants were selected only from some members and leaders and thus cannot be claimed as representing the communication patterns implemented by everyone. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  12. 12

    The performance of clustering approach with robust mm-estimator for multiple outlier detection in linear regression by Mohd. Azmi, Nurulhuda Firdaus, Midi, Habshah, Ismail, Noranita Fairus

    Published 2006
    “…As a result of the need to identify outliers, numerous outlying measures such as residuals and hat matrix diagonal are built. However, these outlying measures works well when a regression data set contains only a single outlying point and it is well established that regression real data sets may have multiple outlying observations that individually are not easy to identify by the same measures. …”
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    Reliable early breast cancer detection using artificial neural network for small data set by Vijayasarveswari, V., Jusoh, M., Sabapathy, T., Raof, R. A. A., Sabira, Khatun, Iszaidy, I.

    Published 2021
    “…Then, k-fold is combined with developed FFBNN for testing purpose. Four data sets are created where contains 125, 95, 65 and 30 data samples in 1st,2nd,3rd and 4th data set respectively. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  14. 14

    Prediction of Rainfall Trends Using Forecasting Approaches Based on Singular Spectrum Analysis by Kismiantini, Kismiantini, Shaharudin, Shazlyn Milleana, Setiawan, Ezra Putranda, Urwatul Wutsqa, Dhoriva, Ahmad Basri, Muhamad Afdal, Mahdin, Hairulnizam, A. Mostafa, Salama

    Published 2024
    “…The SSA steps for forecasting rainfall data include decomposition (embedding and singular value decomposition), reconstruction (grouping and diagonal averaging), and evaluating the SSA model using w-correlation (if w-correlation is close to zero, returning to the decomposition stage; otherwise, continue the process), forecasting, evaluating the forecast results using root mean square error (RMSE), mean absolute error, r, and mean forecast error, and finally selecting the best model (either the SSA-R or SSA-V model). …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    Subspace Techniques for Brain Signal Enhancement by Kamel , Nidal, Yusoff, Mohd Zuki

    Published 2009
    “…Both the simulation and real human data show that the subspace methods generate reasonably low errors and high success rate. …”
    Get full text
    Get full text
    Book Section
  16. 16

    Prediction of Rainfall Trends Using Forecasting Approaches Based on Singular Spectrum Analysis by Kismiantini, Kismiantini, Shazlyn Milleana Shaharudin, Shazlyn Milleana Shaharudin, Ezra Putranda Setiawan, Ezra Putranda Setiawan, Dhoriva Urwatul Wutsqa, Dhoriva Urwatul Wutsqa, Muhamad Afdal Ahmad Basri, Muhamad Afdal Ahmad Basri, Hairulnizam Mahdin, Hairulnizam Mahdin, Salama A. Mostafa, Salama A. Mostafa

    Published 2024
    “…The SSA steps for forecasting rainfall data include decomposition (embedding and singular value decomposition), reconstruction (grouping and diagonal averaging), and evaluating the SSA model using w-correlation (if w-correlation is close to zero, returning to the decomposition stage; otherwise, continue the process), forecasting, evaluating the forecast results using root mean square error (RMSE), mean absolute error, r, and mean forecast error, and finally selecting the best model (either the SSA-R or SSA-V model). …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17

    Finger-Vein Biometric Identification Using Convolutional Neural Network by Syafeeza, Ahmad Radzi, Mohamed, Khalil-Hani, Rabia, Bakhteri

    Published 2016
    “…For network training, we have modified and applied the stochastic diagonal Levenberg-Marquardt algorithm, which results in a faster convergence time. …”
    Get full text
    Get full text
    Get full text
    Article
  18. 18

    Structural crack detection using deep convolutional neural network / Raza Ali by Raza , Ali

    Published 2022
    “…Deep learning (DL) has emerged as an effective technique to automate the crack detection and identification process. For balanced data, existing DL models attempt to segment both crack pixels and non-crack pixels equally. …”
    Get full text
    Get full text
    Get full text
    Thesis
  19. 19

    Intelligent motion planning of a mobile robot by using convolutional neural network / Siti Asmah Abdullah by Siti Asmah, Abdullah

    Published 2019
    “…This information will be used by CNN to predict the best move as the process is repeated until the robot reaches the target position.…”
    Get full text
    Get full text
    Get full text
    Thesis
  20. 20

    Block based low complexity iterative QR precoder structure for Massive MIMO by Mok, Li Suet

    Published 2021
    “…Increasing data traffic has exposed the need for multi-user multi-antenna wireless communication systems. …”
    Get full text
    Get full text
    Thesis