Browsing The Library by Subject "International Colloquium on Signal Processing and Its Applications (CSPA)"

Now showing items 1-7 of 7

    • Classification of vowel sounds using MFCC and feed forward neural network 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Nazri, A.; Kumar, S. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and its sub-group to another. Hence, it is necessary to develop an exclusive Speech to text translation system ...

    • Diagnosis of vocal fold pathology using time-domain features and systole activated neural network 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Hariharan, M. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      Due to the nature of job, unhealthy social habits and voice abuse, the people are subjected to the risk of voice problems. It is well known that most of vocal fold pathologies cause changes in the acoustic voice signal. ...

    • Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Zin, M.Z.M. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead ...

    • Fuzzy variable structure control of dynamical systems with an application to micro satellite stabilization 

      Rusli, R.; Nagarajan, Ramachandran, Prof. Dr.; Muhajir, Rahim; Zuraidah, Md. Zain, Prof. Dr. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      This paper is on determining a hybrid form of control which has both Fuzzy Logic Control (FLC) and Variable Structure Control (VSC) integrated. This proposed Fuzzy Variable Structure Control (FVSC) approach combines the ...

    • Loudspeaker fault detection using artificial neural network 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Saad, M. R. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      Traditionally, loudspeaker's quality control has been done manually and inspection of loudspeaker faults is time consuming and causes error in the quality evaluation. In order to reduce the time consumption and errors in ...

    • Statistical time energy based damage detection in steel plates using artificial neural networks 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Mohd Shukri, Abdul Majid; Sazali, Yaacob, Prof. Dr.; Mohd Hafiz, Fazalul Rahiman; Krishnan, R. P. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      In this paper, a simple method for crack identification in steel plates based on statistical time energy is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of a ...

    • Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite 

      Nagarajan, Ragunathan; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Sazali, Yaacob, Prof. Dr.; Zuraidah, Mohd Zain, Prof. Dr.; Hoh, W. S. K.; Arshad, A. S. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      Attitude control system is designed to change the attitude of a satellite, able to meet pointing requirement, eliminating external disturbances, a low-cost controller as well as a high reliability control system which can ...