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11 results for “Daubechies”
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Research ArticleOpen accessIn the keywordsCONTENT BASED BATIK IMAGE RETRIEVALA. Haris Rangkuti, Agus Harjoko, Agfianto Eko PutroContent Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with other images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other image characteristics. To study this batik … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 7,417 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCONTENT BASED BATIK IMAGE CLASSIFICATION USING WAVELET TRANSFORM AND FUZZY NEURAL NETWORKAbdul Haris RangkutiIn this paper we introduce the content-based image classification using wavelet transform with Daubechies type 2 level 2 to process the characteristic texture consisting of standard deviation, mean and energy as Input variables, using the method of Fuzzy Neural Network (FNN). All the input value will be processed using fuzzyfication with 5 categories namely Very Low (VL), Low (L), Medium … …Journal of Computer Science, Vol. 10, Issue 4 · 19 Dec 2013 · 6,683 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPOWER QUALITY DIAGNOSIS IN DISTRIBUTION NETWORK USING WAVELET TRANSFORMH. H. Goh, H. L. Ting, Q. S. Chua et al.Power quality is one of the most concerns to the electric power suppliers, equipment manufacturers and the users of various electrical and electronic equipments. This paper presents the use of a continuous wavelet transform to detect and analyse voltage sags and swells. Characteristics which include duration and magnitude of the investigated signals are measured. Unlike other approaches where the detection … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 26 Dec 2013 · 7,061 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImage Compression using Space Adaptive Lifting SchemeRamu Satyabama, AnnaduraiProblem statement: Digital images play an important role both in daily life applications as well as in areas of research and technology. Due to the increasing traffic caused by multimedia information and digitized form of representation of images; image compression has become a necessity. Approach: Wavelet transform has demonstrated excellent image compression performance. New algorithms based on Lifting style implementation … …Journal of Computer Science, Vol. 7, Issue 11 · 29 Aug 2011 · 7,143 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIdentification of Electrooculography Signals Frequency Energy Distribution Using Wavelet AlgorithmW.M. Bukhari, W. Daud, Rubita Sudirman, Camallil OmarProblem statement: The time frequency analysis of non-stationary signals has been the considerable research effort in recent years. Wavelet transform is one of the favored tool for the analyzing the biomedical signals. Approach: We describe the identification of Electro-Oculograph (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. The capability of … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 8,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractCardiovascular Diseases Identification Using Wavelet Optimization and Modify Cuckoo Search AlgorithmBanit Negi, Abhilekh Bartwal, Agya Ram Verma et al.The problem the author aims to solve is the extraction of discriminatory features in ECG (Electrocardiogram) signals for classification purposes. The scope of the work is to propose a new method for building wavelets that best reflect the discriminatory capacity of ECG signals. The approach involves optimizing the wavelets specifically for the classification function under consideration. To address the problem, … …Journal of Computer Science, Vol. 19, Issue 8 · 3 Aug 2023 · 5,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of SVM-RBF Kernel Space Parameter to Optimize Accuracy Value of Indonesian Batik Images ClassificationAvinanta Tarigan, Dewi Agushinta, Adang Suhendra, Fikri BudimanImage retrieval using Support Vector Machine (SVM) classification verydepends on kernel function and parameter. Kernel function used by dot productsubstitution from old dimension feature to new dimension depends on imagedataset condition. In this research, parameter of Gaussian /Radial BasisFunction (RBF) kernel function is optimized using multi class non-linear SVMmethod and implemented to training and test datasets of traditional Indonesian batik … …Journal of Computer Science, Vol. 13, Issue 11 · 23 Oct 2017 · 7,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeaker Identification Using Discrete Wavelet TransformShanthini Pandiaraj, K. R. Shankar KumarThis study presents an experimental evaluation of Discrete Wavelet Transforms for use in speaker identification. The features are tested using speech data provided by the CHAINS corpus. This system consists of two stages: Feature extraction stage and the identification stage. Parameters are extracted and used in a closed-set text-independent speaker identification task. In this study the signals are pre-processed and … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 7,429 accessesView PDFCite
Research ArticleOpen accessIn the abstractEVENT-RELATED POTENTIALS EXTRACTION OF WORKING MEMORY USING WAVELET ALGORITHMSitiZubaidahMohd Tumari, Rubita Sudirman, Abdul Hamid AhmadThis study was designed to classify and determine the Event-Related Potentials (ERPs) signal pattern of normal children on visual response. Thirty-eight children aged between 10 to 12 years old were subjected to a two-phase computer-based assessment while their working memory activity was recorded using a Neurofax-EEG 9200 machine. For children, it is anticipated that some information can be lost when … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 6,801 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Multi-Cracks in the Gate Rotor Shaft Based on the Wavelet Finite Element MethodBin ZhaoIn order to have fault identification for the gate rotor shaft with multiple cracks effectively, the quantity identification method of the gate rotor shaft with multiple cracks based on wavelet finite element method is established and the frequency test of the gate rotor shaft based on blind source separation algorithm is analyzed. Firstly the wavelet finite element was established by … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 3 · 12 Sep 2013 · 7,270 accessesView PDFCite