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114 results for “Wavelet transform”
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Research ArticleOpen accessIn the abstractA New Robust Hybrid Approach to Enhance Speech in Mobile Communication SystemsManimegalai Govindan Sumithra, Keppana Gounder Thanuskodi, Bharathi DeepaProblem statement: The received voice signal in mobile communication is often disturbed by background noise and hence there is a need for good noise reduction methods for enhancing Speech. It is well known that denoising is a compromise between the removal of the largest possible amount of noise and the preservation of signal integrity. To address this issue, a new … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 18 Apr 2011 · 7,299 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeasonal Time Series Data Forecasting by Using Neural Networks Multiscale Autoregressive ModelSuhartono, B. S.S. Ulama, A. J. EndhartaProblem statement: The aim of this research was to study further some latest progress of wavelet transform for time series forecasting, particularly about Neural Networks Multiscale Autoregressive (NN-MAR). Approach: There were three main issues that be considered further in this research. The first was some properties of scale and wavelet coefficients from Maximal Overlap Discrete Wavelet Transform (MODWT) decomposition, particularly … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuccessive Image Interpolation Using Lifting Scheme ApproachRohini S. Asamwar, Kishor Bhurchandi, A. S. GandhiProblem statement: Fast and accurate interpolation and resizing of images and video frames is a much sought after research area in multimedia applications. The more accurate schemes are computationally expensive and require more time for execution. We proposed here Discrete Wavelet Transform (DWT) using lifting scheme as an accurate and computationally inexpensive interpolation technique for image resizing. Approach: In this … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,573 accessesView PDFCite
Research ArticleOpen accessIn the abstractWave V Detection Using Instantaneous Energy of Auditory Brainstem Response SignalM. M. Rushaidin, Sh-Hussain Salleh, Tan Tian Swee et al.Problem statement: ABR machine is a well known machine that has been used on detection of hearing problem especially for babies or children. In ABR, wave V is the most prominent and robust wave that has been used as indicator of hearing loss. However, a fast detection of the wave V is necessary in order to implement newborn hearing screening. … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractWavelet-Based Geometry Coding for Three Dimensional Mesh Using Space Frequency QuantizationShymaa T. El-Leithy, Walaa M. ShetaProblem statement: Recently, 3D objects have been used in several applications like internet games, virtual reality and scientific visualization. These applications require real time rendering and fast transmission of large objects through internet. However, due to limitation of bandwidth, the compression and streaming of 3D object is still an open research problem. Approach: Novel procedure for compression and coding of … …Journal of Computer Science, Vol. 5, Issue 8 · 31 Aug 2009 · 6,603 accessesView PDFCite
Research ArticleOpen accessIn the abstractDigital Video Watermarking in the Discrete Cosine Transform DomainSadik Ali M. Al-Taweel, Putra Sumari, Saleh Ali K. Alomari, Anas J.A. HusainProblem statement: Nowadays, digital watermarks have recently become recognized as a solution for protecting copyright of the digital multimedia. For a watermark to be useful, it must be perceptually invisible and robust against any possible attack and image processing by those who seek to corsair the material, researchers have considered various approaches like JPEG compression, geometric distortions and noising. Approach: … …Journal of Computer Science, Vol. 5, Issue 8 · 31 Aug 2009 · 7,246 accessesView PDFCite
Research ArticleOpen accessIn the abstractGraph Based Segmentation in Content Based Image RetrievalP. S. Suhasini, K. S.R. Krishna, I. V.M. KrishnaProblem statement: Traditional image retrieval systems are content based image retrieval systems which rely on low-level features for indexing and retrieval of images. CBIR systems fail to meet user expectations because of the gap between the low level features used by such systems and the high level perception of images by humans. To meet the requirement as a preprocessing step … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractSkeleton Primitive Extraction Method on Textures with Different Nonlinear WaveletsV. V. Kumar, U. S.N. Raju, P. Premchand, A. SureshProblem Statement: A novel method for dominant skeleton extraction of textures using different nonlinear wavelet transforms is proposed in this study. In the present study 3×3 masks are used for extraction of skeleton primitives. For a 3×3 skeleton primitive there will be 29 skeleton primitive combinations. But the present study considered a skeleton primitive for the skeletonization purpose if and … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 6,808 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Speech Features on the Speech Recognition TaskIosif Mporas, Todor Ganchev, Mihalis Siafarikas, Nikos FakotakisIn the present work we overview some recently proposed discrete Fourier transform (DFT)- and discrete wavelet packet transform (DWPT)-based speech parameterization methods and evaluate their performance on the speech recognition task. Specifically, in order to assess the practical value of these less studied speech parameterization methods, we evaluate them in a common experimental setup and compare their performance against traditional … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Dec 2007 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Breast Cancer Diagnosis based on GVF-Snake Segmentation, Wavelet Features Extraction and Neural Network ClassificationAbderrahim Sebri, Jihène Malek, Rached TourkiBreast cancer accounts for the second most cancer diagnoses among women and the second most cancer deaths in the world. In fact, more than 11000 women die each year, all over the world, because this disease. The automatic breast cancer diagnosis is a very important purpose of medical informatics researches. Some researches has been oriented to make automatic the diagnosis … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 7,407 accessesView PDFCite