8 results for “Filter Bank”

Set a search alert

Research ArticleOpen accessPhrase in the titleConfigurable Multirate Filter BanksAli Al-HajMultimedia communications require efficient and real-time implementations of multirate digital signal processing systems. The backbone structures of multirate systems are digital multirate filter banks. Therefore, efficient multimedia communications rely, in the first place, on real-time implementations of multirate filter banks. In this paper, we describe a Field Programmable Gate Array (FPGA) implementation of the analysis and synthesis filter banks which … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 6,379 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsA FRAMEWORK FOR MULTILINGUAL TEXT- INDEPENDENT SPEAKER IDENTIFICATION SYSTEMSundaradhas Selva Nidhyananthan, Ramapackiam Shantha Selva KumariThis article evaluates the performance of Extreme Learning Machine (ELM) and Gaussian Mixture Model (GMM) in the context of text independent Multi lingual speaker identification for recorded and synthesized speeches. The type and number of filters in the filter bank, number of samples in each frame of the speech signal and fusion of model scores play a vital role in … …Journal of Computer Science, Vol. 10, Issue 1 · 13 Nov 2013 · 7,274 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsMedical Image Compression Using Fuzzy C-Means Based Contourlet TransformM. Tamilarasi, V. PalanisamyProblem statement: To meet the demand for high speed transmission of image in efficient image storage and remote medical treatment, the efficient image compression is essential. The contourlet transform along with wavelet theory has great potential in medical image compression. Approach: The significant portion of the medical image applied with Fuzzy C-means based contourlet transform. DWT applied to the rest … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,082 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsA Novel Fast Computing Method for Framelet CoefficientsHadeel N. Al-TaaiThe relatively new field of framelets shows promise in removing some of the limitations of wavelets. Several applications have benefited from the use of frames, for example, denoising and signal coding. In this research, Fast 1D-2D Framlet Transform algorithm for computing advance transforms are proposed. For a 2D framelet transformation, the algorithm is applied in x-direction first and then in … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 6,675 accessesView PDF Cite

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 PDF Cite

Research ArticleOpen accessIn the abstractThe Human Facial Expression Classification Using the Center Kernel Subspace based the Ridge RegressionArif MuntasaThe facial expression classification has been implemented on many devices. However, many researchers have conducted the research to improve the classification rate. This research has developed the algorithm to enhance the classification rate on the facial expression field. The proposed method is divided into five primary processes, which are, the first, create the center kernel subspace-based the ridge regression. Secondly, … …Journal of Computer Science, Vol. 11, Issue 11 · 13 Jan 2016 · 6,798 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA New Speaker Recognition System with Combined Feature Extraction TechniquesM. G. Sumithra, K. Thanuskodi, A. Helen Jenifer ArchanaProblem statement: This study introduces a new method for speaker verification system by fusing two different feature extraction methods to improve the recognition accuracy and security. Approach: The proposed system uses Mel frequency cepstral coefficients for speaker identification and Modified MFCC for verification. For speaker modeling vector quantization is used. Results: The proposed system was investigated the effect of the … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,424 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Novel Detection and Classification Algorithm for Power Quality Disturbances using WaveletsC. Sharmeela, M. R. Mohan, G. Uma, J. BaskaranThis study presents a novel method to detect and classify power quality disturbances using wavelets. The proposed algorithm uses different wavelets each for a particular class of disturbance. The method uses wavelet filter banks in an effective way and does multiple filtering to detect the disturbances. A qualitative comparison of results shows the advantages and drawbacks of each wavelet when … …American Journal of Applied Sciences, Vol. 3, Issue 10 · 31 Oct 2006 · 6,632 accessesView PDF Cite