CONTINUOUS WAVELET TRANSFORM

JNERJOURNAL OF NEUROENGINEERING AND REHABILITATIONAlves and Chau Journal of NeuroEngineering and Rehabilitation 2010, 7:22http://www.jneuroengrehab.com/content/7/1/22Open AccessRESEARCH© 2010 Alves and Chau; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of t[r]

domain methods, subap erture methods, and superresolutionmethods have been applied to obtain the time-varying spec-trum in the hope of enhancing image resolution. How-ever, none of them completely resolved the blurring prob-lem. With the intention of obtaining focused ISAR image,Chen et al. introduc[r]

center of the frequency window, we would have to vary the window function used,or even consider using multiple window functions. There are many ways to tacklethis problem, and the technique we employ will be emphasized in Section 1.4,where we will introduce a modulation term to the window function i[r]

Hindawi Publishing CorporationEURASIP Journal on Applied Signal ProcessingVolume 2006, Article ID 74145, Pages 1–7DOI 10.1155/ASP/2006/74145Concept of Complex-Valued Parametric Pulse ModelsKlaus Pourvoyeur,1Andreas Stelzer,2and Gerald Oßberger11Linz Center of Mechatronics GmbH, Altenberger Straße 69[r]

Hindawi Publishing CorporationEURASIP Journal on Advances in Signal ProcessingVolume 2007, Article ID 38916, 10 pagesdoi:10.1155/2007/38916Research ArticleWavelet-Based Algorithm for Signal AnalysisNorman C. F. Tse1andL.L.Lai21Division of Building Science and Technology, City University of Hong Kong[r]

, t 3 0. One consequence is that the local regularityof sample paths is no longer uniform but depends on t. A class of processes calledmultifractional Brownian motion has been proposed [56], which satis®es such aproperty, with h being a continuous function of t. As detailed in Flandrin andGon[r]

epartement´Electronique et Physique, Institut National des T´el´ecommunications, 9 rue Charles Fourier,91011 Evry, FranceReceived 1 May 2006; Revised 9 October 2006; Accepted 20 November 2006Recommended by William Allan SandhamThis work aims at providing new insights on the electrocardiogram (ECG) s[r]

aim at building a complete codec that can provide similarperceptual quality as other algorithms but with a higher com-pression ratio. Additionally, we also want to provide the flex-ibility in image transmission with embedded bit streams andthe region-of-interest enhancement that is often of interesti[r]

time discrete-frequency plane. The first is the identity basis, which has narrow vertical strips as tiles,since the basis sequences δ(n + k) are perfectly localized in time, but have energy spread equally atall discrete frequencies. That is, the tile is one discrete-time point wide and 64 discrete-fr[r]

The life-detection system can be used to search living objectsafter the earthquake and building collapse, also to monitorpatients in clinic without contacting the subjects. In addi-tion, it can be used by law-enforcement services to searchcriminals hiding behind various covers. The life detectionbas[r]

8. Conclusion In this book chapter we have described the BDWT constructions especially tailored for VLSI environment. Most of the VLSI designs in the literature are focused on the biorthogonal 9/7 filters, which have decimal coefficients and usually implemented using the lifting scheme (Sweldens, 1[r]

data. The current development of the CCSDS (ConsultativeCommittee for Space Data Systems, which gathers expertsfrom different space agencies as NASA, ESA, and CNES) isoriented toward zerotrees principles [6] because JPEG2000suffers from implementation difficulties as described in [7](in the context of i[r]

Recently, with advances in data compression and VLSI (very large scale integrated) techniques,the data compression techniques have been extensively applied to video signal compression. Videocompression techniques have been under development for over 20 years and have recently emergedas the core enab[r]

wavelet transform half-band filtered scaling coefficients introduce no aliasing when they are fed to the next scale. This is an essential feature when the frequency components in each scale are considered, for example in electroencephalography analysis. The VLSI design of the BDWT filt[r]

a region, we have to apply a moving window along thesequence. Of course, the better the location informationwe have, the worse the frequency resolution we get andvice versa. As a result, in order to obtain more accurateinformation in both frequency and location aspects, weprocess the signals using s[r]

cally developed to compress fingerprint images. Other compression methods that employthe wavelet transform can be found in [Salomon 07].Most of us may not realize it, but fingerprints are “big business.” The FBI startedcollecting fingerprints in the form of inked impressions on paper card[r]

the resulting PSNR: (a) 1%, 21.38 dB, (b) 5%, 23.72 dB, (c) 15%, 25.73 dB, (d) 25%, 28.27 dB, (e) 50%, 32.15 dB, ( f) 100%, lossless.of the reconstructed image of the lowest possible resolution,that is, in Figure 12(a). The soldier will look for the target im-age Map2 in Figure 13, and will keep pro[r]

cameras in close proximity to the plate (Wu et al., 2009). An interesting algorithm is proposed by Roomi (Roomi et al., 20011) that consists of two main modules, one for the rough detection of the region of interest (ROI) using vertical gradients and another for the accurate localisation of vertical[r]

Hindawi Publishing CorporationEURASIP Journal on Applied Signal ProcessingVolume 2006, Article ID 69042, Pages 1–11DOI 10.1155/ASP/2006/69042Facial Image Compression Based on StructuredCodebooks in Overcomplete DomainJ. E. Vila-Forc´en, S. Voloshynovskiy, O. Koval, and T. PunStochastic Image Process[r]

Since the Gabor wavelet transform of molecular images is relatively robust to intensity variations, a texture characterization method based on the Gabor filter bank is used to extract te[r]