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QEEG-based classification with wavelet packet and microstate features for triage applications in the ER

QEEG-based classification with wavelet packet and microstate...

引用

31st IEEE International conference on Acoustics, Speech and signal processing

作者： Prichep, Leslie S. Causevic, Elvir Coifman, Ronald R. Isenhart, Robert Jacquin, Arnaud John, E. Roy Maggioni, Mauro Warner, Frederick J. NYU Sch Med Dept Psychiat New York NY 10012 USA

ISBN: (纸本)9781424404681

We describe methods for the classification of brain state using quantitative analysis of the EEG (QEEG). Neurometric analysis of EEG collected from the 19 standard locations of the International 10-20 System already provides such a tool. In this work we demonstrate the effectiveness of this approach when the available inputs are reduced to a set of five frontal electrodes. This system has applications in certain critical clinical care situations, such as emergency room triage, when a full EEG might be unavailable, inconvenient, or time-consuming. Additionally, we augment the standard neurometric QEEG analysis with local discriminant basis features of the power spectrum and microstate-like features which exploit the rich temporal structure of the EEG. These enhancements provide clear gains in sensitivity and specificity on a representative database.

关键词： image classification

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A comparison of wavelet multiresolution analysis and scale-space edge detection for lithography metrology

A comparison of wavelet multiresolution analysis and scale-s...

引用

conference on wavelet applications in Industrial processing IV

作者： Midoh, Yoshihiro Nakamae, Koji Fujioka, Hiromu Osaka Univ Dept Informat Syst Engn Grad Sch Engn 2-1 Yamadaoka Suita Osaka 5650871 Japan Fukui Univ Technol Dept Management & Informat Sci Fukui 9108505 Japan

ISBN: (纸本)9780819464811

We compared performance between the wavelet multiscale edge detection and the scale-space edge detection methods for lithography metrology. First, in order to determine a suitable wavelet, we evaluated the edge detection performance of the wavelet multiscale edge detection method with various types of wavelet families where a modeled SE signal of photoresist with shot noise was used. From the measurement results of average line widths and line edge roughnesses (LERs), the first-order derivative Gaussian wavelet was determined to be the suitable one for the measurement from SE signals of photoresist. Next, the performances were compared. As to the LER measurement, the difference between the two methods was little. However, for average line widths, the wavelet multiscale edge detection method had better performance than the scale-space edge detection method when SNR was lower than 5. Lastly, we applied the two methods to a noisy SEM image of photoresist. The wavelet multiscale edge detection method gave almost the same line width roughness as that of the scale-space edge detection method, though the former took a longer processing time. By setting the wavelet scale space properly, the processing time can be reduced.

关键词： edge detection wavelet analysis line edge roughness lithography Gaussian scale-space SEM

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A new video coding based on 3D wavelet transform

A new video coding based on 3D wavelet transform

引用

6th International conference on Intelligent Systems Design and applications (ISDA 2006)

作者： Nian, Yongjian Wu, Lehua He, Shibiao Gu, Yongjun Chongqing Commun Inst Key Lab Signal & Informat Proc Chongqing 400035 Peoples R China

ISBN: (纸本)0769525288

In recent years, wavelet-based video coding schemes have attracted considerable attention in the image coding community. In this paper, a new algorithm of three-dimensional wavelet transform (3D-WT) for video coding is presented. The main difference between it and the traditional 3D-WT algorithm is temporal decomposition. The proposed algorithm performs the temporal decomposition of a video sequence in a more efficient way, which is on the basis of several groups separated from the original video sequence. The requirements of processing memory for the proposed algorithm is also analyzed and compared with that of the traditional algorithm. Experimental results show that the proposed algorithm exhibits lower memory demands and better performance of video coding than the traditional 3D-WT algorithm.

关键词： image coding

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Redundant wavelet transform in video signal processing

Redundant wavelet transform in video signal processing

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2006 International conference on image processing, Computer Vision, and Pattern Recognition, IPCV'06

作者： Cui, Suxia Wang, Yonghui Department of Engineering Technology Prairie View A and M University Prairie View TX 77446 United States

ISBN: (纸本)9781932415957

In this paper, the authors conduct a review on redundant wavelet transform (RDWT) in video signal processing. As an over-complete version of discrete wavelet transform (DWT), RDWT provides several advantages over the traditional DWT. In video coding area, we utilize its shift-invariant property and its phase-diverse multihypothesis, which are not provided by DWT, to build high performance video coding system. While in video watermarking area, the RDWT provides a more accurate estimation on locations where watermarks can be embedded. Thus, using RDWT, we can embed more watermarks than DWT approach without harming the non-perceivable requirement. After exploring several successful applications in video coding and video watermarking areas, the authors give a discuss on some future issues.

关键词： Discrete wavelet transforms

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wavelet-based multiscale level-set curve evolution in noise reduction for MR Imaging

Wavelet-based multiscale level-set curve evolution in noise ...

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Medical Imaging 2006 conference

作者： Zhong, Junmei Dardzinski, Bernard Wansapura, Janaka Cincinnati Childrens Hosp Med Ctr Imaging Res Ctr 3333 Burnet AveML5031 Cincinnati OH 45229 USA

ISBN: (纸本)0819464236

In magnetic resonance (MR) imaging, there is a tradeoff between the spatial resolution, temporal resolution and signal to noise ratio (SNR). MR images usually suffer from low SNR and low resolutions. In order to make it practical for MR imaging with higher resolutions as well as sufficient SNR, it is necessary to reduce noise efficiently while preserving important image features. In this paper, we propose to use the wavelet-based multiscale level-set curve evolution algorithm to reduce noise for MR imaging. Experimental results demonstrate that this denoising algorithm can significantly improve the SNR and contrast to noise ratio (CNR) for MR images while preserving edges with good visual quality. The denoising results indicate that in MR imaging applications, we can almost doubly improve the temporal resolution or improve the spatial resolution while achieving sufficient SNR, CNR, and satisfactory image quality.

关键词： Denoising signal to noise ratio Magnetic resonance imaging Spatial resolution image resolution wavelet transforms Temporal resolution image quality image acquisition wavelets

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On local computation of wavelet coefficients in the dual-tree CWT

On local computation of wavelet coefficients in the dual-tre...

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40th Asilomar conference on signals, Systems, and Computers, ACSSC '06

作者： El-Shehaby, Iman A. Tran, Trac D. DSP Laboratory ECE Department Johns Hopkins University

ISBN: (纸本)1424407850

The dual-tree complex wavelet (DT CWT) was introduced to overcome the disadvantages of the traditional fully decimated discrete wavelet transform (DWT), namely the shift-variance and the poor directional selectivity. Because of its desirable properties, the dual-tree has been successful in many image processing applications. However, its use in data compression has been hindered because of its redundancy. Our goal is to be able to predict the wavelet coefficients of one tree knowing those of the other tree. The proposed method is based on exploiting the orthogonality properties of one of the nicest dual-tree designs, the Q-shift complex wavelets.

关键词： Discrete wavelet transforms

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Three dimensional face recognition using wavelet decomposition of range images

Three dimensional face recognition using wavelet decompositi...

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14th IEEE International conference on image processing, ICIP 2007

作者： Sina, Jahanbin Hyohoon, Choi Bovik, Alan C. Castleman, Kenneth R. Laboratory for Image and Video Engineering University of Texas Austin TX United States Advanced Digital Imaging Research LLC 2450 S. Shore Blvd. League City TX United States

ISBN: (纸本)1424414377

Interest in face recognition systems has increased significantly due to the emergence of significant commercial opportunities in surveillance and security applications. In this paper we propose a novel technique to extract features from 3D face representations. In this technique, first the nose tip is automatically located on the range image, then the range data from a hexagonal region of interest around this landmark is decomposed using Barycentric wavelet kernels. The dimensionality of the extracted coefficients at each resolution level is reduced using principal component analysis (PCA). These new features are tested on 206 range images, and a high classification accuracy is achieved using a small number of features. The obtained accuracy is competitive to that of other techniques in literature. © 2007 IEEE.

关键词： wavelet decomposition

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An efficient and highly parallel hyperspectral imagery compression scheme based on distributed source coding

An efficient and highly parallel hyperspectral imagery compr...

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40th Asilomar conference on signals, Systems, and Computers, ACSSC '06

作者： Cheung, Ngai-Man Ortega, Antonio Signal and Image Processing Institute Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA United States

ISBN: (纸本)1424407850

This paper extends our previous work on hyperspectral imagery compression based on distributed source coding (DSC). We apply DSC principles to facilitate efficient parallel encoder implementations with moderate memory requirement. Based on our previously proposed wavelet-based DSC framework, we propose a novel adaptive coding scheme that judiciously combines DSC and intra coding tools, taking into account the source statistics and inter-band correlation, as well as the coding gains and limitations imposed by tools. Bits extracted from wavelet coefficients tend to have different statistics and inter-band correlation at different significance levels and in different wavelet subbands. Therefore, it is non-trivial to determine the optimal coding strategy. Toward this we propose modeling techniques to estimate the performance of DSC/intra coding under different bits extraction scenarios. This model is used to define adaptive coding strategies that can optimally incorporate different bit-extraction techniques with DSC/intra coding tools according to the bit significance levels and wavelet subbands. Experimental results demonstrate that adaptive coding can achieve up to 4dB improvement over a non-adaptive system, and the improved DSC-based system is comparable to some 3D wavelet system in terms of coding performance. While we focus on hyperspectral images in this paper, many of the proposed techniques are applicable to other wavelet-based DSC image and video applications.

关键词： image coding

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Architecture of a real-time wavelet transform calculation SoPC core for industrial applications

Architecture of a real-time wavelet transform calculation So...

引用

IECON 2006 - 32nd Annual conference on IEEE Industrial Electronics

作者： Arias, Jagoba Lázaro, Jesús Astarloa, Armando Jiménez, Jaime Bidarte, Unai University of the Basque Country Department of Electronics and Telecommunications Alda. Urquijo s/n 48013 Bilbao Spain

ISBN: (纸本)1424401364

The wavelet transform has found application in a large range of fields, from image processing to communications. This paper describes the design and implementation of a core for the calculation of the wavelet transform of an incoming signal. This core mya be connected to other similar cores to perform higher level wavelet transform. Due to its flexibility, the circuit desribed in this paper may be inserted in a SoPC, thus building a digital system, which is able to calculate this rather complex operation in real time, using the hardware resources of a low cost FPGA, leaving the results available for the rest of cores present in the SoPC. The data processing results achieved with this core implementation allow the calculation of the wavelet transform even for high speed signals and the possibility of including this core into a SoPC enables higher level operations, such as data compression, pulse detections, etc. © 2006 IEEE.

关键词： wavelet transforms

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Hyperspectral feature classification with alternate wavelet transform representations

Hyperspectral feature classification with alternate wavelet ...

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conference on Mathematics of Data/image Pattern Recognition, Compression and Encryption with Application IX

作者： Scholl, James F. Hege, E. Keith Lloyd-Hart, Michael Dereniak, Eustace L. Univ Arizona Coll Opt Sci 1630 E Univ Blvd Tucson AZ 85721 USA MKS Imaging Technol LLC Tucson AZ 85718 USA Univ Arizona Dept Astron Steward Observ Tucson AZ 85721 USA

ISBN: (纸本)0819463949

The effectiveness of many hyperspectral feature extraction algorithms involving classification (and linear spectral unmixing) are dependent on the use of spectral signature libraries. If two or more signatures are roughly similar to each other, these methods which use algorithms such as singular value decomposition (SVD) or least squares to identify the object will not work well. This especially goes for these procedures which are combined with three-dimensional discrete wavelet transforms, which replace the signature libraries with their corresponding lowpass wavelet transform coefficients. In order to address this issue, alternate ways of transforming these signature libraries using bandpass or highpass wavelet transform coefficients from either wavelet or Walsh (Haar wavelet packet) transforms in the spectral direction will be described. These alternate representations of the data emphasize differences between the signatures which lead to improved classification performance as compared to existing procedures.

关键词： wavelet transforms wavelet packets hyperspectral signal processing remote sensing classification

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