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Block truncation signature coding for hyeprspectral analysis

Block truncation signature coding for hyeprspectral analysis

引用

Imaging Spectrometry XIII

作者： Chakravarty, Sumit Chang, Chein-I. Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 United States

ISBN: (纸本)9780819473066

This paper introduces a new signature coding which is designed based on the well-known Block Truncation Coding (BTC). It comprises of bit-maps of the signature blocks generated by different threshold criteria. Two new BTC-based algorithms are developed for signature coding, to be called Block Truncation Signature Coding (BTSC) and 2-level BTSC (2BTSC). In order to compare the developed BTC based algorithms with current binary signature coding schemes such as Spectral Program Analysis Manager (SPAM) developed by Mazer et al. and Spectral Feature-based Binary Coding (SFBC) by Qian et al, three different thresholding functions, local block mean, local block gradient, local block correlation are derived to improve the BTSC performance where the combined bit-maps generated by these thresholds can provide better spectral signature characterization. Experimental results reveal that the new BTC-based signature coding performs more effectively in characterizing spectral variations than currently available binary signature coding methods.

关键词： Managers

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Fast Blind Adaptive Channel Shortening Using signal Subspace

Fast Blind Adaptive Channel Shortening Using Signal Subspace

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Mahdi Karami Ali Olfat Signal Processing & Communication Systems Laboratory Department of Electrical and Computer Engineering University of Tehran Iran

In cyclic-prefixed communication systems, if the delay spread of the channel is longer than the cyclic prefix (CP) a channel-shortening equalizer (CSE) can be used to restore the desired operation of such systems. Since in time-varying environment we are interested in fast adaptive equalizer with tracking capability, the aim of this paper is to propose RLS-type algorithm for channel shortening. In this paper, we first propose an RLS-type algorithm to estimate the eigenvector corresponding to the smallest eigenvalue of a matrix and based on this algorithm we develop an RLS-type blind channel shortener. We also, based on PAST algorithm, propose an RLS-type update rule to shorten the channel under MMSE criterion. Simulations show the speed advantage of the proposed algorithms.

关键词： signal processing algorithms OFDM Nonlinear filters Equalizers Eigenvalues and eigenfunctions Finite impulse response filter signal processing Adaptive signal processing Laboratories Delay systems

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A pyramid-based block of skewers for pixel purity index for endmember extraction in hyperspectral imagery

A pyramid-based block of skewers for pixel purity index for ...

引用

作者： Chang, Chein-I Hsueh, Mingkai Liu, Weimin Wu, Chao-Cheng Chaudhry, Farzeen Solyar, Gregory Plaza, Antonio Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 United States Computer Science Department University of Extremadura Avda. de la Universidad s/n 10.071 Caceres Spain

Pixel Purity Index (PPI) has been widely used for endmember extraction. Recently, an approach using blocks of skewers was proposed by Theiler et al., called blocks of skewers (BOS) method, to improve computation of the PPI. It utilizes a block of skewers to reduce number of calculations of dot products operated by the PPI on each skewers with all data sample vectors. Unfortunately, the BOS method also suffers from the same drawbacks that the PPI does in terms of several parameters which are needed to be determined a priori. Besides, it also has an additional parameter, block size, B needed to be determined where no guideline is provided of how to select this parameter. In this paper, the BOS method is also investigated. Most importantly, a new pyramid-based block design for the BOS method is also introduced as opposed to the cube-based block designed used by Theiler et al.'s BOS. One major advantage of our proposed pyramid-based BOS over Theiler et al.'s cube-design BOS is the hardware design for Field Programmable Gate Arrays (FPGAs) implementation. © 2008 World Scientific Publishing Company.

关键词： Pixels

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Diversity-Fidelity Tradeoff in transmission of analog sources over MIMO fading channels

Diversity-Fidelity Tradeoff in transmission of analog source...

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Asilomar Conference on signals, Systems & computers

作者： Mahmoud Taherzadeh Kamyar Moshksar Amir K. Khandani Coding & Signal Transmission Laboratory Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada

In this paper, the theoretical limits on the asymptotic performance of joint source-channel coding over MIMO fading channels are investigated. Similar to the concept of diversity-multiplexing tradeoff (DMT) in digital MIMO systems, a new measure for the asymptotic high-SNR performance of MIMO source-channel codes is introduced, which is called diversity-fidelity tradeoff, and the optimal tradeoff is characterized. Also, the problem of constructing robust MIMO source-channel codes, which are not sensitive to the knowledge of the SNR, is investigated and a semi-robust scheme is proposed.

关键词： MIMO Fading Robustness Gaussian channels Wireless LAN Delay Digital-analog conversion Distortion measurement Laboratories OFDM modulation

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Joint angle tracking with inertial sensors

Joint angle tracking with inertial sensors

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Mahmoud El-Gohary Sean Pearson James McNames Department of Electrical and Computer Engineering Biomedical Signal Processing Laboratory Portland State University Portland OR USA

Many wearable inertial systems have been used to continuously track human movement in and outside of a laboratory. The number of sensors and the complexity of the algorithms used to measure position and orientation vary according to the clinical application. To calculate changes in orientation, researchers often integrate the angular velocity. However, a relatively small error in measured angular velocity leads to large integration errors. This restricts the time of accurate measurement to a few minutes. We have combined kinematic models designed for control of robotic arms with state space methods to directly and continuously estimate the joint angles from inertial sensors. These algorithms can be applied to any combination of sensors, can easily handle malfunctions or the loss of some sensor inputs, and can be used in either a real-time or an off-line processing mode with higher accuracy.

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Speech enhancement using a Kalman-based normalized LMS algorithm

Speech enhancement using a Kalman-based normalized LMS algor...

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International Symposium on Telecommunications, IST

作者： A. Mahmoodzadeh H. R. Abutalebi H. Agahi Signal Processing Research Laboratory Electrical Engineering Department Yazd University Yazd Iran Electrical and Computer Engineering Department University of Tehran Tehran Iran

This paper deals with the problem of Adaptive Noise Cancellation (ANC) for the speech signal corrupted with an additive white Gaussian noise. After explaining the least Mean Square (LMS)-based adaptive filter and Kalman filter, we examine the hybrid Kalman-based LMS (KLMS) technique for adaptation of the ANC. The proposed technique suggests a way to normalize LMS algorithm using Kalman filter. Our simulation shows that the KLMS method converges faster and is more stable compared to the LMS and its Normalized version, NLMS.

关键词： Artificial neural networks Least squares approximation Kalman filters Speech Speech enhancement Adaptive filters Noise

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Invariant 3D spharm features for characterizing fMRI activations in ROIs while minimizing effects of intersubject anatomical variability

Invariant 3D spharm features for characterizing fMRI activat...

引用

IEEE International Symposium on Biomedical Imaging

作者： Ashish Uthama Rafeef Abugharbieh Samantha J. Palmer Anthony Traboulsee Martin J. McKeown Department of Electrical and Computer Engineering Biomedical Signal and Image Computing Laboratory Department of Neurology University of British Columbia Vancouver Canada

Spatial patterns of activation statistics within anatomically-defined regions of interest (ROIs) in functional magnetic resonance imaging (fMRI) data were recently shown to be sensitive markers of brain activation changes. Most current methods that analyze fMRI activation statistics largely ignore this. The accuracy and validity of the prevalent approach of spatial normalization of functional data is also being debated. In this paper we present a novel spherical harmonics based rotational, translation and scale invariant feature representation of fMRI data which allows for direct quantification of activation patterns within ROIs without any need for spatial normalization. We also present a novel parallel technique for quantifying anatomical properties of the ROIs where we employ a principal component based approach to reduce the effects of anatomical variability in the ROI on functional pattern analysis. We validate our proposed method and demonstrate its improved sensitivity over conventional methods using real and simulated fMRI data.

关键词： Magnetic analysis Shape Statistics Magnetic resonance imaging Statistical analysis Magnetic resonance Scanning probe microscopy Biomedical computing Laboratories Nervous system

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Dynamic-list joint detection and decoding of LDPC-coded V-BLAST systems

Dynamic-list joint detection and decoding of LDPC-coded V-BL...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： Meng-Ying Tsai Shahram Yousefi Signal Design and Analysis Laboratory (SDAL) Department of Electrical and Computer Engineering Queen's University Kingston ONT Canada

关键词： Iterative decoding Detectors MIMO Transmitting antennas Parity check codes Costs Receiving antennas Amplitude modulation signal design signal analysis

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Fixed-complexity list-type iterative joint detection and decoding of LDPC-coded V-blast systems

Fixed-complexity list-type iterative joint detection and dec...

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Biennial Symposium on Communications, QBSC

作者： Meng-Ying Tsai Shahram Yousefi Signal Design and Analysis Laboratory SDAL Department of Electrical and Computer Engineering Queen's University Kingston ONT Canada

Soft iterative detection and decoding techniques have been shown to be able to achieve near-capacity performance in multiple antenna systems. To obtain the optimal soft information by marginalizing over the entire observation space is intractable: one must resort to suboptimal methods to implement such receivers. Although list-type detectors such as those founded upon the sphere decoding algorithm provide outstanding error performance, issues such as the optimal initial sphere radius, optimal radius update strategy, and their highly variable computational complexity are still unresolved. In this paper, a new detection scheme is proposed addressing the above issues. Our simulation results show that by sacrificing less than 2 dB at error rate of 10 -5 , we are able to gain up to 38.6% complexity reduction as well as a detector structure that is more suitable for practical system implementation.

关键词： Iterative decoding Detectors MIMO Parity check codes Interference cancellation Computational complexity Euclidean distance Costs Statistics signal processing

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Three-dimensional ISAR imaging based on antenna array

Three-dimensional ISAR imaging based on antenna array

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作者： Ma, Changzheng Yeo, Tat Soon Zhang, Qun Tan, Hwee Siang Wang, Jun IEEE School of Electric and Information Engineering Zhongyuan University of Technology Zhengzhou 450007 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Institute of Telecommunication Engineering Air Force Engineering University Xi'an 710071 China National Key Laboratory of Radar Signal Processing Xidian University Shaanxi 710071 China

In this paper, a 3-D inverse synthetic aperture radar (ISAR) imaging method based on an antenna array configuration is proposed. The performance of conventional interferometric ISAR imaging system using three antennas is poor, as the positions of scatterers, which have the same range-Doppler value and projected onto the ISAR plane as a synthesis scatterer, cannot be correctly estimated. However, by using two antenna arrays perpendicular to each other, the system's ability to separate these scatterers can be improved. The criterion for the selection of a range unit that contains an isolated scatterer in the 2-D array domain for doing motion compensation is discussed. If there is no range unit which contains only an isolated scatterer, then radial and cross-range motion compensation has to be carried out by motion parameter estimation. Two cross-range motion parameters measurement algorithms, one based on array processing of the range profile and another based on correlation of ISAR images of different antennas, are proposed. The coordinates registration problem for the scatterers of a synthesis scatterer is also discussed. Simulation results have shown the effectiveness of the proposed methods. © 2008 IEEE.

关键词： Synthetic aperture radar

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