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2011 2nd IEEE International Conference on signal and Image processing Applications, ICSIPA 2011

作者： Sajjadi, Mehdi Amirfattahi, Rassoul Ahmadzadeh, Mohammad Reza Saghafi, Mohammad Ali Digital Signal Processing Research Lab Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156-83111 Iran 43600 Bangi Selangor Malaysia

ISBN: (纸本)9781457702419

Brain CT images are very useful in diagnosis of cerebrovascular accidents (CVA). These images contain too many information. But most of the times, provided information is contaminated by noise and suffer from poor contrast. On the other hand, there are certain parts of the brain image that is really important to radiologist, while other image details are more or less confusing. This sparks the need for customized enhancement of brain CT images. Translation-invariant wavelet transform is being widely used in most of image processing tasks including image enhancement. This transform is calculated with a filter bank algorithm, called algorithme trous. In this paper we propose a filter bank structure similar to algorithme trous. This structure is more redundant and offers greater selectivity and flexibility to enhance desired features of brain CT images. © 2011 IEEE.

关键词： Filter banks

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The criterion of Korean written language, policy regulations of Korean language and the 21st century information technology standards

The criterion of Korean written language, policy regulations...

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2011 4th International Conference on on Intelligent Networks and Intelligent Systems, ICINIS 2011

作者： Xuan, Long-Yun Cui, Rong-Yi Lu, Shi-Dan Yanbian North-Asia Information Technology Institute Yanji China Intelligent Information Processing Lab. Department of Computer Science and Technology Yanbian University Yanji China

Criterion, standard and policy of Korean language have played a very important role as Autonomy regulations in many aspects, especially input standards of computer using Korean language. So it is very necessary to inv... 详细信息

ISBN: (纸本)9780769545431

关键词： Laws and legislation

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Uncertainty and feature selection in rough set theory

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6th International Conference on Rough Sets and Knowledge technology, RSKT 2011

作者： Liang, Jiye Key Lab. of Computational Intelligence and Chinese Information Processing of Ministry of Education School of Computer and Information Technology Shanxi University Taiyuan 030006 Shanxi China

ISBN: (纸本)9783642244247

In rough set theory, the uncertainty of granulation and efficient feature selection algorithms have attracted much attention in recent years. We focus on the review of several common uncertainty measures and the relationships among them. An efficient accelerator is developed to accelerate a heuristic process of feature selection. © 2011 Springer-Verlag.

关键词： Rough set theory

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Spiking neural P systems for arithmetic operations

Spiking neural P systems for arithmetic operations

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6th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011

作者： Zeng, Xiangxiang Song, Tao Pan, Linqiang Zhang, Xingyi Key Laboratory on Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Lab of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9780769545141

Recently, Gutiérrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices - spiking neural P systems (for short, SN P systems). However, the binary encoding mechanism used in their research looks like the encoding approach in electronic circuits, instead of the style of spiking neurons (in usual SN P systems, information are encoded as the time interval between spikes). In this work, three SN P systems are constructed as adder, subtracter and multiplier, respectively. In these devices, a number is inputted to the system as the interval of time elapsed between two spikes received by input neuron, the result of a computation is the time between the moments when the output neuron spikes. © 2011 IEEE.

关键词： Encoding (symbols)

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Comparison between DFT- and DWT-based speech/non-speech detection for adverse environments

Comparison between DFT- and DWT-based speech/non-speech dete...

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4th Annual International Conference on Advanced Technologies for Communications, ATC2011

作者： Pham, Tuan V. Kubin, Gernot Electronic and Telecommunication Engineering Dept. Danang University of Technology Danang Viet Nam Center of Excellence Danang University of Technology Danang Viet Nam Signal Processing and Speech Communication Lab. Graz University of Technology Graz Austria

ISBN: (纸本)9781457712043

The goal of this paper is to evaluate the wavelet/frequency-based voice activity detection (VAD) algorithms under harsh conditions. A new frequency-based speech classifier has been developed based on a single subband distance feature in cooperating with adaptive percentile filter. Experimental results in clean, noisy and reverberant environments are provided. Results show that: (i) the group of algorithms exploiting the subband power distance feature mostly outperforms the state-of-the-art VAD standardized for the G. 729 B, the ETSI AFE ES 202 050 in terms of classification measures;(ii) the robustness of the model-based VAD methods still holds in a completely mismatched reverberant environment. © 2011 IEEE.

关键词： Discrete wavelet transforms

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A Novel Lattice-Based Proxy Signature Scheme

A Novel Lattice-Based Proxy Signature Scheme

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Iranian Conference on Electrical Engineering

作者： Mohammad Beheshti Atashgah Mohsen Ajori Mahmoud Gardeshi Mohammad Reza Aref Research Center of Intelligent Signal Processing (RCISP) Sepehr S. T. Co. Ltd. Department of Electrical & Computer Engineering Imam Hossein University (IHU) Information Systems and Security Lab (ISSL) EE Department Sharif University of Technology

ISBN: (纸本)9781467311496

In a proxy signature scheme, an original signer delegates his/her signing capability to a proxy signer and then the proxy signer can sign messages on behalf of the original signer. The security of many proxy signature schemes that have been proposed depends, either directly or indirectly, on either the difficulty of big integers factoring problem or the difficulty of finding discrete logarithm in a finite group. These types of schemes cannot resist quantum attacks. In this paper, we propose a new lattice-based proxy signature scheme which can resist quantum attacks. The proposed scheme is based on the GGH-signature scheme and also satisfies all the security requirements of proxy signature schemes.

关键词： Proxy signature Lattice GGH signature scheme Babai's algorithm

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A SAR image segmentation algorithm based on multi-mode distribution

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Yuhang Xuebao/Journal of Astronautics 2011年第4期32卷 879-887页

作者： Yin, Kui-Ying Liu, Hong-Wei Jin, Lin Wang, Ying-Hua National Lab. of Radar Signal Processing Xidian University Xi'an 710071 China Nanjing Research Institute of Electronics Technology Nanjing 210039 China

In SAR image, the different scattering mechanisms of target, background clutter and target shadow are different, thus resulting in their different statistical characteristics. By analyzing their respective imaging characteristics, different statistical models are developed to describe the three components. Then a multi-mode distribution SAR image segmentation algorithm based on a combination of the three models is proposed. For the target and shadow segmentation, different pre-processing methods are adopted. A fast one-dimensional Otsu algorithm is proposed to segment target from background clutter;and a SAR image enhancement algorithm based on the background mean-preserving shock filter is proposed to segment shadow from background clutter. Experimental results show that, compared with traditional segmentation algorithms based on the single-mode distributions, this multi-mode distribution segmentation algorithm can make better use of the statistical characteristic differences of the three components, thus obtaining higher segmentation accuracy and better practicability.

关键词： Synthetic aperture radar

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A novel neural network optimized by quantum genetic algorithm for signal detection in MIMO-OFDM systems

A novel neural network optimized by quantum genetic algorith...

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IEEE Symposium on Computational Intelligence in Control and Automation

作者： Li, Fei Zhou, Min Li, Haibo Institute of Signal Processing and Transmission Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China Department of Applied Physics and Electronics Umeå University Umeå Sweden

ISBN: (纸本)9781424499038

Neural networks can easily fall into a local extremum and have slow convergence rate. Quantum Genetic Algorithm (QGA) has features of small population size and fast convergence. Based on the investigation of QGA, we propose a novel neural network model, Radial Basis Function (RBF) networks optimized by Quantum Genetic Algorithm (QGA-RBF model). Then we investigate the performance of the proposed QGA-RBF on solving MIMO-OFDM signal detection problem. A novel signal detector based on QGA-RBF for MIMO-OFDM system is also proposed. The simulation results show that the proposed detector has more powerful properties in bit error rate than QGA based detector, RBF based detector and MMSE algorithm based detector, namely a 4-6 dB gain in performance can be achieved. The performance of the proposed detector is closer to optimal, compared with the other detectors. © 2011 IEEE.

关键词： Orthogonal frequency division multiplexing

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Defining a new measure for synchronization of multichannel epileptic depth-EEG signals based on identification of parameters of a computational model

Defining a new measure for synchronization of multichannel e...

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2nd International Conference on Computational Bioscience, CompBio 2011

作者： Shayegh, Farzaneh Amirfattahi, Rasoul Sadri, Saeed Ansari-Asl, Karim Saraaee, Mohammad H. Digital Signal Processing Lab Department of Electrical and Computer Engineering Isfahan University of Technology 84156-83111 Isfahan Iran Electrical Department Engineering Faculty Shahid Chamran University of Ahvaz Ahvaz Iran

ISBN: (纸本)9780889868892

There are various methods to measure the value of synchronization of signals. These methods usually do not consider the sources of the signals. Therefore, these methods usually underestimate the coupling phenomena of the sources of the system that generate the signals. The efficiency of these methods depends mainly on the signals, e.g. whether narrow or broad band. But, according to the system equations or at least equations of an appropriate model of the signals, which also consider the sources and the coupling between them, the estimation of the synchronization values would be more accurate. In this paper we represent an approach to obtain the values of synchronization of some synthetic depth-EEG signals according to their relevant state-space equations. The signals under study are produced by a multi-channel model of epileptic EEG signals. The approach is based on identification of the underlying physiological parameters relevant to each channel of EEG signals. Accordingly, the values of coupling of each two signals then are computed through an optimization process and are used as a measure of synchronization. Results show that the proposed algorithm outperforms the nonlinear correlation coefficient (h2), Pearson correlation coefficient (R2) and mean phase coherence methods that up to now are found to be the most efficient algorithms. Since the implied model can be taken as a model of real depth-EEG signals, the proposed algorithm will be useful in obtaining the synchronization of different areas of the hippocampus.

关键词： Synchronization

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Evaluation of some physiological statements about seizure, using processing of epileptic EEG signals

Evaluation of some physiological statements about seizure, u...

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作者： Shayegh, F. Amirfattahi, R. Sadri, S. Ansari-Asl, K. Digital Signal Processing Lab Department of Electrical and Computer Engineering Isfahan University of Technology 84156-83111 Iran Electrical Department Engineering Faculty Shahid Chamran University Ahvaz Iran

ISBN: (纸本)9789644634284

Seizure genesis is usually attributed to imbalance of the excitation and inhibition activities of neurons. It is claimed that slow inhibition mechanism is responsible for controlling the variations of the excitation mechanism, and any deficiency in this function will lead to disturbance of their natural balance. Fast inhibition mechanism is also known to collab.rate with slow inhibitory processes. Any proof about the excitation and inhibition mechanisms refers to the ex-vivo or in-vitro experiments, i.e. from the microscopic point of view. Up to now, there is not a straight road into evaluating these hypotheses from the macroscopic view. In this paper we try to interpret the excitation-inhibition sequences extracted from some depth-EEG signals through an identification-based procedure. The aim is to check out whether the statements gained from microscopic observations are re-established in population of neurons in the case of MTLE or not. Using Neyman-Pearson hypothesis test technique we try to answer these questions. We observe that even in population of neurons slow inhibition is responsible for compensating excitatory processes to balance inhibitory /excitatory ratio, such that when it is impaired causes seizures to arise;also the average fast inhibitory process of population of neurons follows its slow inhibition dynamics. Also, we check the differentiation of the excitation-inhibition ratio between normal and ictal states, as well as between normal and pre-ictal states. Ictal activity is properly a state of abnormal high excitation-inhibition ratio but before beginning of seizures there are not unique patterns. © 2011 AmirKabir Univ of Tech.

关键词： Neurons

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