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Image and Signal Processing, 2008. CISP '08. Congress on

Date 27-30 May 2008

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  • [Front cover - Vol 5]

    Publication Year: 2008 , Page(s): C1
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  • [Title Page i - Volume 5]

    Publication Year: 2008 , Page(s): i
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  • [Title page iii - Volume 5]

    Publication Year: 2008 , Page(s): iii
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  • [Copyright notice - Volume 5]

    Publication Year: 2008 , Page(s): iv
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  • Table of contents - Volume 5

    Publication Year: 2008 , Page(s): v - xvi
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  • Preface - Volume 5

    Publication Year: 2008 , Page(s): xvii
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  • Organizing Committee - Volume 5

    Publication Year: 2008 , Page(s): xviii - xix
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  • list-reviewer

    Publication Year: 2008 , Page(s): xx - xxii
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  • Changes of Lactate Concentration in Ischemic Rat Brain after Sacrifice

    Publication Year: 2008 , Page(s): 3 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (286 KB) |  | HTML iconHTML  

    The purpose of this study was to explore the time course of cerebral lactate concentration in ischemic rat brain after sacrifice, in which area the morphology signal was still normal in the early phase. Ischemic rat model was used in this study. Eighty rats were fasted overnight before sacrifice and divided into 16 groups randomly. Lactate concentration was measured by using LD kit. Results showed that lactate reached the highest level rapidly during 20sec to 40 seconds and the mean peak value was 4.06 mmol/100g wet weight at the 20sec point. After 40 seconds, lactate declined gradually and then kept in high level after 3 minutes. The experiment indicated that lactate was observed as the main substrate and indicator of ischemia in early phase of the ischemic rat brain. Twenty-second may be the time threshold of the ischemia neurons to start using lactate as energy resource. View full abstract»

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  • Compressive Sampling of Binary Images

    Publication Year: 2008 , Page(s): 7 - 11
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (234 KB) |  | HTML iconHTML  

    Compressive sampling is a novel framework that exploits sparsity of a signal in a transform domain to perform sampling below the Nyquist rate. In this paper, we apply compressive sampling to reduce the sampling rate of binary images. A system is proposed whereby the image is split into non-overlapping blocks of equal size and compressive sampling is performed on selected blocks only using the orthogonal matching pursuit technique. The remaining blocks are sampled fully. This way, the complexity and the required sampling time is reduced since the orthogonal matching pursuit operates on a smaller number of samples, and at the same time local sparsity within an image is exploited. Our simulation results show more than 20% saving in acquisition for several binary images. View full abstract»

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  • 3-D Baseline Error Estimation for Distributed Small Satellites Based on Image Registration

    Publication Year: 2008 , Page(s): 15 - 18
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (362 KB) |  | HTML iconHTML  

    In distributed small satellites, the existence of the baseline error will affect the realization of the three functions: synthetic aperture radar imaging, ground moving target indication and altitude measure. A new 3-D baseline error estimation method for distributed small satellites is proposed in this paper. This method separates the along-track baseline and the cross-track baselines through image registration and estimates the two kinds of baseline error respectively. The effect that the correlative factors have on the estimation precision is also analyzed. Finally, its validity is testified through computer simulations. View full abstract»

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  • A Method Research on Orientation Estimation of Gas Signal Source Using Dual-Line Array

    Publication Year: 2008 , Page(s): 19 - 23
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (288 KB) |  | HTML iconHTML  

    For application researches of the detection for the gas signal source, a method for orientation estimation of the gas signal source in the two-dimensional space and its algorithm are presented in the paper. In the method, a mode of dual-line gas sensor array is applied to sample the signals of the gas concentration in real time, and the time delay estimation, an approach of the signal processing, is used to establish an algorithm for performing the orientation estimation of the gas signal source. Furthermore, the simulations of the method are drawn, which indicates that the method has fine veracity and robustness for estimating the orientation of the gas signal source. View full abstract»

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  • A Novel Method for Fast Estimating the Number of Wideband Sources

    Publication Year: 2008 , Page(s): 24 - 28
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (350 KB) |  | HTML iconHTML  

    Estimating the number of sources impinging on an array of sensors is a well known and well investigated problem. Based on the rotational invariance property between two identical subarrays, using the Lanczos algorithm to fast compute the analysis filterbank of multi-stage wiener filter, a novel method for fast estimating the number of wideband sources is proposed in this paper. Unlike the traditional number estimator, the new method does not require an estimate of the covariance matrix or its eigen-decomposition, so it avoids computationally intensive eigen-decomposition and the complexity is greatly decreased. The computer simulations show the availability and efficacy of the method. View full abstract»

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  • A Novel Near-Field Localization Method Based on Second Order Statistics

    Publication Year: 2008 , Page(s): 29 - 33
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (358 KB) |  | HTML iconHTML  

    The bearing and range estimation of near-field sources is studied and a novel method is presented. In our proposed algorithm the second-order statistics was used to estimate bearing of near-field sources. By exploiting the Toeplitz property of covariance matrix of far-field sources, we reconstruct a far-field approximate covariance matrix with respect to bearing only for near-field sources, which allows for the bearing estimation using the generalized far-field root MUSIC algorithm. The range estimation of all sources is consequently obtained in one time search by defining a novel 1-D MUSIC spectrum. The method has the merits of good estimation precision and its effectiveness is approved by the simulation results. View full abstract»

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  • A Robust Adaptive Beamformer for Multi-path Signal Reception

    Publication Year: 2008 , Page(s): 34 - 38
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (249 KB) |  | HTML iconHTML  

    A robust adaptive beamformer with new constraints on the array response is proposed to avoid signal cancellation in the environment where multi-path signals exist. The robustness is achieved by forcing the magnitude response of the desired signal and its multi-path signals exceeding unity in the presumed clusters while minimizing the output power. In this way, the desired signal is conbined with its multi-path signals rather than cancelled by them as in the conventional beamformer. Computer simulations verify the effectiveness of the proposed method. View full abstract»

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  • A Topology Control Algorithm with Respect to Dynamic Spectrum Management in Wireless Video Sensor Network

    Publication Year: 2008 , Page(s): 39 - 43
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (372 KB) |  | HTML iconHTML  

    Dynamic spectrum management (DSM) is a key feature for enhancing cooperation in wireless video sensor network (WVSN) towards supporting communication of high data-rate video information. Unlike traditional spectrum allocation, DSM in WVSN should have topology control and distributed control center. In this paper, we propose an ILST algorithm for constructing distributed DSM topology control with the use of information locally collected. Theoretical analysis and simulation results show that the proposed algorithm has low complexity and fast convergent speed, and is valuable on constructing distributed DSM topology  in WVSN. View full abstract»

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  • Cooperative Differential Space-Time Transmission Scheme for MIMO Relay Networks

    Publication Year: 2008 , Page(s): 44 - 48
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (337 KB) |  | HTML iconHTML  

    In this paper, we develop a new cooperative differential space-time transmission scheme for multiple-input multiple-output (MIMO) relay networks with partial channel state information (CSI). We propose an adaptive selection amplify-and-forward (AF) protocol which is combined with selection combining and antenna selection. Differential space-time coding is employed at the transmitter when the CSI is imperfect at the receiver. And maximum likelihood differential detection is derived. Simulation results show that the proposed scheme achieves higher diversity gain and better bit-error rate (BER) performance compared with the traditional point-to-point MIMO scheme with the same number of transmit and receive antennas and the equal power efficiency and spectral efficiency. View full abstract»

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  • Detection Performance of MIMO Radar for Coherent Pulses

    Publication Year: 2008 , Page(s): 49 - 53
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (349 KB) |  | HTML iconHTML  

    The detection performance of spatial diversity multiple-input multiple-output (MIMO) radar for Swerling I and Swerling II target is analyzed based on coherent pulses. The detection method provides an unified frame for conventional radar and the MIMO radar. Simulation results demonstrate that MIMO radar can get better detection performance when more coherent pulses is used. In contrast with conventional radar, the detection performance of MIMO radar in Swerling I target outperforms Swerling II target. View full abstract»

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  • Estimation DOAs of the Coherent Sources Based on Toeplitz Decorrelation

    Publication Year: 2008 , Page(s): 54 - 58
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (372 KB) |  | HTML iconHTML  

    In this paper, a novel method based on Toeplitz decorrelation is proposed to estimate DOAs (direction of arrivals) of the coherent sources. Using the eigenvector corresponding to the largest eigenvalue obtained from the received data covariance matrix, the presented method constructs a new Toeplitz matrix whose rank is equal to the number of sources. The presented method fully uses the property of the eigenvector corresponding to the largest eigenvalue to estimate coherent sources. This approach doesn't lose the array aperture and can estimate more coherent sources without spatial smoothing and weighting. In comparison with the conventional decorrelation algorithms, the method offers better estimation performance for coherent sources, especially at low SNR. Theoretical analyses and simulation experiments demonstrate the effectiveness of the proposed method for estimation DOAs of the coherent sources. View full abstract»

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  • Optimum Beamforming Based on Second Order Cone Programming

    Publication Year: 2008 , Page(s): 59 - 62
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (394 KB) |  | HTML iconHTML  

    An approach based on second order cone programming (SOCP) is proposed to the optimum beamforming of non-uniform linear array (NULA). The approach designs the optimum beamforming according to control sidelobe and improves the problem that the Chebychev methods can only be used in the optimum beamforming of uniform linear array(ULA). The GUI(graphical user interfaces) of the MATLAB is applied to computer simulation program ,we can choose the value of the key parameter. The application of GUI make the result practical and efficient. View full abstract»

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  • Phase Aberration Correction of Ultrasonic Phased Array Signals

    Publication Year: 2008 , Page(s): 63 - 66
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (426 KB) |  | HTML iconHTML  

    By properly adjusting the time delays, phased arrays can dynamically phase-steer and focus the ultrasonic beams. But phase aberration due to perturbation of system and materials degrade ultrasound performance by disrupting the ultrasound beam focus. Such phase aberration exists both in phased array transmission and reception focusing procedure. Currently, phase correction methods are implemented by adjusting the electronic phase delays used to steer and focus the ultrasound beam. In this article, time reversal method, take advantage of the invariance of the wave equation in a lossless medium under a time reversal operation, is proposed to correct the phase aberration. It is suggested to be implemented in reception focusing process instead of transmission focusing process. The correction experiments are applied to the signals obtained from defect in a specimen in ultrasonic phased array non-destructive testing. Correction results show that time reversal method has good phase correction capacity and super performance in terms of high resolution, contrast and signal-to-noise ratio. View full abstract»

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  • Spacial Localization in Wireless Sensor Networks Based on Beacon Selection

    Publication Year: 2008 , Page(s): 67 - 70
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (287 KB) |  | HTML iconHTML  

    The localization algorithm in wireless sensor network is always a hot spot. Information collected by the sensors is meaningless without the position of the sensors. Now, paying little attention to 3-D space, most of the algorithms are for 2-D space. In this paper we introduce a novel algorithm for 3-D space called OBS (Optimal Beacon Selection) algorithm. In this algorithm we launched the concept of position error parameter, with consideration of communication range and position accuracy of beacon. The experiment results show that this method can minimize the accumulation error and improve the location precision. View full abstract»

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  • A Broad Band Parameter Identifying Model for Structural Dynamics Auto-Test

    Publication Year: 2008 , Page(s): 73 - 77
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (506 KB) |  | HTML iconHTML  

    An algorithm of auto-parameter identification of broad band model (BBPI) is presented. The complete frequency-band of interest can be processed at once without depending on user interface. The paper represents the algorithm theory and its fast methods. The theory sets up on the frequency response functions (FRF) with Least Squares frame curve fitting based on Z-domain. The first methods involve two aspects: the recurring equations for computing frequency-response matrix are used to speed up the modal parameter estimation process, and the terminal condition is used to reduce the repeat times for finding maximum order. Obtained the highest order of matrix, the modal-order and therefore the modal parameters can be computed. As representative example, a Circular Plate data set of 3 references and 36 responses is used to demonstrate the use of BBPI. The results are the same one from complex mode indication function (CMIF). The BBPI can be used to online test system, especially in monitoring situations without user. View full abstract»

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  • A Study of Multi-dimensional Melodic Similarity Model Based on Perceptual Analysis

    Publication Year: 2008 , Page(s): 78 - 82
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (558 KB) |  | HTML iconHTML  

    Perceived predominant melody of music is the most convenient and memorable description and can be used for content-based music retrieval. However, including human voice and multiple musical instruments playing together, it is difficult to extract a predominant contour of pitches directly from MP3 music recordings. In order to build a similarity music melody model, several audio files, whose melody is perceptually similar, are collected in our experiment. Many features are extracted and a melodic similarity model is defined through analyzing each feature and combinations of them. The melody model is evaluated based on classification results of six categories of Chinese folk music using Support Vector Machine. The experiment results show that 36-dimensional Constant Q Transform (CQT) feature can represent the melody of audio music pieces accurately. Further more, the classification results for audio data with similar melody are good enough to be used in audio music classification or segmentation and subsequently are very helpful in music information retrieval system. View full abstract»

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  • A Time-Varying FARIMA Model for Internet Traffic

    Publication Year: 2008 , Page(s): 83 - 87
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (337 KB) |  | HTML iconHTML  

    We present a time-varying fractional autoregressive integrated moving average model and the methodology to fit this model to a non-stationary time series with local stationarity. Our experiments illustrate that the proposed model is able to capture the non-stationarity of traffic with time-varying parameters. An application to Internet traffic data is presented. View full abstract»

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