http://www.seipub.org/spr/RSS.aspxen-US2015-0<p class="abstract">A Preliminary Approach to Intelligent X-ray Imaging for Baggage Inspection at Airports</p><ul><li>Pages 1-11</li><li>Author Ivan UroukovRobert Spelle</li><li>Abstract Identifying explosives in baggage at airports relies on being able to characterize the materials that make up an X-ray image. If a suspicion is generated during the imaging process (step 1), the image data could be enhanced by adapting the scanning parameters (step 2). This paper addresses the first part of this problem and uses textural signatures to recognize and characterize materials and hence enabling system control. Directional Gabor-type filtering was applied to a series of different X-ray images. Images were processed in such a way as to simulate a line scanning geometry. Based on our experiments with images of industrial standards and our own samples it was found that different materials could be characterized in terms of the frequency range and orientation of the filters. It was also found that the signal strength generated by the filters could be used as an indicator of visibility and optimum imaging conditions predicted.</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=20467Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=204672015-0<p class="abstract">Iterative Collaborative Representation based Classification for Face Recognition</p><ul><li>Pages 12-19</li><li>Author Wei HuangXiaohui WangYinghui ZhuJianzhong L</li><li>Abstract Collaborative representation based classification (CRC) has received much attention in the field of pattern recognition. CRC uses a simple way to code a testing sample as a linear combination of all the training samples and classifies the testing sample into the class with the minimum representation error. But the original algorithm of CRC suffers from the following problem. It must perform the matrix inverse operation, which may cause unstable numerical computation. With this paper, in order to overcome the above problem of the original algorithm of CRC, we propose an iterative collaborative representation based classification (ICRC) algorithm. The experimental results on face recognition show that ICRC not only outperforms CRC but also is able to obtain a much higher accuracy than LRC.</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=23905Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=239052015-0<p class="abstract">Spatial Information Network Modeling and Analysis Based on Cognitive Technology</p><ul><li>Pages 20-24</li><li>Author Jianjun ZhangMing XueJun Xi</li><li>Abstract Aiming at ubiquitous and heterogeneous network model, spatial information network was constructed for the complex space environment, real-time adjustment to configure the network system, dynamicly and intelligently adapting to the environment and guiding future independent decision. There are corresponding theoretical guidance and support mechanisms on the network dynamic sensing and self-healing capabilities. Starting from the mechanism of cognitive technology, the concept of cognitive spatial information network was defined, the role of feedback loops in the cognitive process was elaborated, and the characteristics of the cognitive spatial information network was analyzed. A hierarchical cognitive network design model was proposed. For the initiative aware features of the network, the model uses the energy spectrum sensing method in cognitive radio and qualitatively analyzes the perceived performance of the cognitive spatial information networks. The simulation results show the range of the algorithm applied in space information network.</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=24434Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=244342015-0<p class="abstract">Chinese Auto-Clustering of Oral Conversation Corpus Based on Contextual Features</p><ul><li>Pages 25-29</li><li>Author Yue ChenQi ChenMinghu Jian</li><li>Abstract Chinese text clustering requires more linguistic knowledge in order to understand and analyze natural language accurately. To improve the accuracy of such clustering, in this article, we adopt SOM algorithm to add contextual features into the process of Chinese auto-clustering of oral corpus based on a contextual dictionary, and testify the effect of such a pragmatic application.</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=24435Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=244352015-0<p class="abstract">Bayesian Decoding of Neural Electrical Signals with a State-Space Model</p><ul><li>Pages 30-35</li><li>Author Ming XueJianjun Zhan</li><li>Abstract Neural systems encode external stimulation information in the firing patterns of individual neurons. This paper deciphers how neural systems represent and transmit acupuncture information. First, the firings of the individual neuron are transformed into point process spike trains. Then a Bayesian approach to this problem based on state-space representations of point processes is described. We use this method to decode different types of manual acupuncture (MA), i.e. the stimulus oscillograms of the MAs are reconstructed from neural spike trains. These results are proved to be significant for neural data processing based on statistical analysis framework.</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=24436Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=244362015-0<p class="abstract">Complex Wavelet Package Image Restoration to Support Operational Application</p><ul><li>Pages 36-41</li><li>Author Man YiyunLi Haicha</li><li>Abstract Operational application image restoration method with high quality, high efficiency and robustness is presented, for high resolution optical remote sensing satellite. Firstly, images are block segmented according to CCD characteristics, and periodic plus smooth decomposition and dequantization are processed. Then, noise and MTF curves are estimated adaptively using spectrum masking for taking into account the on-orbit dynamical imaging properties. Thirdly, deconvolution filters are optimized in different frequency in order to balance among the blurring, aliasing, noise and ringing effects, based on known noise and MTF’s shape and value. Fourthly, adaptive threshold to color noise are treated rapidly utilizing the shift invariance and the direction selectivity of complex wavelet package(CWP) unique features. Fifthly the weak texture regions are reserved. Experiments shows that the method can significantly improve image sharpness, with universality adaption, and has a good operational application prospects.</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=24437Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=244372015-0<p class="abstract">Computation of Satellite Yaw Angular Velocity for Relative Radiometric Calibration</p><ul><li>Pages 42-47</li><li>Author Li HaichaoMan Yiyu</li><li>Abstract The purpose of relative radiometric calibration is to eliminate the strip phenomenon on the image. A new method with all detectors viewing the same scene is carried out. This paper provides the modeling and computation of satellite Yaw Angular Velocity(YAV) based on all the CCD detectors imaging the same region. The space coordinate transform process from object point on the earth to image point in the focal plane is found. Furthermore, the calculation method and process of YAV for satellite CCD camera imaging the same scene is given. Computation results indicate that the ground trajectory interval width is less than one pixel near the equator, and about four pixels below 35 degrees during calibration process more than 30 seconds imaging for 30000 detectors imaging the same scene.</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=24438Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=244382015-0<p class="abstract">Analysis of AVF Evaluation Methods for Microprocessor Reliability</p><ul><li>Pages 48-53</li><li>Author Baolong GuoGuochang ZhouCao YufangXiang GaoYunyi Ya</li><li>Abstract Soft error arises from the strike of high-energy particle, and has become a key challenge in microprocessor design. Designers clearly require accurate estimates the error rates to make appropriate cost. A key aspect of the estimation is the analysis of architectural vulnerability factor (AVF). The AVF of a processor structure is defined as the probability that a fault in a processor structure will result in a visible error in the final output of a program, and AVF is one of the most commonly used estimation metrics of a structure's vulnerability. In this paper, we describe the AVF's concept, computing methods and comparison of three models, and we also discuss the directions for future research.</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=24439Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=244392015-0<p class="abstract">A New Approach for Retrieving Surface Soil Moisture and Vegetation Parameters</p><ul><li>Pages 54-57</li><li>Author Liang ChenQian Cu</li><li>Abstract A new approach for retrieving surface soil moisture and vegetation parameters based on multi-angular L-band brightness temperature data is presented in this paper. Relationships of soil emissivity at different incidence angles are derived using Advanced Integral Equation Model simulated database, and a linear function for brightness temperatures with two incidence angles is derived, in which the intercept and slope depend only on vegetation properties. Soil moisture can be retrieved using dual-polarization observations after surface roughness corrections based on a parameterized surface emission model. Validation using soil moisture networks indicates that this approach performs well in surface soil moisture retrieval. Retrieved soil moisture agrees well with in situ measurements with the rmse close to 0.04 m3/m3 .</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=24499Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=244992015-0<p class="abstract">Performance Evaluation to Code-Aided Linear Iterative Equalizer Under a Fading Channel</p><ul><li>Pages 58-62</li><li>Author J.H. WenJ.S. LiC.Y. YangH.C. Che</li><li>Abstract A linear iterative turbo equalizer (LITE) with code aided scheme is presented to be employed in a fading channels. A method is proposed for exploiting transmittal diversity within a parallel independent fading channel together with an iterative equalizing receiver. The structure of the equalizer combines LITE, encoding, decoding interleaving, and de-interleaving schemes. The code-aided LITE employs encoding and interleaving at the transmitter and passes a priori information on the transmitted symbols between decode outputs at the receiver. The performance of a code-aided LITE is evaluated by means of computer simulation. It shows the proposed code-aided equalizer functions benefits a better system performance in the fading channel.</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=24500Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=245002015-0<p class="abstract">The Improved Algorithm of the EMD Decomposition Based on Cubic Spline Interpolation</p><ul><li>Pages 63-68</li><li>Author Zhengkun LiuZe Zhan</li><li>Abstract It is critical to reduce the abnormal and complex jamming signals in the first order IMF component, because the decomposition result of the first order intrinsic mode function (IMF) in the empirical mode decomposition (EMD) method directly affects the subsequent decomposition effect, and also there are sampling restrictions for ultrasonic detectors. In this paper, we use a three-step optimization method to obtain the first order IMF. The first step is that the local extreme points of collected echo signals are fitted as the upper and lower envelopes by using the cubic spline interpolation method. The second step is to look for the curve of local mean of the echo signals on the basis of the upper and lower envelopes. The third step decomposes the curve of local mean by the EMD method. The simulation results show that our proposed method can effectively reduce jamming signals in the first order IMF and achieve the aim of improving the decomposition effect of the EMD method.</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=30223Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=302232015-0<p class="abstract">Classification of Familiar or Strange English Words using ERP</p><ul><li>Pages 69-72</li><li>Author Yang LiuJiacai Zhan</li><li>Abstract English vocabulary is the bricks of the language, and it’s important for English learners to handle accurately English words. Words recitation or dictation is the most widely used simple test form in vocabulary quiz. However, some students do less well in tests due to stress or even meltdown for exam. Here, we apply Brain fingerprinting (BF) in English vocabulary test. We studied the Event Related Potential (ERP) components elicited by familiar English words and strange English words, and used the ERP to decipher whether subject recognized the word presented in the screen. We analyzed the distinct ERP features related to different stimuli (familiar and strange words), and further speculated whether subjects recognized the presenting words from P300 by calculation correlations between different stimuli. The results of 8 subjects implied that familiar words recognized by subjects could be detected from P300 with accepted precision and recall. This means that BF provides a novel alternative for vocabulary quiz and opens the way for application in education, where concealed vocabulary related information stored in mind was detected by measuring brain signals, such as electroencephalography (EEG).</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=30344Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=303442015-0<p class="abstract">Eye Fixation Related EEG Rhythms and its Application on Detection of Regions of Interest</p><ul><li>Pages 73-76</li><li>Author Jialu NiuJiacai Zhan</li><li>Abstract In the process of eye tracking , a subject may focus on a point for a longer time, we call it fixation points, the process between fixation points is a saccade. Here, we investigate into the correlation between eye-tracking data and EEG(Electroencephalogram) rhythms and aim to explore the EEG rhythm feature related to eye fixation. Furtherly, we try to design a new brain-computer interface system to predict the regions of interest when viewing nature images using EEG rhythms. This BCI system can be used on mobile devices for fixation detection. Our experiments show alpha-band EEG rhythm is related to fixations and EEG rhythm which makes slight contribution to ROI prediction.</li></ul>http://www.seipub.org/spr/PaperInfo.aspx?ID=30501Signal Processing Researchhttp://www.seipub.org/spr/PaperInfo.aspx?ID=30501