{"title":"Maximum likelihood detection of phase shift keying modulated signal with self-organized clustering assistant","authors":"S. Lerkvaranyu, Y. Miyanaga","doi":"10.1109/ISCIT.2004.1413831","DOIUrl":"https://doi.org/10.1109/ISCIT.2004.1413831","url":null,"abstract":"For the detection of phase shift keying (PSK) modulated signal in the presence of phase error and Gaussian noise, the maximum likelihood detection with self-organized clustering assistant (ML-SOCA) is proposed in this paper. When the training data available, the system use the training sequences which are transmitted within each burst to adapt the decision region by SOCA. Simulation results were obtained with 4PSK and 8PSK in an additive white Gaussian noise (AWGN) channel.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126564849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A direct design framework for a class of oversampled perfect reconstruction filter banks","authors":"T. Tanaka, D. P. Mandic","doi":"10.1109/ISCIT.2004.1413882","DOIUrl":"https://doi.org/10.1109/ISCIT.2004.1413882","url":null,"abstract":"A novel framework for the design of oversampled perfect reconstruction filter banks in which all analysis and synthesis filters have the length of twice the downsampling factor is presented. It is shown that given a set of analysis filters, using only simple matrix operations, we can obtain the corresponding synthesis filters which yield perfect reconstruction. In the proposed approach, it is not necessary to employ any iterative optimization technique in order to obtain the synthesis filters. The analysis is performed based solely on observations in a linear vector space. Some design examples are provided and open problems are stated.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127859265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Truncation of the head model in cellular phone simulations using a simple PML formulation","authors":"N. Homsup, T. Jariyanorawiss, W. Homsup","doi":"10.1109/ISCIT.2004.1413825","DOIUrl":"https://doi.org/10.1109/ISCIT.2004.1413825","url":null,"abstract":"This work presents a simple artificial absorbing layer for truncation of head model in cellular telephone simulations.. The physical domain containing an antenna and a head model is truncated with an absorbing layer. The simulation combines the physical domain and an absorbing layer as a single computational domain with spatially varying permittivity values. The specific absorption rate (SAR) distribution is calculated using the finite-difference time-domain (FDTD) scheme with a realistic head model and a realistic antenna model. An antenna operated at 900 MHz and 1800 MHz is simulated at various distances from a head model. The local SAR was computed within each finite difference cube. The spatial-peak 1- and 10-g average SARs were computed for each cubic volume that satisfies the mass constraints over the entire region. Also, the dependence of the maximum local SAR on the distance between an antenna and a head model is evaluated.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116805788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An extension of DHSPT to color half-tone images","authors":"M. Muneyasu, M. Inoue, Y. Kitamura","doi":"10.1109/ISCIT.2004.1412864","DOIUrl":"https://doi.org/10.1109/ISCIT.2004.1412864","url":null,"abstract":"The data hiding smart pair toggling (DHSPT) technique is one of watermarking techniques for grayscale halftone images. This paper proposes an extension of DHSPT to color images and its improvement technique of watermarked halftone image quality by considering luminance components. Simulation examples show the good image quality of the proposed technique.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128437590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel process-variation insensitive network for on-chip impedance matching","authors":"Feng Chen, R. Weber","doi":"10.1109/ISCIT.2004.1412446","DOIUrl":"https://doi.org/10.1109/ISCIT.2004.1412446","url":null,"abstract":"Impedance matching networks are used widely in RF circuit design for many purposes such as maximum power transfer or optimal noise match. Passive impedance matching networks involving capacitors and inductors are often employed, but they are subject to process variation. The paper presents a process-variation insensitive network with matched passive components that has a low sensitivity to process variation. This network,, when applied in impedance matching, can lead to a reliable network with high immunity to process variation. The improvement on immunity as compared to a conventional passive network is revealed in Monte Carlo simulation. This approach can be extended to broadband impedance matching by cascading the proposed network.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131900167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast and accurate localization of human faces","authors":"M.H. Khan, N. Khan, A. Zuberi","doi":"10.1109/ISCIT.2004.1413916","DOIUrl":"https://doi.org/10.1109/ISCIT.2004.1413916","url":null,"abstract":"Face detection is the first step in many face image processing applications. This work presents a simple, fast and robust method for reliable detection of faces in real-life images. We introduce a novel technique for distinguishing different skin colors, a capability that most of the other skin color based approaches lack. By distinguishing different shades of skin we are able to accurately detect facial regions even in complex scenes with near skin color backgrounds. Once the algorithm finds a candidate skin colored region, it verifies the region for being a face using a facial template composed of stable facial features. The algorithm can reliably detect multiple near-frontal, near-upright faces at different scales even in the presence of spectacles. We test the effectiveness of the method on various standard video sequences and two standard datasets for face detection.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134541789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-layer neural networks using generalized-mean neuron model","authors":"R. Yadav, N. Kumar, P. K. Kalra, J. John","doi":"10.1109/ISCIT.2004.1412457","DOIUrl":"https://doi.org/10.1109/ISCIT.2004.1412457","url":null,"abstract":"Well structured higher order neurons have shown improved computational power and generalization ability. However, these models are difficult to train because of a combinatorial explosion of higher order terms as the number of inputs to the neuron increases. We present a neural network using a new neuron architecture called the generalized mean neuron (GMN) model. This neuron model consists of an aggregation function which is based on the generalized mean of all the inputs applied to it. The resulting neuron model has the same number of parameters with improved computational power as the existing multilayer perceptron (MLP) model. The capability of this model has been tested on the classification and time series prediction problems.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133708691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Further investigation on trajectory of chaotic guiding signals for robotic systems","authors":"A.J.K. Klomkarn, P. Sooraksa","doi":"10.1109/ISCIT.2004.1413902","DOIUrl":"https://doi.org/10.1109/ISCIT.2004.1413902","url":null,"abstract":"Chaotic signals have been used and can be generated by a chaotic circuit for controlling trajectories of mobile robots. Application of chaotically robotic systems may be employed for cleaning and patrolling tasks, when information of areas at work is not available. This paper presents an investigation on the trajectory of chaotic guiding signals generated by Chua's attractor and Arnold's nonattractor in five given situations. According to the simulation, with best adjusting parameters for both signals, the trajectory generated from Chua's pattern has covered more areas than that of Arnold's counterpart for all testing cases.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124472932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tracking of linear time-varying systems using state-space least mean square","authors":"M.B. Malik, R. A. Bhatti","doi":"10.1109/ISCIT.2004.1412912","DOIUrl":"https://doi.org/10.1109/ISCIT.2004.1412912","url":null,"abstract":"In this paper, we present a generalized least mean square (LMS) algorithm. This new filter, which has been termed as state-space least mean square (SSLMS), incorporates linear time-varying state-space model of the underlying environment. The tracking ability of the LMS is limited due to linear regression model assumption. By overcoming this restriction, SSLMS exhibits a marked improvement in tracking performance over standard LMS and its known variants. The derivation of SSLMS is based on the minimum norm solution of an underdetermined linear least squares problem. An example of tracking a linear time-varying system demonstrates the ability and flexibility of SSLMS.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128642510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A view synthesis method based on object coding and simple disparity model","authors":"M. Morimoto, K. Fujii","doi":"10.1109/ISCIT.2004.1413838","DOIUrl":"https://doi.org/10.1109/ISCIT.2004.1413838","url":null,"abstract":"We propose a simple view synthesis method based on object coding and simple modeling of disparity space. In the proposed method, a scene from a binocular stereo-vision camera is divided into objects and planes. Our purpose is not a \"physically correct\" but a \"subjectively acceptable\" view synthesis within the video-rate, in order to provide convincing images, using MPEG4 object video coding. The proposed method uses interpolation/extrapolation to generate images from arbitrary viewpoints. It also conceals void areas behind objects by using surrounding texture information.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117104185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}