Zhibin Xie, Jinkuan Wang, Jing Gao, Yun Wang, Dongmei Yan
{"title":"Efficient transmit and receive optimization design for multiuser spatial multiplexing systems","authors":"Zhibin Xie, Jinkuan Wang, Jing Gao, Yun Wang, Dongmei Yan","doi":"10.1109/ICOSP.2008.4697516","DOIUrl":"https://doi.org/10.1109/ICOSP.2008.4697516","url":null,"abstract":"The multi-antenna system can significantly increase the spectral efficiency of wireless systems. This paper proposes a novel low complexity preprocessing scheme for multiuser multiple-input multiple-output (MU-MIMO) system. The proposed precoding algorithm decomposes the composite downlink channel into the multiple sub-channels without inter-user interference and has lower cost than traditional algorithms. At the same time, an efficient equalization algorithm is proposed to achieve the joint optimal design in receiver. Simulation results show the feasibility and effectiveness of the proposed algorithm.","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127799188","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":"Two dimensional imaging of extended targets by MIMO radar using hopped frequency signal","authors":"Changzheng Ma, T. Yeo, Junjie Feng, H. Tan","doi":"10.1109/ICOSP.2008.4697623","DOIUrl":"https://doi.org/10.1109/ICOSP.2008.4697623","url":null,"abstract":"Multiple input multiple output (MIMO) radar transmits orthogonal or non-coherent waveforms which greatly improve the array aperture. Works published generally only consider narrow band signal and/or point targets located in one range cell. In this paper, the study of range and azimuth angle imaging of extended targets employing wideband hopped frequency signals is discussed. Hopped frequency signal are sensitive to a targetpsilas speed. A kurtosis based criterion is presented for doing motion compensation. In order to mitigate the high side lobe of the hopped frequency signal, a ldquoCLEANrdquo based signal processing procedure is also presented.","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134473507","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}
Changling Wang, Shangling Song, Fengrong Sun, Liangmo Mei
{"title":"Study on Finger-Articular Back Texture recognition","authors":"Changling Wang, Shangling Song, Fengrong Sun, Liangmo Mei","doi":"10.1109/ICOSP.2008.4697556","DOIUrl":"https://doi.org/10.1109/ICOSP.2008.4697556","url":null,"abstract":"Humanpsilas finger-articular back texture(FABT), as a novel biometric identification pattern, has been studied. As a basis set of FABT space, eigenjoints are extracted by principle component analysis. The features of each finger-articular back texture are computed by projecting on the related eigenjoint space. In matching stage, the decision are made by using nearest neighbor classifier based on Mahalanobis distance. The results show that: back finger- joint texture has high uniqueness in terms of high recognition accuracy rate (97.57 percent); the inter-class and intra-class have good separability; and recognition speed is fast enough for real time identification.","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131872241","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 hierarchical boosting algorithm based on feature selection for Synthetic Aperture Radar image retrieval","authors":"Mengling Liu, Chu He, Chao Qian, Hong Sun","doi":"10.1109/ICOSP.2008.4697292","DOIUrl":"https://doi.org/10.1109/ICOSP.2008.4697292","url":null,"abstract":"A hierarchical boosting algorithm based on feature selection is proposed for Synthetic Aperture Radar (SAR) image retrieval here. Motivated by Joint Boost and Shared feature frameworks, category combinations are adopted as the training and classification set of a hierarchical boosting-based classification frameworkpsilas middle layer. It has superiorities over the classical method which combines Boosting algorithm with many features as inputs. Meanwhile, different from the Joint Boost scheme, our method separates feature selection from training and retrieval processes. Thus more flexible feature selecting schemes can be used, e.g. nonlinear separating plane can be obtained. Some typical features such as Gabor, Edge Orientation Histogram, gray-level co-occurrence matrix, Grey Histogram and Tamura are used as the candidates of the input and statistics-based selecting method is used as the feature selection scheme. The experiments are carried on the KTH_TIPS and SAR image datasets and the results reveal our algorithmpsilas efficient performances and superiorities.","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124395663","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":"Finite Ridgelet Transform for low bit rate image compression","authors":"Yajie Wei, Quanyin Yang, X. Wang","doi":"10.1109/ICOSP.2008.4697286","DOIUrl":"https://doi.org/10.1109/ICOSP.2008.4697286","url":null,"abstract":"The finite Ridgelet transform (FRIT) was widely used as a sparse representation for images that with linear singularities. Unfortunately, the ldquowrap aroundrdquo effect restricts its application in image compression and denoising. In this paper, The MAP estimator is applied to the coefficients in the finite Radon transform (FRAT) in order to select the fitted FRAT columns for 1-DCT and 1-DWT. Furthermore, the ldquowrap aroundrdquo effect could be made more clearly if we interpret it in the time domain. Experiments show that this algorithm can concentrate the coefficients energy more greatly and outperforms the other methods in approximating images with straight edges.","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122180953","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 time-varying Doppler frequency synthesizer","authors":"Yang Xiang, Xiu-lin Hu","doi":"10.1109/ICOSP.2008.4697502","DOIUrl":"https://doi.org/10.1109/ICOSP.2008.4697502","url":null,"abstract":"A novel time-varying Doppler frequency synthesizer is presented in this paper. Time-varying Doppler frequency synthesis is one of the most critical problems in high dynamic GPS signal simulator. The presented frequency synthesizer which may be easily implemented by software and hardware in digital domain can accurately control Doppler frequency and its derivatives of generated signals by means of designing inputting controlling words of carrier NCO, so as to accurately simulate received time-varying carrier Doppler frequency arising from high dynamics between satellites and GPS receivers. Experiment results confirm the correctness and validity of the proposed scheme.","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130131662","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}
B. Kouhi-Jelehkaran, H. Bakhshi, F. Razzazi, S. Amini
{"title":"Phone-based filter parameter optimization for robust speech recognition using likelihood maximization","authors":"B. Kouhi-Jelehkaran, H. Bakhshi, F. Razzazi, S. Amini","doi":"10.1109/ICOSP.2008.4697194","DOIUrl":"https://doi.org/10.1109/ICOSP.2008.4697194","url":null,"abstract":"Accuracy of speech recognition systems decreases when the distance between talker and microphone increases. By the using of microphone arrays and appropriate filtering of received signals, the accuracy of recognizer can be increased. Many different methods have been proposed. These methods can be classified in two main approaches: Systems that perform in two independent stages of array processing and recognition, and systems that use the likelihood acoustic information of recognition stage to calibrate the parameters of array processing stage on an utterance-based manner. In this paper a new approach to microphone array processing is proposed in which the parameters of array processing are adjusted based on phones used in language. Optimized filter parameters are stored and used during recognition phase. Persian language is used to find any improvement in speech recognition accuracy.","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131610265","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":"Dual Weight Learning Vector Quantization","authors":"Chuanfeng Lv, Xing An, Zhiwen Liu, Qiangfu Zhao","doi":"10.1109/ICOSP.2008.4697470","DOIUrl":"https://doi.org/10.1109/ICOSP.2008.4697470","url":null,"abstract":"A new learning vector quantization (LVQ) approach, so-called dual weight learning vector quantization (DWLVQ), is presented in this paper. The basic idea is to introduce an additional weight (namely the importance vector) for each feature of reference vectors to indicate the importance of this feature during the classification. The importance vectors are adapted regarding the fitness of the respective reference vector over the training iteration. Along with the progress of the training procedure, the dual weights (reference vector and importance vector) can be adjusted simultaneously and mutually to improve the recognition rate eventually. Machine learning databases from UCI are selected to verify the performance of the proposed new approach. The experimental results show that DWLVQ can yield superior performance in terms of recognition rate, computational complexity and stability, compared with the other existing methods which including LVQ, generalized LVQ(GLVQ), relevance LVQ(RLVQ) and generalized relevance LVQ (GRLVQ).","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131993345","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":"Automated dental arch detection using computed tomography images","authors":"T. Chanwimaluang, S. Sotthivirat, W. Sinthupinyo","doi":"10.1109/ICOSP.2008.4697235","DOIUrl":"https://doi.org/10.1109/ICOSP.2008.4697235","url":null,"abstract":"The dental arch detection from an x-ray computed tomography (CT) image is an important feature in generating panoramic images as well as in rearranging teeth in orthodontics. This paper introduces an automated approach in dental arch detection. Because teeth have higher intensities than their surrounding area, local entropy thresholding technique is employed to binarize a dental CT image. Next, we use connected component labeling to partially remove metal artifacts. Then, morphological dilation is applied to close the interstices between teeth so the maxilla/mandible region is connected into one piece. After that, morphological thinning operation is used to thin the binary maxilla/mandible region. The thinning result is a rough shape of dental arch. Lastly, we exploit the thinning result in curve fitting method to get a mathematically represented dental arch. We tested our algorithm on the total of 60 dental CT images which are taken from 6 different data sets (ten images per data set). Simulation results demonstrate satisfactory outcomes.","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132079903","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":"Orthogonal pulses design for ultra-wideband communication system","authors":"Jie Yang, Li-Na Weng, Jinwei Zhang","doi":"10.1109/ICOSP.2008.4697501","DOIUrl":"https://doi.org/10.1109/ICOSP.2008.4697501","url":null,"abstract":"A novel ultra-wideband (UWB) pulses design algorithm based on modified Hermite polynomials is presented in this paper. Secondary Schmidt orthogonalization method and combination algorithm are proposed to generate a class of orthogonal UWB pulses which can be used in multiple access schemes and suppress the interference between multi-users. The constructed pulse series can not only comply with the power spectral emission mask of federal communications commission (FCC), but also optimally utilize the bandwidth and power allowed. Moreover, the flexibility of combination algorithm permits simple modifications to generate new set of pulses which can accommodate other circumstances.","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134554896","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}