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International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003最新文献

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Auditory model inversion and its application 听觉模型反演及其应用
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1280737
Zhao Heming, Wang Yongqi, Chen Xueqin
{"title":"Auditory model inversion and its application","authors":"Zhao Heming, Wang Yongqi, Chen Xueqin","doi":"10.1109/ICNNSP.2003.1280737","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1280737","url":null,"abstract":"Auditory model has been applied to several aspects of speech signal processing field, and appears to be effective in performance. This paper presents the inverse transform of each stage of one auditory model that is used widely now. The utility of auditory model inversion will be emphasized focusing on the problem of speech enhanced and sound separation.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121343531","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}
引用次数: 2
Region feature space based target retrieval in video 基于区域特征空间的视频目标检索
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281095
Wei Feng, Yingqing Xu, R. Zhao
{"title":"Region feature space based target retrieval in video","authors":"Wei Feng, Yingqing Xu, R. Zhao","doi":"10.1109/ICNNSP.2003.1281095","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281095","url":null,"abstract":"A new robust target retrieval method in video is presented in this paper. The proposed approach uses spatio-temporal analysis to segment video in space-time domain. Then, a region feature space is defined according to the segment result, in which selected or given objects can be retrieved automatically in successive frames through local motion estimation. Various experiments show our algorithm is robust to partial occlusion, out-of-plane rotation and great relative movement among targets, scene and camera.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121348459","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}
引用次数: 0
IMM tracking of a 3D maneuvering target with passive TDOA system 基于被动TDOA系统的三维机动目标IMM跟踪
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281189
Ling Chen, Shaohong Li
{"title":"IMM tracking of a 3D maneuvering target with passive TDOA system","authors":"Ling Chen, Shaohong Li","doi":"10.1109/ICNNSP.2003.1281189","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281189","url":null,"abstract":"In recent years, passive localization and tracking are widely studied. Passive Time Difference Of Arrival (TDOA) system is one of important passive location systems. The IMM algorithm is a promising algorithm for tracking maneuvering targets. Here, a new application of IMM tracking algorithm to passive TDOA system is studied. The good tracking performance can be achieved if the accurate target motion models are selected. The paper presents a hybrid model of target motion, called CV-Singer model. Compared with the single model filter and the IMM filter used CV-CA model, the IMM filter used CV-Singer model can provide better tracking performance for passive TDOA systems.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116565851","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}
引用次数: 16
Kernel-based nonlinear discriminator with closed-form solution 基于核函数的非线性鉴别器
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279208
Benyong Liu
{"title":"Kernel-based nonlinear discriminator with closed-form solution","authors":"Benyong Liu","doi":"10.1109/ICNNSP.2003.1279208","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1279208","url":null,"abstract":"This paper proposes a discriminant criterion for pattern classification, in a higher-dimensional feature space nonlinearly related to the input patterns. With this criterion, a pattern class is discriminated from other classes by minimizing the mean energy of the latter's outputs from a nonlinear function. Adoption of the related reproducing kernel leads us to a solution coinciding with the representation of a nonlinear support vector machine (SVM), and it is called a kernel-based nonlinear discriminator (KND) in this paper. However, in addition to the criterion, KND differentiates itself from a nonlinear SVM with a closed form solution, in which any quadratic programming procedure is avoided. Results of a simple experiment on handwritten digit recognition show the usefulness of the proposed method in pattern discrimination.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123862132","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}
引用次数: 15
Effect of decay functions on the generalization ability of TWDRLS algorithms 衰减函数对TWDRLS算法泛化能力的影响
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279202
Yong Xu, Kwok-wo Wong
{"title":"Effect of decay functions on the generalization ability of TWDRLS algorithms","authors":"Yong Xu, Kwok-wo Wong","doi":"10.1109/ICNNSP.2003.1279202","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1279202","url":null,"abstract":"Artificial neural networks trained with a regularization term in the energy function have been shown to perform well in improving the generalization ability and reducing the complexity of the network. In a previous study, we proposed a new version of the TWDRLS algorithm with a generalized regularizer in the energy function to make it suitable for target learning. In this paper, we introduce three new decay functions to study the effect of the shape and intensity of the decay functions on the generalization ability of the trained network. Computer simulations show that the regularizer with a weak decaying effect for small weights but a relatively strong decaying effect for large ones makes the networks exhibit a better generalization ability.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131244764","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}
引用次数: 2
Super-resolution image restoration by combining incremental wiener filter and space-adaptive regularization 增量维纳滤波与空间自适应正则化相结合的超分辨率图像恢复
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281037
Ju Liu, Hua Yan, Jiande Sun, Daozhen Li
{"title":"Super-resolution image restoration by combining incremental wiener filter and space-adaptive regularization","authors":"Ju Liu, Hua Yan, Jiande Sun, Daozhen Li","doi":"10.1109/ICNNSP.2003.1281037","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281037","url":null,"abstract":"Space-adaptive regularization (SAR) is a method for image restoration and it can decrease ring artifacts arising around sharp intensity transition of the image. The approach proposed in this paper incorporates incremental wiener filter (IWF) with SAR by edge-picking method and then estimates a single high-resolution image from different low-resolution images. The characters of spatial piecewise smoothness in SAR and rapid convergence in incremental wiener filter are combined in the new approach. The computer simulations show that this method has good convergence performance.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121774419","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}
引用次数: 1
ICA based non-coherent QAM receiver architecture 基于ICA的非相干QAM接收机结构
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281122
I. Kostanic, W. Mikhael
{"title":"ICA based non-coherent QAM receiver architecture","authors":"I. Kostanic, W. Mikhael","doi":"10.1109/ICNNSP.2003.1281122","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281122","url":null,"abstract":"For emerging wireless data applications, carrier phase extraction and I/Q mismatch are challenging parts of the receiver design. This paper proposes receiver architecture for detection of QAM signals that does not require estimation of the received signal phase and can be used in both superheterodyne and direct conversion approaches. A Simplified Independent Component Analysis (SICA) signal processing technique is developed and used to separate the components in the I and Q branches of the receiver. It is demonstrated that the proposed receiver is robust with respect to amplitude and phase mismatch of the local oscillator. The performance of the SICA QAM receiver architecture is illustrated through computer-based simulations.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121865631","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}
引用次数: 2
The chaotic characteristics of transistor noise at low frequency 晶体管低频噪声的混沌特性
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279351
He Kai, Wang Shu-xun
{"title":"The chaotic characteristics of transistor noise at low frequency","authors":"He Kai, Wang Shu-xun","doi":"10.1109/ICNNSP.2003.1279351","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1279351","url":null,"abstract":"For a long time, people have described the transistor noise at low frequency with the theory of random process. In this paper, based on reconstructing phase space of the transistor EN noise time series, the nonlinear dynamic parameters are studied. The results of our study demonstrated that the transistor EN noise at low frequency has a limited fractional dimension, besides that, the largest Lyapunov exponent of the transistor EN noise is positive, so we can draw the conclusion that the transistor EN noise at low frequency has some chaotic characteristics.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133461883","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}
引用次数: 5
MIMO FIR channel estimation: a first-order statistical method MIMO FIR信道估计:一阶统计方法
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281144
Jun Tao, Luxi Yang
{"title":"MIMO FIR channel estimation: a first-order statistical method","authors":"Jun Tao, Luxi Yang","doi":"10.1109/ICNNSP.2003.1281144","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281144","url":null,"abstract":"Mobile wireless links exhibit frequency selective fading , thus a receiver needs to perform channel estimation and equalization. In this paper, we propose a superimposed periodic pilot scheme for channel estimation of a multi-input and multi-output (MIMO) system with finite-impulse response (FIR). A simple first-order statistics is used, and any FIR channel can be estimated provided both transmitted signals and additional noises are stationary with known means while regardless of any assumption on the color or distribution. There is no loss of information rate except for a controllable increase in transmission power. We derive the variance expression of this linear channel estimator. Numerical simulations demonstrate the effectiveness of this proposed method.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133979878","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}
引用次数: 2
An improved ratio edge detector for target detection in SAR images 一种用于SAR图像目标检测的改进比例边缘检测器
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1280765
Z. Bai, Peikun He
{"title":"An improved ratio edge detector for target detection in SAR images","authors":"Z. Bai, Peikun He","doi":"10.1109/ICNNSP.2003.1280765","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1280765","url":null,"abstract":"Edge detection is usually an important step of speckled SAR image processing, such as target detection. A few ratio-based edge detectors, such as MRoA edge detector, and the RGoA edge detector using predefined thresholds, have been developed for speckled SAR images. In this paper, RGoA method is modified for target detection in SAR images. The algorithm of the modified version of RGoA (called MRGoA), and the method for automatically determining the ratio threshold are developed. The MRGoA method differs from the RGoA method in definition of an edge pixel and the automatic threshold determining method. A real SAR image is used to verify our method. Experimental results show that the proposed method is effective and it will facilitate target detection.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134590408","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}
引用次数: 16
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