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2008 International Conference on Neural Networks and Signal Processing最新文献

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Dynamic resource allocation for the downlink of multi-cell systems with full spectral reuse 基于全频谱复用的多小区系统下行链路动态资源分配
2008 International Conference on Neural Networks and Signal Processing Pub Date : 2008-06-07 DOI: 10.1109/ICNNSP.2008.4590334
Chongxian Zhong, Chunguo Li, Luxi Yang, Zhenya He
{"title":"Dynamic resource allocation for the downlink of multi-cell systems with full spectral reuse","authors":"Chongxian Zhong, Chunguo Li, Luxi Yang, Zhenya He","doi":"10.1109/ICNNSP.2008.4590334","DOIUrl":"https://doi.org/10.1109/ICNNSP.2008.4590334","url":null,"abstract":"In this paper, a semi-distributed dynamic resource allocation scheme is developed for the downlink of multi-cell systems with full spectral reuse. Firstly, each base station (BS) schedules one user from all the users in its own cell based on maximal SINR criterion, and then reports the channel and interference information of its scheduled user to a central resource manager (CRM). Finally, the CRM allocates transmit power for each BS utilizing heuristic greedy power allocation algorithm according to the reported information. Simulation results demonstrate that our proposed scheme suppresses inter-cell interference effectively by making full use of the cooperation of multiple cells, and thus yields better throughput performance and reduces the average transmit power significantly compared with the existing scheduling and allocation methods.","PeriodicalId":250993,"journal":{"name":"2008 International Conference on Neural Networks and Signal Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122431375","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: 8
A novel target tracking method of MMW monopulse radar 一种新的毫米波单脉冲雷达目标跟踪方法
2008 International Conference on Neural Networks and Signal Processing Pub Date : 2008-06-07 DOI: 10.1109/ICNNSP.2008.4590330
Zhong-chuan Zhang, Yan Zhang, Shan-xiang Mu, Jin-Dong Zhang
{"title":"A novel target tracking method of MMW monopulse radar","authors":"Zhong-chuan Zhang, Yan Zhang, Shan-xiang Mu, Jin-Dong Zhang","doi":"10.1109/ICNNSP.2008.4590330","DOIUrl":"https://doi.org/10.1109/ICNNSP.2008.4590330","url":null,"abstract":"A novel target tracking method in glint noise environment of millimeter wave monopulse radar is proposed. Firstly, the right frequency span of transmit pulse is selected to reduce the correlation of echo pulses. Secondly, the amplitude weighting method is applied to each angular measure result of multi frequency agility pulses. And then the state estimate was implemented using nonlinear non-Gaussian mixture kalman filter. This method has been simulated based on a MMW digital sum/difference monopulse linear array system model. The simulation result shows the method can constrain glint effectively and tracking target precisely.","PeriodicalId":250993,"journal":{"name":"2008 International Conference on Neural Networks and Signal Processing","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134518662","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
Hyper chaos synchronization shift keying (HCSSK) modulation and demodulation in wireless communications 无线通信中的超混沌同步移位键控(HCSSK)调制解调
2008 International Conference on Neural Networks and Signal Processing Pub Date : 2008-06-07 DOI: 10.1109/ICNNSP.2008.4590350
Di He, Chuan-jiang Yan, Fang-ming Zhao
{"title":"Hyper chaos synchronization shift keying (HCSSK) modulation and demodulation in wireless communications","authors":"Di He, Chuan-jiang Yan, Fang-ming Zhao","doi":"10.1109/ICNNSP.2008.4590350","DOIUrl":"https://doi.org/10.1109/ICNNSP.2008.4590350","url":null,"abstract":"A novel modulation and demodulation method based on hyper chaos synchronization is proposed in the paper. By utilizing the coupling characteristics between the drive and response terminals of hyper chaos systems, the problem of time delay and additive noise resistance in the wireless channel can be settled. Simulation results show the advantages of this method over conventional chaos shift keying. It has prospective potential in the practical use in wireless communications.","PeriodicalId":250993,"journal":{"name":"2008 International Conference on Neural Networks and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114528993","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
Improved DES algorithm based on irrational numbers 基于无理数的改进DES算法
2008 International Conference on Neural Networks and Signal Processing Pub Date : 2008-06-07 DOI: 10.1109/ICNNSP.2008.4590426
Jing Wang, Guoping Jiang, Hua Yang
{"title":"Improved DES algorithm based on irrational numbers","authors":"Jing Wang, Guoping Jiang, Hua Yang","doi":"10.1109/ICNNSP.2008.4590426","DOIUrl":"https://doi.org/10.1109/ICNNSP.2008.4590426","url":null,"abstract":"DES (data encryption standard) is a cryptographic standard. However, the applications of it are limited because of the small key space. Based on irrational numbers, an improved scheme that enhances the randomness of sub-key is proposed, in which the permutation is controlled by irrational number which is considered as false chaos. Moreover, the permutation controlled by data can be performed at high speed in generic CPU. It is shown that this scheme can expand the key space without costing any more time to run.","PeriodicalId":250993,"journal":{"name":"2008 International Conference on Neural Networks and Signal Processing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116064940","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: 4
A study on the anti-MAI performance of auxiliary vector receivers 辅助矢量接收机抗mai性能研究
2008 International Conference on Neural Networks and Signal Processing Pub Date : 2008-06-07 DOI: 10.1109/ICNNSP.2008.4590367
Junsheng Chen, Wanpei Chen, Xuelong Hu
{"title":"A study on the anti-MAI performance of auxiliary vector receivers","authors":"Junsheng Chen, Wanpei Chen, Xuelong Hu","doi":"10.1109/ICNNSP.2008.4590367","DOIUrl":"https://doi.org/10.1109/ICNNSP.2008.4590367","url":null,"abstract":"Multiple access interference (MAI) is one of the main factors that deteriorate the performance of CDMA systems. The anti-MAI performance of auxiliary vector receivers is studied in this paper. Simulation results indicate that the weight coefficient of an auxiliary vector (AV) diminishes sharply as the AVpsilas sequence number increases, thus the systempsilas performance gain brought by the increase of the number of AVs decreases rapidly as the number of the AVs increases. Auxiliary vector receivers almost reach their performance bound when they have 5 AVs. Therefore the number of AVs in an auxiliary vector receiver should not be more than 5, and be determined according to the particular quality requirement of the communication service. The less the number of AVs in an auxiliary vector receiver, the lower the computational complexity and the more practical value it has .Simulation results then show that the auxiliary vector receiver compares favorably to the decorrelating detector and the MMSE detector.","PeriodicalId":250993,"journal":{"name":"2008 International Conference on Neural Networks and Signal Processing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123117405","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
Edge detection using simplified Gabor wavelets 基于简化Gabor小波的边缘检测
2008 International Conference on Neural Networks and Signal Processing Pub Date : 2008-06-07 DOI: 10.1109/ICNNSP.2008.4590418
Wei Jiang, K. Lam, Ting-zhi Shen
{"title":"Edge detection using simplified Gabor wavelets","authors":"Wei Jiang, K. Lam, Ting-zhi Shen","doi":"10.1109/ICNNSP.2008.4590418","DOIUrl":"https://doi.org/10.1109/ICNNSP.2008.4590418","url":null,"abstract":"Gabor wavelets (GWs) have been commonly used for extracting local features for various applications, such as recognition, tracking, and edge detection. However, extracting the Gabor features is computationally intensive, so the features may be impractical for real-time applications. In this paper, we propose a set of simplified version of Gabor wavelets (SGWs) for edge detection. Experimental results show that our SGW-based edge detection algorithm can achieve a similar performance level to that using GWs, while the runtime required for feature extraction using SGWs is faster than that with GWs with the use of the fast Fourier transform (FFT). When compared to the Canny and other conventional edge detection methods, our proposed method can achieve a better performance in the terms of detection accuracy and computational complexity.","PeriodicalId":250993,"journal":{"name":"2008 International Conference on Neural Networks and Signal Processing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124891231","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: 9
A cepstral domain algorithm for formant frequency estimation from noise-corrupted speech 一种从噪声干扰语音中估计形成峰频率的倒频谱算法
2008 International Conference on Neural Networks and Signal Processing Pub Date : 2008-06-07 DOI: 10.1109/ICNNSP.2008.4590321
S. Fattah, W. Zhu, M. Ahmad
{"title":"A cepstral domain algorithm for formant frequency estimation from noise-corrupted speech","authors":"S. Fattah, W. Zhu, M. Ahmad","doi":"10.1109/ICNNSP.2008.4590321","DOIUrl":"https://doi.org/10.1109/ICNNSP.2008.4590321","url":null,"abstract":"A new scheme for the estimation of formant frequencies from noise-corrupted speech signals is presented in this paper. In order to overcome the effect of noise, first, instead of conventional autocorrelation function (ACF), a once-repeated ACF of the observed data is employed. A ramp cosine cepstrum model of the ORACF of speech signal is developed, followed by a model-fitting based least-square optimization to extract the formants. For the purpose of implementation, the discrete cosine transform (DCT) is used which offers computational advantages for real signals and solves the phase unwrapping problem. Synthetic and natural vowels as well as some naturally spoken sentences in noisy environments are tested. The experimental results demonstrate a better performance obtained by the proposed scheme in comparison to some of the existing methods at low levels of signal-to-noise ratio.","PeriodicalId":250993,"journal":{"name":"2008 International Conference on Neural Networks and Signal Processing","volume":"693 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122978981","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
Frequency cosine transform: A bridge between gradient based frequency transform and discrete cosine transform 频率余弦变换:基于梯度的频率变换和离散余弦变换之间的桥梁
2008 International Conference on Neural Networks and Signal Processing Pub Date : 2008-06-07 DOI: 10.1109/ICNNSP.2008.4590423
Suicheng Gu, Ying Tan, Xingui He
{"title":"Frequency cosine transform: A bridge between gradient based frequency transform and discrete cosine transform","authors":"Suicheng Gu, Ying Tan, Xingui He","doi":"10.1109/ICNNSP.2008.4590423","DOIUrl":"https://doi.org/10.1109/ICNNSP.2008.4590423","url":null,"abstract":"Discrete cosine transform(DCT) is one of the most powerful tools in image processing. In this paper, we show that each basis of the two dimensional discrete cosine transform (2D-DCT) is an ldquoeigenvectorrdquo of the frequency matrix which is used to obtain basis images of a two dimensional frequency transform (2D-FRT). We also connect the FRT and cosine transform in 1D continuous model. Then, the frequency cosine transform (FCT), is proposed based on the FRT and the DCT. The partial frequency cosine transform (PFCT) is given and discussed in details. It is shown that the FCT can be regarded as a special case of FRT or DCT and it is as sophisticated as the FRT and as fast as the DCT.","PeriodicalId":250993,"journal":{"name":"2008 International Conference on Neural Networks and Signal Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123003308","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
Improved non-negative factorization in the analysis of gene expression data 改进了基因表达数据分析中的非负因子分解
2008 International Conference on Neural Networks and Signal Processing Pub Date : 2008-06-07 DOI: 10.1109/ICNNSP.2008.4590332
Jin Zhang, Jiajun Wang
{"title":"Improved non-negative factorization in the analysis of gene expression data","authors":"Jin Zhang, Jiajun Wang","doi":"10.1109/ICNNSP.2008.4590332","DOIUrl":"https://doi.org/10.1109/ICNNSP.2008.4590332","url":null,"abstract":"In recent years, non-negative matrix factorization (NMF) has been widely used in the analysis of gene expression data. However the NMF algorithm has its limitations of little dithering during the iteration process when the initial values are chosen randomly. In this paper, data smoothing is introduced in the iteration to resolve the dithering problem. Both the traditional and the improved NMF algorithm are applied in the analysis of leukaemia microarray data. Experiment results show that both the accuracy and the stability can be significantly improved with the proposed algorithm.","PeriodicalId":250993,"journal":{"name":"2008 International Conference on Neural Networks and Signal Processing","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123619866","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
Solving permutation problem in frequency-domain blind source separation using microphone sub-arrays 利用传声器子阵列解决频域盲源分离中的置换问题
2008 International Conference on Neural Networks and Signal Processing Pub Date : 2008-06-07 DOI: 10.1109/ICNNSP.2008.4590311
Wanlong Li, Ju Liu, Jun Du, Shuzhong Bai
{"title":"Solving permutation problem in frequency-domain blind source separation using microphone sub-arrays","authors":"Wanlong Li, Ju Liu, Jun Du, Shuzhong Bai","doi":"10.1109/ICNNSP.2008.4590311","DOIUrl":"https://doi.org/10.1109/ICNNSP.2008.4590311","url":null,"abstract":"Blind source separation for convolutive mixtures can be solved effectively in the frequency domain where independent component analysis is performed in each frequency independently. However, the permutation problem arises: the permutation ambiguity of ICA in each frequency bin should be aligned so that a separated signal in the time-domain contains frequency components of the same source signal. In this paper, we present a new method for solving the permutation problem using microphone sub-arrays. It is based on the combination of two approaches: direction of arrival (DOA) estimation for sources and the inter-frequency correlation of signal envelopes. First, DOA estimation is performed using microphone sub-arrays so that the permutation problem is solved more robustly in low frequencies. Second, we exploit the correlation between the adjacent bins to fix the permutation for the remaining frequencies. Experimental results show that the proposed method provided a more robust solution to the permutation problem in a real acoustic environment.","PeriodicalId":250993,"journal":{"name":"2008 International Conference on Neural Networks and Signal Processing","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121474614","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
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