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Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.最新文献

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Resolving ambiguities in subspace-based blind receiver for MIMO channels 基于子空间的MIMO信道盲接收机的歧义解决
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. Pub Date : 2002-11-03 DOI: 10.1109/ACSSC.2002.1197249
S. Visuri, V. Koivunen
{"title":"Resolving ambiguities in subspace-based blind receiver for MIMO channels","authors":"S. Visuri, V. Koivunen","doi":"10.1109/ACSSC.2002.1197249","DOIUrl":"https://doi.org/10.1109/ACSSC.2002.1197249","url":null,"abstract":"The problem of subspace based blind channel estimation in FIR-MIMO systems is addressed in this paper. In such blind MIMO methods, some ambiguities always remain. They may be expressed in a form of full rank mixing matrix. In this paper, a two-stage receiver algorithm solving these ambiguities is proposed. The FIR-MIMO model is identified first followed by equalization stage. The ambiguity remaining after the equalizer is modeled as an instantaneous MIMO system. This system is solved using independent component analysis (ICA) using the assumption that transmitted sequences is statistically independent and non-Gaussian.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124256127","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: 19
A multistage interference rejection system for GPS GPS多级抗干扰系统
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. Pub Date : 2002-11-03 DOI: 10.1109/ACSSC.2002.1197061
R. Cagley, Suk-seung Hwang, J. Shynk
{"title":"A multistage interference rejection system for GPS","authors":"R. Cagley, Suk-seung Hwang, J. Shynk","doi":"10.1109/ACSSC.2002.1197061","DOIUrl":"https://doi.org/10.1109/ACSSC.2002.1197061","url":null,"abstract":"The Global Positioning System (GPS) is a one-way satellite communication system that is widely used for both civilian and military applications. Because of the relatively low power of the received signals, GPS is highly susceptible to a variety of intentional and unintentional interferers. In this paper we examine a multistage space-time adaptive-processor (STAP) that is used to improve the detection capability of a GPS receiver for a wide range of jamming scenarios. Depending on the type of interference, the stages incorporate structures such as a notch filter, a beamformer and a blind linear interference canceler. Computer simulations are provided to illustrate the performance of the multistage receiver for wideband and narrowband interferers.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125908880","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: 12
Joint iterative estimation and decoding for 16-QAM BICM over correlated fading channels 相关衰落信道上16-QAM BICM的联合迭代估计与译码
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. Pub Date : 2002-11-03 DOI: 10.1109/ACSSC.2002.1197157
Yuheng Huang, J. Ritcey
{"title":"Joint iterative estimation and decoding for 16-QAM BICM over correlated fading channels","authors":"Yuheng Huang, J. Ritcey","doi":"10.1109/ACSSC.2002.1197157","DOIUrl":"https://doi.org/10.1109/ACSSC.2002.1197157","url":null,"abstract":"Joint iterative channel estimation and decoding for 16-QAM bit-interleaved coded modulation (BICM) is considered over frequency-flat fading channels. Estimates of the complex channel gain are derived first from known pilot symbols by optimum Wiener filtering and passed to the BICM iterative decoder as initial channel state information. After each decoding iteration, the channel estimates are refined using the extrinsic information fed back from the decoder. An advanced scheme called \"restart\" is developed to effectively reduce the bit error rate floor, by restarting the decoder after several iterations with the refined channel gain estimates. Motivated by the observation of the burst errors in the transmitted sequence, the \"restart\" algorithm is extended by concatenating Reed-Solomon codes with BICM. When RS (255, 223) code is used for BICM with 16-QAM modified set partitioning labeling and a 16-state code, the BER of 10/sup -6/ can be achieved at E/sub b//N/sub 0/ of 10.5 dB for normalized fade rate f/sub d/T/sub s/ = 0.02.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129734875","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
Musical instruments recognition using hidden Markov model 基于隐马尔可夫模型的乐器识别
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. Pub Date : 2002-11-03 DOI: 10.1109/ACSSC.2002.1197175
Jonghyun Lee, J. Chun
{"title":"Musical instruments recognition using hidden Markov model","authors":"Jonghyun Lee, J. Chun","doi":"10.1109/ACSSC.2002.1197175","DOIUrl":"https://doi.org/10.1109/ACSSC.2002.1197175","url":null,"abstract":"A new musical instrument recognition technique based on a hidden Markov model (HMM) is proposed. The spectral envelope is the key information of instrument characteristic and timbre. We decompose an instrument sound into sinusoidal components (harmonics) and noise components and estimate the amplitudes of the harmonics component. We want to express the spectral envelope effectively using estimated amplitude, therefore, we define three kinds of features and apply a recognition procedure to each feature. The HMM model used is continuous single Gaussian output HMM. To evaluate the performance of the recognition technique, the proposed technique is applied to classify the real instrumental sound of MUMS (MacGill University Master Samples). The recognition success ratio is more than 70%.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124634690","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: 6
Adaptive radar detection of extended targets via signature diversity 基于特征分集的扩展目标自适应雷达探测
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. Pub Date : 2002-11-03 DOI: 10.1109/ACSSC.2002.1197009
F. Bandiera, G. Ricci, M. Tesauro
{"title":"Adaptive radar detection of extended targets via signature diversity","authors":"F. Bandiera, G. Ricci, M. Tesauro","doi":"10.1109/ACSSC.2002.1197009","DOIUrl":"https://doi.org/10.1109/ACSSC.2002.1197009","url":null,"abstract":"The paper addresses adaptive detection of extended targets in Gaussian noise with unknown statistics. It is assumed that the radar can change the transmitted signal in azimuth. More precisely, it makes use of N N-dimensional signatures; the possible useful signal from each radar cell is a coherent pulse train while the disturbance is a Gaussian process, independent from cell to cell, but with the same (unknown) covariance matrix regardless of the illuminated one. Based on the above model, we propose an adaptive detector designed according to a two-step procedure. Its performance assessment and the comparison with a previously-proposed detector show that the proposed one can be a viable means to cope with uncertain scenarios.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115827600","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
Blind equalization and decoding for unitary space-time modulations 酉时空调制的盲均衡与解码
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. Pub Date : 2002-11-03 DOI: 10.1109/ACSSC.2002.1197265
E. Aktas, U. Mitra
{"title":"Blind equalization and decoding for unitary space-time modulations","authors":"E. Aktas, U. Mitra","doi":"10.1109/ACSSC.2002.1197265","DOIUrl":"https://doi.org/10.1109/ACSSC.2002.1197265","url":null,"abstract":"Blind equalization and decoding of unitary space-time modulations are considered. A blind adaptive equalization method was put forward for the codes proposed by Hochwald et al. (Sept. 2000). The stationary points of the said method are investigated. A modified version of the algorithm is provided to avoid undesired convergence. A generalized likelihood ratio test decoder is presented for the equalizer outputs. Semi-analytic methods are developed to investigate pairwise error probability with large number of receive antenna assumptions.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116035925","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
A clustering algorithm for gene expression data using wavelet packet decomposition 基于小波包分解的基因表达数据聚类算法
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. Pub Date : 2002-11-03 DOI: 10.1109/ACSSC.2002.1197198
A. Rao
{"title":"A clustering algorithm for gene expression data using wavelet packet decomposition","authors":"A. Rao","doi":"10.1109/ACSSC.2002.1197198","DOIUrl":"https://doi.org/10.1109/ACSSC.2002.1197198","url":null,"abstract":"Mining large amounts of data and deriving meaning from the mined data in bioinformatics is a computationally intensive and relevant issue. In this paper, an efficient algorithm to cluster genes into similar 'functional' groups is presented. This is a technique for extracting and characterizing rhythmic expression profiles from genome-wide DNA micro-array hybridization data. These patterns are clues to discovering rhythmic genes implicated in cell-cycle, circadian, or other biological processes. These functionalities are discussed. A signal-processing approach to this problem is presented. The information theoretic criterion for identifying those genes exhibiting maximum variation in behavior is explored. The genes are clustered and then relationships are derived for the proposition of a temporal cell-cycle model governing regulatory behavior. The human fibroblast and yeast data set are presently considered for analysis.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116205912","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
Wavelet packet cepstral analysis for speaker recognition 小波包倒谱分析在说话人识别中的应用
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. Pub Date : 2002-11-03 DOI: 10.1109/ACSSC.2002.1197177
A. Kinney, J. Stevens
{"title":"Wavelet packet cepstral analysis for speaker recognition","authors":"A. Kinney, J. Stevens","doi":"10.1109/ACSSC.2002.1197177","DOIUrl":"https://doi.org/10.1109/ACSSC.2002.1197177","url":null,"abstract":"A novel processing technique for speaker recognition applications is introduced. It was shown that feature extraction based on cepstral analysis of the wavelet packet decomposition can provide significant inter-speaker separation. This idea is based on deconvolution of the vocal tract and excitation source components through homomorphic decomposition of a signal's multiresolution wavelets. A simple neural network technique is employed to classify the feature vector obtained through wavelet packet cepstral analysis.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"5 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120855975","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
Structured channel estimation based decision feedback equalizers for sparse multipath channels with applications to digital TV receivers 基于结构化信道估计的稀疏多径信道决策反馈均衡器及其在数字电视接收机中的应用
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. Pub Date : 2002-11-03 DOI: 10.1109/ACSSC.2002.1197243
S. Ozen, W. Hillery, M. Zoltowski, S.M. Nereyanuru, M. Fimoff
{"title":"Structured channel estimation based decision feedback equalizers for sparse multipath channels with applications to digital TV receivers","authors":"S. Ozen, W. Hillery, M. Zoltowski, S.M. Nereyanuru, M. Fimoff","doi":"10.1109/ACSSC.2002.1197243","DOIUrl":"https://doi.org/10.1109/ACSSC.2002.1197243","url":null,"abstract":"In this paper, we investigate the performance of channel estimation based equalizers. We introduce two different channel estimation algorithms. Our first channel estimation scheme is a novel structured channel impulse response (CIR) estimation method for sparse multipath channels. The novel CIR estimation method was called blended least squares (BLS) which uses symbol rate sampled signals, based on blending the least squares based channel estimation and the correlation and thresholding based channel estimation methods. The second CIR estimation is called Variable thresholding (VT), and is based on improving the output of the correlation and thresholding based channel estimation method. We then use these two CIR estimates to calculate the decision feedback equalizer (DFE) tap weights. Simulation examples are drawn from the ATSC digital TV 8-VSB system. The delay spread for digital TV systems can be as long as several hundred times the symbol duration; however, digital TV channels are, in general, sparse where there are only a few dominant multipaths.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125921552","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
Robust least-squares estimators based on semidefinite programming 基于半定规划的鲁棒最小二乘估计
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. Pub Date : 2002-11-03 DOI: 10.1109/ACSSC.2002.1197082
J. Dahl, L. Vandenberghe, B. Fleury
{"title":"Robust least-squares estimators based on semidefinite programming","authors":"J. Dahl, L. Vandenberghe, B. Fleury","doi":"10.1109/ACSSC.2002.1197082","DOIUrl":"https://doi.org/10.1109/ACSSC.2002.1197082","url":null,"abstract":"We apply recently developed semidefinite programming (SDP) techniques to robust estimation and equalization problems in communication systems with uncertain channels. We derive robust versions of three widely used estimators: the zero-forcing estimator (ZFE), the minimum-mean squared error estimator (MMSEE), and the minimum-mean squared error decision feedback estimator (MMSE-DFE). The formulation of the robust estimation problem takes into account structure in the uncertainty, modeled as an ellipsoidal family of possible FIR channels. The robust estimators are found as the global minimizers of the worst-case residual, and can be computed at a moderate computational cost via semidefinite programming.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125985977","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
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