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[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing最新文献

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Status report on Wavelets in Signal Detection and Identification: Comparative Processing and Technology Evaluation 小波在信号检测与识别中的研究现状:比较处理与技术评价
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246845
R.S. Loe, K. Jung, K. Anderson, A. Abatzoglou, J. Regan, H. Arnold, W. Lawton
{"title":"Status report on Wavelets in Signal Detection and Identification: Comparative Processing and Technology Evaluation","authors":"R.S. Loe, K. Jung, K. Anderson, A. Abatzoglou, J. Regan, H. Arnold, W. Lawton","doi":"10.1109/SSAP.1992.246845","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246845","url":null,"abstract":"The goal of this DARPA program is to compare wavelet techniques with a variety of competing transforms such as the short-time Fourier transforms, the Wigner-Ville transform, constrained total least squares and Prony single-valued decomposition. The comparison domain is the detection and identification of passive underwater transient acoustic signals. This paper focuses on the comparison process. Preliminary classification results are shown with the current feature set, based on the analysis of a database collected in the laboratory.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125137901","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
Estimation of seismic wave parameters by nonlinear regression 用非线性回归估计地震波参数
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246897
D. Maiwald, J. Bohme
{"title":"Estimation of seismic wave parameters by nonlinear regression","authors":"D. Maiwald, J. Bohme","doi":"10.1109/SSAP.1992.246897","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246897","url":null,"abstract":"The authors model data by decaying complex sine waves. The good asymptotic properties of the estimates are verified. The application of the proposed algorithm to real seismic data is reported.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134575470","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
Correlation matrix estimation and order selection for spectrum estimation 频谱估计的相关矩阵估计和阶数选择
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246854
W. Du, R. Kirlin
{"title":"Correlation matrix estimation and order selection for spectrum estimation","authors":"W. Du, R. Kirlin","doi":"10.1109/SSAP.1992.246854","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246854","url":null,"abstract":"This paper presents a novel covariance matrix estimator for frequency estimation in time sequence analysis. A preliminary covariance matrix of size M' is first calculated by the sample covariance matrix method, and then the final covariance of size M, with M<or=M' is determined by employing all available correlation information in the preliminary estimate. Generally the new covariance estimator can more effectively utilize temporal correlations among the data and provides more trade-off freedom in order selection. When the orders (sizes) of the covariance matrices are properly selected, this new estimator can obtain a statistically more stable estimate of covariance matrix than the conventional approach.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114528134","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
Non-Gaussian source localization via exploitation of higher-order cyclostationarity 利用高阶循环平稳性的非高斯源定位
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246816
G. Giannakis, S. Shamsunder
{"title":"Non-Gaussian source localization via exploitation of higher-order cyclostationarity","authors":"G. Giannakis, S. Shamsunder","doi":"10.1109/SSAP.1992.246816","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246816","url":null,"abstract":"Novel direction of arrival (DOA) estimation algorithms which exploits the non-Gaussian and cyclostationary nature of communication signals are explored. The proposed methods employ cyclic higher-order statistics (CHOS) of the array output and suppress additive Gaussian noise of unknown spectral content even when the noise shares common cycle frequencies with the nonGaussian signals of interest. CHOS are tolerant to non-Gaussian interferences with cycle frequencies other than those of the desired signals, and allow one to estimate consistently the DOAs of more sources (per cycle) with fewer sensors.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115901829","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: 10
A theoretical framework for a class of frequency estimation algorithms 一类频率估计算法的理论框架
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246869
R. Todd, J. R. Cruz
{"title":"A theoretical framework for a class of frequency estimation algorithms","authors":"R. Todd, J. R. Cruz","doi":"10.1109/SSAP.1992.246869","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246869","url":null,"abstract":"This paper discusses a general class of algorithms for estimating the frequencies of a set of complex exponentials, and presents a corrected proof of the validity of the algorithms when applied to either real or complex data. The linear-prediction least-squares algorithms, involve the formulation of the estimation problem in terms of finding the roots of a polynomial in C(x) (the vector space of polynomials over the complex numbers C) that has minimum norm with respect to some inner product defined over C(x).<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124510117","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
Constrained ARMA method for magnetic resonance imaging 约束ARMA磁共振成像方法
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246889
M.R. Smith
{"title":"Constrained ARMA method for magnetic resonance imaging","authors":"M.R. Smith","doi":"10.1109/SSAP.1992.246889","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246889","url":null,"abstract":"Quantitative measurement on medical phantoms has shown that the transient error reconstruction approach (TERA), successfully reintroduces 40% to 50% of truncated energy. This indicates a considerable increase in resolution and reduction in image artifacts. The algorithm is not as successful on normal medical data. This paper suggests an approach to constrain the modeling algorithm to include a priori information and improve the modeling. Preliminary results are presented for a constraint that introduces additional edge information into the TERA algorithm.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122107390","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
Practical detection with calibrated arrays 实际检测校准阵列
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246853
W. Xu, J. Pierre, M. Kaveh
{"title":"Practical detection with calibrated arrays","authors":"W. Xu, J. Pierre, M. Kaveh","doi":"10.1109/SSAP.1992.246853","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246853","url":null,"abstract":"This paper discusses some of the practical limitations of detection methods formulated in terms of the eigenvalues of the sample covariance matrix of the output of a sensor array. It presents an approach based on the principal eigenvectors and the measured array manifold that appears to be at least as sensitive, but apparently much more robust than methods such as AIC and MDL. Comparative performance results are given for simulation data with a variety of noise statistics and for data obtained from an experimental array.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126187304","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: 28
Efficient estimation of 2-dimensional frequencies of sinusoids by the annihilator method and constrained total least squares 用湮灭子法和约束总最小二乘有效估计正弦波的二维频率
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246867
T. Abatzoglou, L. Lam
{"title":"Efficient estimation of 2-dimensional frequencies of sinusoids by the annihilator method and constrained total least squares","authors":"T. Abatzoglou, L. Lam","doi":"10.1109/SSAP.1992.246867","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246867","url":null,"abstract":"The authors address the problem of estimating the 2-dimensional frequencies from a set of double indexed samples consisting of unknown linear combinations with efficiency. These problems arise in high resolution radar/sonar imaging, array signal processing and nuclear magnetic resonance imaging. A new approach is based on the annihilator method and a generalization of the CTLS technique. Simulation results show that this approach can estimate the 2-D frequencies with accuracies approaching the Cramer-Rao bound even when the separation of the sinusoids is a fraction of the discrete Fourier transform resolution bin.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126441330","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
Signal processing applied to ultrasonic imaging 应用于超声成像的信号处理
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246808
L. Sciacca, R. Evans
{"title":"Signal processing applied to ultrasonic imaging","authors":"L. Sciacca, R. Evans","doi":"10.1109/SSAP.1992.246808","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246808","url":null,"abstract":"This paper describes a noncoherent ultrasonic array used to form three-dimensional images of defects in metal. The problem developed in terms of deconvolution in multiple dimensions to improve resolution of images blurred by the measuring system and degraded by noise is reduced to solution of a linear equation of the form y=Hx, where H is called the imaging operator H may be separated into the Kronecker product of smaller banded-Toeplitz matrices V(X)S(X)P. This structure is used to develop an algorithm to solve for X using least squares and singular value decomposition.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125671124","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
Detecting chaotic signals with nonlinear models 用非线性模型检测混沌信号
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.15760/ETD.6448
A. Fraser, Q. Cai
{"title":"Detecting chaotic signals with nonlinear models","authors":"A. Fraser, Q. Cai","doi":"10.15760/ETD.6448","DOIUrl":"https://doi.org/10.15760/ETD.6448","url":null,"abstract":"Hidden Markov models of chaotic signals have been used in numerical detection experiments. For broadband deterministic chaotic signals masked with noise having identical spectra at an SNR of -15 db, the experiments found flawless receiver operating characteristics. In noisy environments the performance of models trained on noise-free signals can be improved by training on signals contaminated by noise typical of the test environment. Continuous valued scalar outputs at each discrete hidden state are modeled as Gaussians with means that depend autoregressively on previous outputs.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126054931","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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