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Fifth ASSP Workshop on Spectrum Estimation and Modeling最新文献

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Bispectral analysis of speckled images 斑点图像的双光谱分析
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205528
S. Wear, M. Raghuveer
{"title":"Bispectral analysis of speckled images","authors":"S. Wear, M. Raghuveer","doi":"10.1109/SPECT.1990.205528","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205528","url":null,"abstract":"Coherent speckle noise is modeled as a multiplicative noise process. Using a logarithmic transformation, this speckle noise is converted to a signal independent, additive process which is close to Gaussian when an integrating aperture is used. Bispectral reconstruction of speckle-degraded images is performed on such logarithmically transformed images when independent multiple snapshots are available.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"20 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":"121394805","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: 3
Source localization in a multipath environment using random or deterministic signals 使用随机或确定性信号的多路径环境中的源定位
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205556
Shaolin Li, P. Schultheiss
{"title":"Source localization in a multipath environment using random or deterministic signals","authors":"Shaolin Li, P. Schultheiss","doi":"10.1109/SPECT.1990.205556","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205556","url":null,"abstract":"The paper develops a general theory of array processing in a multipath environment. It works with sources radiating bandlimited Gaussian or deterministic signals in confined spaces such as an underwater acoustic channel. Cramer-Rao bounds on the mean square error of source location parameter estimates are used to evaluate the effects of signal properties, sensor array geometry, source location parameters and propagation conditions on localization accuracy. General expressions are calculated for the minimum mean square error of source location parameters in terms of a generalized post-beamforming signal to noise ratio beta /sub k/ at frequency omega /sub k/ and the vectors of transfer functions from the source to various sensors. A comparison is made between the location accuracy attainable with random and with deterministic signals. Also explored are the effects on location accuracy of array geometry, possible uncertainties in propagation conditions and uncertainties in array orientation.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"346 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":"115893653","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
Adaptive detection in subspaces 子空间的自适应检测
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205567
B. V. Van Veen, C.H. Lee
{"title":"Adaptive detection in subspaces","authors":"B. V. Van Veen, C.H. Lee","doi":"10.1109/SPECT.1990.205567","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205567","url":null,"abstract":"Considers subspace based adaptive detection in the context of the likelihood ratio test studied by Kelly (1986). The probability of false alarm for this test depends only on the subspace dimension while the probability of detection is a function of the subspace. The authors propose choosing the transformation onto the subspace to maximize the probability of detection over a likely class of noise and interference scenarios. An approximate solution to this optimization problem is described. The approach can lead to dramatic increases in the probability of detection given a fixed number of data observations due to a large gain in the statistical stability associated with the reduced dimension subspace. The relationship between subspace design for adaptive detection and partially adaptive beamformer design is explored. Simulations verify the analysis.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"84 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":"116275813","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
An order selection criterion via simultaneous estimation/detection theory 基于同时估计/检测理论的订单选择准则
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205568
B. Baygun, A. Hero
{"title":"An order selection criterion via simultaneous estimation/detection theory","authors":"B. Baygun, A. Hero","doi":"10.1109/SPECT.1990.205568","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205568","url":null,"abstract":"Shows that optimal joint estimation and detection theory developed by Hero and Kim (see Proc. IEEE Int. Conf. Acoust., Speech, and Sig. Proc. P.2759, 1990) can be used to obtain an order selection criterion which optimizes parameter estimation performance under a constraint on false alarms P/sub FA/<or= alpha . Unlike other selection criteria, this order selection criterion is finite sample optimal for signal parameter estimation. As an application the authors consider signal detection and frequency classification for a signal with an unknown number of equal power harmonic components in a white noise background of unknown power. On the basis of this simple example they conclude that significant gains in worst case classification performance can be achieved using the proposed order selection criterion.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"8 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":"124770085","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
Parameter estimation for filtered discrete fractal signals 滤波离散分形信号的参数估计
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205596
A. Tewfik, Mohamed Deriche
{"title":"Parameter estimation for filtered discrete fractal signals","authors":"A. Tewfik, Mohamed Deriche","doi":"10.1109/SPECT.1990.205596","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205596","url":null,"abstract":"The problems of estimating the parameters of discrete fractals and filtered discrete fractals directions are considered. A maximum likelihood approach for estimating the parameters of pure fractals is presented. In particular, it is shown that the computation of the likelihood function does not require any matrix inversion as previously thought. For filtered fractals, an iterative procedure is proposed to estimate the parameters of the fractal signal and those of the shaping filter. The procedure has been shown to converge experimentally.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"23 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":"116754181","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
Statistical comparison of subspace based DOA estimation algorithms in the presence of sensor errors 存在传感器误差时基于子空间的DOA估计算法的统计比较
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205601
Fu Li, R. Vaccaro
{"title":"Statistical comparison of subspace based DOA estimation algorithms in the presence of sensor errors","authors":"Fu Li, R. Vaccaro","doi":"10.1109/SPECT.1990.205601","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205601","url":null,"abstract":"A non-asymptotic statistical performance analysis using matrix approximation is applied to subspace based algorithms for direction-of-arrival (DOA) estimation in the presence of sensor errors. In particular, the MUSIC, min-norm, state-space realization (TAM and DDA) and ESPRIT algorithms are analyzed. An analytical expression of the variance of the DOA estimation error is developed for theoretical comparison in a greatly simplified and self-contained fashion. The tractable formulas provide insight into the algorithms. Simulation results verify the analysis.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"35 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":"115803258","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: 22
On detection with a class of matched filters and higher-order statistics 一类匹配滤波器和高阶统计量的检测
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205579
B. Sadler, G. Giannakis
{"title":"On detection with a class of matched filters and higher-order statistics","authors":"B. Sadler, G. Giannakis","doi":"10.1109/SPECT.1990.205579","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205579","url":null,"abstract":"The authors of an earlier paper (G.B. Giannakis and M.K. Tsatsanis, IEEE Trans. Acoust. Speech Signal Process, vol.38, no.7, p.1284-1990). Propose examining the zero-th lag of the higher-order (>2) cumulant of the output of a matched filter for detection. This approach exploits the desirable properties of cumulants including their insensitivity to additive colored Gaussian noise of unknown covariance. A binary hypothesis test is formulated which chooses between two Gaussian distributions which arise from the asymptotic cumulant estimator's behavior. The detection results of the earlier paper are extended to a class of filters which include the matched filter, phase-only matched filters, and inverse filters.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"55 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":"125492664","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
Spectral characterization of n-th order cyclostationarity n阶循环平稳性的光谱表征
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205585
William A. Gardner
{"title":"Spectral characterization of n-th order cyclostationarity","authors":"William A. Gardner","doi":"10.1109/SPECT.1990.205585","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205585","url":null,"abstract":"The spectral characterization of second-order (or wide-sense) cyclostationarity gives rise to a generalization of the Wiener relation between the power spectral density and the autocorrelation associated with second-order stationary time-series. This generalization, called the cyclic Wiener relation, is a Fourier transform relation between the spectral autocorrelation function and the cyclic temporal autocorrelation function, both defined in terms of time averages on a single time-series. The spectral characterization is generalized from second-order cyclostationarity to n-th order cyclostationarity for n=2,3,4,5,. . ., and some basic properties of the generalised spectral characterization are presented. These include a further generalization of the Wiener relation, called the n-th order cyclic Wiener relation, which relates the n-th order joint cyclic temporal moment function to the n-th order joint spectral moment function.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"404 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":"132538130","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: 18
Efficient, parallel adaptive eigenbased techniques for direction of arrival estimation and tracking 有效的、并行的、基于特征的方向估计和跟踪技术
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205605
K.-B. Yu
{"title":"Efficient, parallel adaptive eigenbased techniques for direction of arrival estimation and tracking","authors":"K.-B. Yu","doi":"10.1109/SPECT.1990.205605","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205605","url":null,"abstract":"Eigenspace decomposition is used in source location estimation, high-resolution frequency estimation and beamforming problems. In each case, either the eigenvalue decomposition (EVD) of a covariance matrix or the singular value decomposition (SVD) of a data matrix is required. The authors address the problem of recursive updating the EVD of a covariance matrix given the EVD of the previous matrix. This recursive algorithm is developed for multiple target angle tracking in a nonstationary environment. Simulation results include the numerical performance of this algorithm as well as its performance in high-resolution angle tracking.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","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":"121123093","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
Worst-case Cramer-Rao bound for parametric estimation of superimposed signals 叠置信号参数估计的最坏情况Cramer-Rao界
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205572
S. Yau, Y. Bresler
{"title":"Worst-case Cramer-Rao bound for parametric estimation of superimposed signals","authors":"S. Yau, Y. Bresler","doi":"10.1109/SPECT.1990.205572","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205572","url":null,"abstract":"The problem of parameter estimation of superimposed signals in white Gaussian noise is considered and the effect of the amplitude correlation structure on the Cramer-Rao bounds is studied. The best and worst conditions are found using various criteria, and closed form expressions for the bounds, which are free from the nuisance parameters of correlation structure, are derived. The results are applied to the example of parameter estimation of superimposed sinusoids, or plan-wave direction finding in white Gaussian noise, determining best and worst conditions on the signal cross-correlation and relative phases.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"1 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":"115788733","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: 11
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