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Fifth ASSP Workshop on Spectrum Estimation and Modeling最新文献

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A computationally efficient 'doubly-steered' approximation to the Frost beamformer for use with short observation times 一种计算效率高的“双导向”弗罗斯特波束形成器近似值，用于短观测时间
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205554
D. Swingler, J. Krolik
{"title":"A computationally efficient 'doubly-steered' approximation to the Frost beamformer for use with short observation times","authors":"D. Swingler, J. Krolik","doi":"10.1109/SPECT.1990.205554","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205554","url":null,"abstract":"It is demonstrated that it is possible to approach the performance of a Frost (1972) beamformer but with significantly less computational effort by pre-steering in only few primary directions equi-spaced in sin( theta ) terms, and using linear constraints to perform secondary steering about the primary directions. Various issues concerning the number of taps, the dimension of the constraint space statistical stability and time-bandwidth product are discussed. Results are shown using both simulated and real towed array data.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"54 25 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":"124697341","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
On identifiability, maximum-likelihood, and novel HOS based criteria 关于可识别性、最大似然性和基于居屋计划的新准则
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205578
G. Giannakis
{"title":"On identifiability, maximum-likelihood, and novel HOS based criteria","authors":"G. Giannakis","doi":"10.1109/SPECT.1990.205578","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205578","url":null,"abstract":"Considers estimation and classification problems for a stretch of stationary data containing a non-Gaussian linear process and additive Gaussian noise of unknown covariance (AGN/UC). To allow general noncausal and nonminimum phase (NC/NMP) ARMA models, and develop estimation and classification schemes which are immune to AGN/UC higher-order statistics (HOS) are resorted to. Time-domain optimality criteria are discussed which employ a finite set of sample cumulant lags, while the frequency-domain criteria involve sample polyspectral lags.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"27 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":"125019129","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
A new array signal processing method via exploitation of cyclostationarity 基于循环平稳性的阵列信号处理新方法
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205553
Guanghan Xu, T. Kailath
{"title":"A new array signal processing method via exploitation of cyclostationarity","authors":"Guanghan Xu, T. Kailath","doi":"10.1109/SPECT.1990.205553","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205553","url":null,"abstract":"The authors consider the problem of direction finding of radar or sonar communication signals based on the data received by sensor arrays. Most communication (modulated) signals exhibit cyclostationarity corresponding to the underlying periodicity which may be carrier frequency or baud rate. By exploiting cyclostationarity, one can significantly improve the signal detection capability, i.e. null out other co-channel interferences and stationary background noise. They propose a new approach for array signal processing via exploitation of cyclostationarity, which is asymptotically exact for either narrow-band or broad-band sources. Moreover, the new technique has implementation advantages over the existing techniques. The simulation results indicate a significantly better performance than that of the prior algorithms.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"21 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114038650","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
Methods for estimating the autocorrelation and power spectral density functions when there are many missing data values 缺失数据多时自相关函数和功率谱密度函数的估计方法
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205540
N. Grossbard, E. Dewan
{"title":"Methods for estimating the autocorrelation and power spectral density functions when there are many missing data values","authors":"N. Grossbard, E. Dewan","doi":"10.1109/SPECT.1990.205540","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205540","url":null,"abstract":"A new method for estimating the autocorrelation and the crosscorrelation has been developed. The resulting estimates are usually more accurate than the classical values. The method is particularly useful when there are many missing data values. For the case when there are many missing data values, it is suggested that a power spectral density (PSD) of the autocorrelation function can be developed. The resulting PSD can easily be mapped into the PSD of the original data. Towards this end, Burg's technique has been applied to the autocorrelation and the results of the application are presented.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"27 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":"114486648","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
The effects of perturbations on matrix-based signal processing 扰动对矩阵信号处理的影响
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205566
D. Tufts
{"title":"The effects of perturbations on matrix-based signal processing","authors":"D. Tufts","doi":"10.1109/SPECT.1990.205566","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205566","url":null,"abstract":"The effects of perturbations of the elements of a matrix on functions of the matrix, such as eigenvalues and eigenvectors, was a subject of great interest to applied mathematicians who were working in the early part of this century. For example, Rayleigh and others analyzed complicated linear systems by considering them to be perturbed versions of simpler, analytically tractable systems. Calculation of eigenvalue changes due to the perturbations were used to calculate corresponding changes in the natural frequencies of the system. This is of course very similar to recent work, except that in recent work the perturbations are usually assumed to be due to measurement noise.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"25 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":"124009326","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
Linear predictive, eigenvalue oriented pitch-contour measurement for forensic voice identification 线性预测、特征值导向的法庭语音识别的音高轮廓测量
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205595
L. Arevalo
{"title":"Linear predictive, eigenvalue oriented pitch-contour measurement for forensic voice identification","authors":"L. Arevalo","doi":"10.1109/SPECT.1990.205595","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205595","url":null,"abstract":"Presents a novel pitch-contour measurement scheme for highly noise-contaminated speech signals as found in the forensic voice-identification problem. The base of the method is the synthesis of the covariance function that arises from an idealized description of the well-known SIFT-algorithm. The retrieval of the involved sinusoidal frequencies is carried out by means of an AR-model. The issues of proper AR-algorithm choice and model-order selection are considered, thus leading to a order-adapting scheme that performs extremely robustly. The adaptation is based on a stability test which is embedded in the corresponding order-recursive algorithm. The robustness of the proposed technique is evaluated with a large amount of speech-data for different kinds and levels of distortions.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"70 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":"115108973","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
AR model order selection based on bispectral cross-correlation 基于双谱互相关的AR模型阶数选择
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/78.136555
J. Noonan, V. Premus, J. Irza
{"title":"AR model order selection based on bispectral cross-correlation","authors":"J. Noonan, V. Premus, J. Irza","doi":"10.1109/78.136555","DOIUrl":"https://doi.org/10.1109/78.136555","url":null,"abstract":"A new method is presented for optimal model order selection for autoregressive bispectrum estimation. Simulation results are reviewed which demonstrate the method's performance for the case of quadratically coupled sinusoids embedded in white Gaussian noise.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"31 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":"122876432","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 signal subspace approach for interference locations in adaptive antenna arrays 自适应天线阵列干扰定位的一种信号子空间方法
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205598
M. Amin
{"title":"A signal subspace approach for interference locations in adaptive antenna arrays","authors":"M. Amin","doi":"10.1109/SPECT.1990.205598","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205598","url":null,"abstract":"Closed-loop adaptive weights corresponding to different mainbeam directions are shown to have sufficient information which can be processed by eigenstructure methods to yield the signal and noise subspaces without the need for an estimate of the covariance matrix. Since adaptive algorithms can be implemented using continuous-time adaptive loops, locating the interferences using only the adaptive weights provides an option to avoid sampling and, in turn, eliminates the need for the data snap shots. This option is important to consider when operating at high frequency and with large signal bandwidth. The combined adaptive-eigenstructure approach is presented using exact statistics and the assumption of narrow-band uncorrelated jamming sources.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"68 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":"132901824","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
Cumulant-based adaptive FIR filtering for frequency estimation 基于累积量的自适应FIR滤波频率估计
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205583
S. Dianat, S. Venkataraman
{"title":"Cumulant-based adaptive FIR filtering for frequency estimation","authors":"S. Dianat, S. Venkataraman","doi":"10.1109/SPECT.1990.205583","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205583","url":null,"abstract":"Proposes an alternative technique for adaptive line enhancers (ALE). The new technique uses the fourth order cumulant, which is insensitive to white or colored Gaussian noise. The conventional ALE relies on measurements of the autocorrelation and/or power spectrum of the observations, or on the assumption that the additive noise is white. The autocorrelation is affected by additive Gaussian noise, and in many practical situations, the noise is spatially or temporally correlated. The proposed technique is insensitive to additive Gaussian noise. This is the main advantage of this new technique. Computer simulation has been performed.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"183 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":"115066717","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
Generalized matched filters 广义匹配滤波器
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205571
B. Picinbono
{"title":"Generalized matched filters","authors":"B. Picinbono","doi":"10.1109/SPECT.1990.205571","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205571","url":null,"abstract":"Many signal processing problems can be reduced to the research of an optimal filter minimizing a quadratic criterion of power under various constraints. In spite of the variety of these problems, as well as of their solutions, there exists a unity between them, which leads to their consideration under a unified framework called matched filtering. After a general formulation of matched filtering problems and calculation of their solution, various examples are presented of applications including extensions.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":" 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113951104","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
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