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Fifth ASSP Workshop on Spectrum Estimation and Modeling最新文献

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Adaptive time-varying spectral analysis for multiple narrowband signals 多窄带信号的自适应时变频谱分析
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205591
A. Fineberg, R. Mammone
{"title":"Adaptive time-varying spectral analysis for multiple narrowband signals","authors":"A. Fineberg, R. Mammone","doi":"10.1109/SPECT.1990.205591","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205591","url":null,"abstract":"An adaptive technique to compute the Fourier coefficients of a time-varying spectrum is presented. The algorithm performs a least squares decomposition of the signal onto a nonharmonic Fourier basis. The algorithm updates the spectral estimate on a sample by sample basis in the time domain. This technique produces a signal decomposition with very good localization in both time and frequency domains. The detection of tones spaced closer than expected by the uncertainty principle (super-resolution) is shown by computer simulation. Computational complexity issues of the new method are also discussed.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"15 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":"128482202","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
Simultaneous sector processing via ROOT-MUSIC for large sensor arrays 同时扇区处理通过ROOT-MUSIC为大型传感器阵列
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205522
M. Zoltowski, G. Kautz, S. D. Silverstein
{"title":"Simultaneous sector processing via ROOT-MUSIC for large sensor arrays","authors":"M. Zoltowski, G. Kautz, S. D. Silverstein","doi":"10.1109/SPECT.1990.205522","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205522","url":null,"abstract":"A viable means of implementing eigenstructure methods in very large array scenarios is to decompose the full angular spectrum into sub-bands via spatial filtering and to subsequently apply beamspace MUSIC to each sub-band. Despite the non-Vandermonde structure of the beamspace manifold vector, a computationally efficient scheme for implementing ROOT-MUSIC in beamspace is developed. The use of classical tapering schemes such as the Hanning and Hamming windows is incorporated as an option in beamspace ROOT-MUSIC for the purpose of combating the pejorative effects of strong out-of-band sources.<<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":"133006904","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
Real time deconvolution using the conjugate gradient algorithm 使用共轭梯度算法的实时反卷积
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205594
T. Sarkar, R.D. Brown
{"title":"Real time deconvolution using the conjugate gradient algorithm","authors":"T. Sarkar, R.D. Brown","doi":"10.1109/SPECT.1990.205594","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205594","url":null,"abstract":"A solution to the deconvolution problem is presented using iterative methods, which has been implemented in real time on the AT&T DSP-32 processor. Given the output of a linear system, and its transfer function, a procedure is shown to compute the input time function. Since there are, in general, infinitely many inputs which will produce the same output time function, the problem cannot be solved directly. However, using an iterative approach it is possible to converge to one solution. The technique uses the conjugate gradient algorithm to obtain a candidate input function and post processes the function based on its periodicity in the frequency domain to enhance resolution.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"16 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":"127996998","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
Detection of Gaussian signals on a sensor array 传感器阵列上高斯信号的检测
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205559
Q. Wu, D. Fuhrmann, K. Wong, J. Reilly
{"title":"Detection of Gaussian signals on a sensor array","authors":"Q. Wu, D. Fuhrmann, K. Wong, J. Reilly","doi":"10.1109/SPECT.1990.205559","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205559","url":null,"abstract":"In array signal processing, the most common model describing the received signals and noise is Gaussian. It is well known that if the model is proper, the estimator which gives the best performance is the one constructed by fully using the statistic information of the model. The authors develop a detector for the number of signals. Such an estimator is constructed with utilising the log-likelihood function and an information theoretical criterion. The consistency of the detector is proved and the simulations with a comparison to the MDL detector are also presented.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"90 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":"131030402","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
Finite data performance analysis of MVDR beamformer with spatial smoothing 空间平滑MVDR波束形成器的有限数据性能分析
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205525
K. Raghunath, V. Reddy
{"title":"Finite data performance analysis of MVDR beamformer with spatial smoothing","authors":"K. Raghunath, V. Reddy","doi":"10.1109/SPECT.1990.205525","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205525","url":null,"abstract":"Analyzes the finite-data performance of MVDR beamformer with spatial smoothing, using first order perturbation theory. In particular, the authors develop expressions for the mean values of the power gain in any direction of interest, the output power and the norm of the weight-error vector, as a function of the number of snapshots and the number of smoothing steps. They simplify these expressions for a single interference case without smoothing to show explicitly how the SNR, spacing of the interference from the desired signal and the correlation between them influence the beamformer performance. Simulations are used to verify the usefulness of the theoretical expressions and the results show an excellent agreement with predicted results.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"134 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":"114522908","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
Signal subspace method of multiple source location 多信号源定位的信号子空间方法
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205549
J. Cadzow
{"title":"Signal subspace method of multiple source location","authors":"J. Cadzow","doi":"10.1109/SPECT.1990.205549","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205549","url":null,"abstract":"A high resolution parametric signal subspace algorithm for estimating the direction-of-arrivals of multiple wavefronts impinging on an array is presented. This algorithm is effective in both the incoherent and coherent wavefront case.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"197 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":"121280982","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
Spatial localization of neural sources using the magnetoencephalogram 利用脑磁图对神经源的空间定位
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205593
J. Mosher, P. Lewis, R. Leahy
{"title":"Spatial localization of neural sources using the magnetoencephalogram","authors":"J. Mosher, P. Lewis, R. Leahy","doi":"10.1109/SPECT.1990.205593","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205593","url":null,"abstract":"An array of superconducting quantum interference device (SQUID) biomagnetometers may be used to measure the spatio-temporal neuromagnetic field or magnetoencephalogram (MEG) produced by the brain in response to a given sensory stimulus. A popular model for the neural activity that produces these fields is a set of current dipoles. It is assumed that the location, orientation, and magnitude of the dipoles are unknown. The authors show how the problem may be decomposed into the estimation of the dipole locations using nonlinear minimization followed by linear estimation of the associated moment time series. The methods described are demonstrated in a simulated application to a three dipole problem. Cramer-Rao lower bounds are derived for the white Gaussian noise case.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"34 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":"124078714","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
Robust frequency estimation of sinusoids in the presence of outliers and noise 存在异常值和噪声的正弦波的鲁棒频率估计
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205542
S. Oestreich, U. Appel
{"title":"Robust frequency estimation of sinusoids in the presence of outliers and noise","authors":"S. Oestreich, U. Appel","doi":"10.1109/SPECT.1990.205542","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205542","url":null,"abstract":"The authors consider robust methods for frequency estimation of sinusoids. The sinusoids are disturbed by additive white noise and patches of outliers or missing data. The location of these patches is unknown. Standard methods for frequency estimation like the periodogram, the modified covariance and an eigendecomposition method underlie their approach. They provide algorithms for enhancing these estimates and studies of the performance of procedures which are known to be well suited for the problem at hand (e.g. iterated weighted least squares). The results shown provide some information about the reliability of frequency estimates under such conditions as well as support for selecting an appropriate estimation procedure in other situations.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"24 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":"126451161","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
Performance analysis of time delay estimation of a signal with arbitrary spectrum 任意频谱信号时延估计的性能分析
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205544
H. Messer, S. Tsruya
{"title":"Performance analysis of time delay estimation of a signal with arbitrary spectrum","authors":"H. Messer, S. Tsruya","doi":"10.1109/SPECT.1990.205544","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205544","url":null,"abstract":"The fundamental limitations of passive time delay estimation (TDE) are well understood for the case of a Gaussian, stationary single source of known, flat spectrum. The authors present results concerning the sensitivity of the achievable estimation performance of the signal source spectra. By applying the Barankin bound to the multi-dimensional parameter estimation problem, they derive an expression for a lower bound on the time delay estimation error of a broadband source with unknown spectral levels. They show that, when large estimation errors are assumed (below the threshold), the estimation performance is no longer insensitive to prior knowledge of the source spectra. However, in most practical situations the degradation in the performance of the TDE due to the lack of prior knowledge of the source spectral parameters is small. Nevertheless, the achievable estimation performance at a given signal-to-noise ratio depends strongly on the shape of the source spectrum.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"38 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":"124695234","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
Direction-finding using a laboratory experimental array testbed 利用实验室实验阵列测向试验台
Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI: 10.1109/SPECT.1990.205557
J. Pierre, M. Kaveh
{"title":"Direction-finding using a laboratory experimental array testbed","authors":"J. Pierre, M. Kaveh","doi":"10.1109/SPECT.1990.205557","DOIUrl":"https://doi.org/10.1109/SPECT.1990.205557","url":null,"abstract":"Describes the performance of several direction finding algorithms using a laboratory sensor array testbed, constructed at the University of Minnesota. In recent years, many 'high-resolution' direction-finding algorithms have been investigated using computer simulation and theoretical analysis. An experimental array testbed allows further evaluation of the capabilities and limitations of these algorithms. The system basically consists of a linear array of eight ultrasonic transducers and several transmitters operating at 40 kHz in air. Phase and gain errors, encountered in an actual array, require calibration in order to improve the results from 'high-resolution' direction-finding algorithms. Methods of calibration are described. Experimental results are presented, which compare the performance of several well known algorithms, including MUSIC, ROOT-MUSIC, MIN-NORM, ESPRIT, and a weighted norm version of MUSIC called WMUSIC.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"50 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":"121579506","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
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