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

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Detection and adaptive estimation of stable processes with fractional lower-order moments 分数阶矩稳定过程的检测与自适应估计
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246856
M. Shao, C. Nikias
{"title":"Detection and adaptive estimation of stable processes with fractional lower-order moments","authors":"M. Shao, C. Nikias","doi":"10.1109/SSAP.1992.246856","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246856","url":null,"abstract":"An important class of statistical models for nonGaussian phenomena is that of so-called heavy-tailed distributions, whose density functions decay in the tails less rapidly than the Gaussian density function. These distributions tend to produce large-amplitude excursions from the average value more frequently than the Gaussian distribution. Among all the heavy-tailed distributions, the family of stable distributions has been found to provide useful models for phenomena observed in many diverse fields, such as economics, physics and electrical engineering. It is capable of modeling a wide variety of nonGaussian phenomena, from those similar to the Gaussian to those similar to the Cauchy. This paper presents some preliminary results on signal detection and estimation under the nonGaussian stable assumption.<<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":"125862921","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
Single sensor detection and classification of multiple sources by higher-order spectra 单传感器检测与多源高阶光谱分类
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246819
M. Dogan, J. Mendel
{"title":"Single sensor detection and classification of multiple sources by higher-order spectra","authors":"M. Dogan, J. Mendel","doi":"10.1109/SSAP.1992.246819","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246819","url":null,"abstract":"A method to detect the number of nonGaussian sources is distinguished by its ability to perform detection with single sensor data, and is blind to Gaussian observation noise. After the detection procedure, the authors propose an algorithm for classification of sources employing a prior knowledge of their spectra. Simulation results indicate the performance of the algorithms.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"50 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":"130091972","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
Detection of active linear FM sonar signals using the bispectrum 利用双频谱探测有源线性调频声纳信号
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246820
N. Harned, H. M. Valenzuela
{"title":"Detection of active linear FM sonar signals using the bispectrum","authors":"N. Harned, H. M. Valenzuela","doi":"10.1109/SSAP.1992.246820","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246820","url":null,"abstract":"The paper focuses on the problem of a returning active sonar signal masked by environmental background noise. According to theory, if the original signal is sufficiently non-Gaussian the bispectrum of the received signal-plus-noise will contain only information due to the signal, and the white Gaussian noise will be suppressed. A bispectrum detector has been developed which utilizes the a priori knowledge of the input active sonar signal by selecting regions of the bispectral domain where the magnitude exceeds a significance test threshold. The presence of the returning sonar signal in noise is then detected by measuring bispectral content in those regions. Linear FM (chirp) signals of several frequencies and sweep ranges are generated to simulate active sonar input, and corrupted by additive white Gaussian noise to produce various signal-to-noise ratios. Receiver Operating Characteristic curves for these signals demonstrate that this new detector provides gain over a bispectrum detection method previously presented in the literature. Detection results are presented for the original signals with additional multipath returns.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"52 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":"121856249","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
Comparison of parabolic equation and adiabatic mode propagation models for matched-field processing in range-dependent environments 距离相关环境下匹配场处理的抛物方程和绝热模式传播模型的比较
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246865
C. Zala, J. Ozard
{"title":"Comparison of parabolic equation and adiabatic mode propagation models for matched-field processing in range-dependent environments","authors":"C. Zala, J. Ozard","doi":"10.1109/SSAP.1992.246865","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246865","url":null,"abstract":"Matched-field processing of underwater acoustic array data requires a knowledge of the environment and the use of a suitable propagation model from which field replicas can be computed. For range-dependent environment, parabolic equation or mode-based propagation modelling techniques may be used to provide these replicas. A comparison is presented for environments with sloping bottoms, using the order 3 Pade wide angle approximation for the parabolic equation to ensure precision. The numerical simulations involved generation of 'measured' covariance matrices using PE fields; these were then matched with replicas computed using adiabatic modes. The results showed that for slopes up to 2 degrees , the two techniques yield similar matches, but the adiabatic model provides up to a 100-fold speed advantage.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"13 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":"117184786","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
A novel solution to multi-scale deconvolution of sensor array signals 传感器阵列信号多尺度反褶积的一种新方法
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246888
T. Akgul, A. El-Jaroudi, M. Simaan
{"title":"A novel solution to multi-scale deconvolution of sensor array signals","authors":"T. Akgul, A. El-Jaroudi, M. Simaan","doi":"10.1109/SSAP.1992.246888","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246888","url":null,"abstract":"The authors' model assumes that the data are generated as a convolution of an unknown wavelet with various time-scaled versions of an unknown reflectivity sequence. Their approach relies on exploiting the redundancy in the measurements due to time-scaling. No assumptions are made on the statistical properties of these signals. The deconvolution problem is solved as a quadratic minimization subject to a quadratic constraint. The results are illustrated with a simulation example.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"32 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":"115022568","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
Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods 增强相干信号子空间方法的自动聚焦和跟踪技术
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246773
C. Tsai, J. Yang
{"title":"Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods","authors":"C. Tsai, J. Yang","doi":"10.1109/SSAP.1992.246773","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246773","url":null,"abstract":"The authors formulate the wideband minimum variance distortionless response (MVDR) as the auto-focusing criterion. By emulation results of single-group and multi-group sources, they show that the optimal focusing angles can achieve the wideband MVDR criterion and result in minimum output power of the beamformer. The steepest descent algorithm is suggested for iteratively updating the focusing angles for beamformers to null both stationary and nonstationary interferences. For direction finding applications, the same auto-focusing procedures can be applied directly by presuming a dummy looking direction. Simulation results show that the performances of beamforming and direction finding applications are greatly improved by the proposed auto-focusing algorithm.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"30 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":"126416647","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
Two-dimensional memory nonlinearities and their application to blind deconvolution problems 二维记忆非线性及其在盲反卷积问题中的应用
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246812
Y. Chen, C. Nikias
{"title":"Two-dimensional memory nonlinearities and their application to blind deconvolution problems","authors":"Y. Chen, C. Nikias","doi":"10.1109/SSAP.1992.246812","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246812","url":null,"abstract":"Blind deconvolution for a nonminimum phase linear time invariant system is possible only if some nonlinear estimates of the input or the higher-order statistics of the output are employed. When the convolutional noise is colored, the optimum estimates becomes memory nonlinear functions of the observations. Closed form solutions for the two-dimensional memory nonlinear MAP estimates depending on only the current observation and the immediately preceding one are derived for the following a priori probability density functions: (1) uniform, (2) Laplace and (3) exponential.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"48 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":"134142050","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
The effect of normalization and quantization on long-term spectral integration 归一化和量化对长期光谱积分的影响
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246807
B. Maranda
{"title":"The effect of normalization and quantization on long-term spectral integration","authors":"B. Maranda","doi":"10.1109/SSAP.1992.246807","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246807","url":null,"abstract":"It is found that performance loss due to the normalization is small, less than 0.2 dB for an example. The loss due to quantization depends on the number of bits used. For one-bit (two-level) quantization, the loss is approximately 1 dB. This can be reduced to less than 0.1 dB by the use of three bits (8 levels) in the quantizer.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"20 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131790799","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
Wavelets and fractals: a comparative study 小波与分形:比较研究
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246844
C. Akujuobi, A.Z. Baraniecki
{"title":"Wavelets and fractals: a comparative study","authors":"C. Akujuobi, A.Z. Baraniecki","doi":"10.1109/SSAP.1992.246844","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246844","url":null,"abstract":"Wavelets and fractals can be used as analyzing tools in many areas of sciences and engineering. However, they seem to have many areas of similarities. This paper explores these potential areas, what they are and how they can be used, at least, in a theoretical sense. Some promising results have been found and are documented.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"64 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":"131404966","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
Identification of nonminimum phase rational systems 非最小相位合理系统的辨识
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing Pub Date : 1992-10-07 DOI: 10.1109/SSAP.1992.246871
S. Pillai, W.C. Lee
{"title":"Identification of nonminimum phase rational systems","authors":"S. Pillai, W.C. Lee","doi":"10.1109/SSAP.1992.246871","DOIUrl":"https://doi.org/10.1109/SSAP.1992.246871","url":null,"abstract":"This paper addresses the problem of identifying such systems from partial information regarding their output autocorrelation and impulse response sequences. Since autocorrelation sequences can identify systems only up to their minimum phase counterparts, by employing portions of the impulse response, it exhibits closed form solutions in the rational instance that match the given data.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"80 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":"123051869","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
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