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[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics最新文献

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Processes with level-dependent delay (QSO 0957+561 gravitational lens) 具有能级相关延迟的过程(QSO 0957+561引力透镜)
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264532
D. Thomson, R. Schild
{"title":"Processes with level-dependent delay (QSO 0957+561 gravitational lens)","authors":"D. Thomson, R. Schild","doi":"10.1109/HOST.1993.264532","DOIUrl":"https://doi.org/10.1109/HOST.1993.264532","url":null,"abstract":"The problem considered is that of finding the statistics of an irregularly-sampled, non-Gaussian astronomical process with internal delays where the delays depend on the intensity of the source.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114195824","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
Experimental performance of some higher-order cumulant detectors for hydroacoustic transients 水声瞬态高阶累积量探测器的实验性能
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264571
E. Sangfelt, L. Persson
{"title":"Experimental performance of some higher-order cumulant detectors for hydroacoustic transients","authors":"E. Sangfelt, L. Persson","doi":"10.1109/HOST.1993.264571","DOIUrl":"https://doi.org/10.1109/HOST.1993.264571","url":null,"abstract":"The authors quantify the performance of broadband second-, third-, and fourth-order cumulant and moment based detectors applied to hydroacoustic transients transmitted through shallow water. Through simulations on real data they obtain probabilities of detection as a function of signal-to-noise ratio (SNR) for chosen false alarm rates. In the investigated SNR range -20 dB to 5 dB the overall performance of the fourth-order detectors is superior to that of the second-order (energy) and third-order detector.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115520829","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
An adaptive parametric time delay estimation of pulse signal via higher order statistics 基于高阶统计量的脉冲信号自适应参数时延估计
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264568
P. Lin, S. Mao
{"title":"An adaptive parametric time delay estimation of pulse signal via higher order statistics","authors":"P. Lin, S. Mao","doi":"10.1109/HOST.1993.264568","DOIUrl":"https://doi.org/10.1109/HOST.1993.264568","url":null,"abstract":"The adaptive algorithm for parametric time delay estimate of pulse signal in Gaussian noise is studied by using third order statistics. The results of computer simulations show that the approach, that used the third order cross-correlation function to solve, quite well, the problem of the time delay estimation due to the correlated noise in the case where the signal is assumed to be a nonGaussian random signal and the noise to be Gaussian (white or colored), fails to deal with the pulse signal case. A modification to the algorithm is made to estimate the time delay which is presented by the parameter of the AR model by using the adaptive algorithm. Simulations are included to show the efficiency of the modification to the pulse signal.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123112475","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
Detection and estimation of the instantaneous frequency of polynomial-phase signals by multilinear time-frequency representations 多线性时频表示多项式相位信号的瞬时频率检测与估计
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264574
S. Barbarossa
{"title":"Detection and estimation of the instantaneous frequency of polynomial-phase signals by multilinear time-frequency representations","authors":"S. Barbarossa","doi":"10.1109/HOST.1993.264574","DOIUrl":"https://doi.org/10.1109/HOST.1993.264574","url":null,"abstract":"Proposes a class of multilinear time-frequency signal representations particularly useful for the detection and parameter estimation of signals characterized by a slowly varying complex envelope and a polynomial instantaneous phase. The main characteristics of the proposed representation is that it allows one to set up a sequential estimation procedure for estimating the coefficients of the signal instantaneous frequency. The performance of the method are given in terms of receiver operating characteristics and parameter estimation accuracy.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129608883","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: 30
A VLSI architecture for the order recursive estimation of higher order statistics 一种用于高阶统计量阶递归估计的VLSI架构
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264589
H.M. Stellakis, E. Manolakos
{"title":"A VLSI architecture for the order recursive estimation of higher order statistics","authors":"H.M. Stellakis, E. Manolakos","doi":"10.1109/HOST.1993.264589","DOIUrl":"https://doi.org/10.1109/HOST.1993.264589","url":null,"abstract":"To achieve real-time performance in estimating the higher order statistics directly from the incoming time-series data, it is necessary to (a) design faster algorithms by reducing any inherent computational redundancy, and (b) apply parallel processing and pipelining. The authors present a VLSI implementable parallel architecture that computes in order recursive fashion estimates of all the higher order moments and cumulants up to the fourth order, at one of their non-redundant domains of support. The system consists of a tri-array and a farm of processors producing the moment terms and fourth order cumulants respectively. They have applied a systematic array synthesis methodology that guarantees the optimality of both arrays, as well as the appropriate interface between them, so that intermediate data movement and delays are minimized while achieving maximum output throughput.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"157 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128781371","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
Recent developments of the applications of polyspectral analysis to transitioning fluid flows 多光谱分析在过渡流体流动中的应用进展
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264536
M. Hajj, R. Miksad, E. Powers
{"title":"Recent developments of the applications of polyspectral analysis to transitioning fluid flows","authors":"M. Hajj, R. Miksad, E. Powers","doi":"10.1109/HOST.1993.264536","DOIUrl":"https://doi.org/10.1109/HOST.1993.264536","url":null,"abstract":"Higher-order spectral analyses of the velocity fluctuations in a transitioning mixing layer are presented. The phase of the auto-bispectrum is used to measure the phase difference between the fundamental and subharmonic modes. The normalized magnitude of the auto-bispectrum is used as an indication of the goodness of the measured phase difference. Wavenumber mismatch of interacting frequency domain components are obtained from the 'cross-correlation' of the auto-bispectrum at two closely spaced points. Results show that bispectral analysis provide an effective tool to provide crucial information on the transitioning mixing layer.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121343692","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
Model identification and validation of nonstationary seismic signals 非平稳地震信号的模型识别与验证
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264544
D. Maiwald, J. W. Dalle Molle, J. Bohme
{"title":"Model identification and validation of nonstationary seismic signals","authors":"D. Maiwald, J. W. Dalle Molle, J. Bohme","doi":"10.1109/HOST.1993.264544","DOIUrl":"https://doi.org/10.1109/HOST.1993.264544","url":null,"abstract":"The modeling of transient geophysical signals is addressed. The generating mechanisms of seismic signals are time-varying. Therefore, modeling tools associated with the property of nonstationarity have to be employed. The authors use time-dependent ARMA and AR models in order to describe the signals in the time domain. The models are validated by various time-varying second-order spectral measures. They use the second-order cumulant spectrum and the spectogram to initially qualify and identify the nonstationary structure of the seismic signals. Then after the modeling they use the second cumulant spectrum and the rational time-varying spectrum as measures of the statistical validity and/or significance of the model fits. Finally, the application of the proposed algorithms to real seismic data is studied.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"744 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122962413","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
Bounds on moments for band-limited signals 带限信号的矩限
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264580
A. Constantinides, P.T. Stathaki
{"title":"Bounds on moments for band-limited signals","authors":"A. Constantinides, P.T. Stathaki","doi":"10.1109/HOST.1993.264580","DOIUrl":"https://doi.org/10.1109/HOST.1993.264580","url":null,"abstract":"Presents a series of upper bounds on the first, second and third order moments of signals. These bounds as useful in practice in a variety of situations in which an estimate of the performance of the functions of the signals is required. The bounds are derived by constructing positive functions or by making use of the Holder inequalities for different choices of the p and q parameters. The theoretical context in which such bounds are developed and the indication as to how future bounds may conceivably be developed by using these techniques, is analysed. The methodology thus developed is applied to the determination of bounds for both continuous signals and discrete signals and it is shown there that the bounds for the corresponding cases can conceivably be vastly different, and the two cases appear to be converging only when the sampling frequency tends to infinity.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126456204","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
On the identifiability of a quadratic stochastic system 二次型随机系统的可辨识性
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264599
P. Bondon
{"title":"On the identifiability of a quadratic stochastic system","authors":"P. Bondon","doi":"10.1109/HOST.1993.264599","DOIUrl":"https://doi.org/10.1109/HOST.1993.264599","url":null,"abstract":"Quadratic systems are the simplest nonlinear time-invariant systems and correspond to the second term of the Volterra expansion. Such systems appear in various fields of signal processing, in particular in detection and estimation. The author studies the identifiability of a discrete and finite extent quadratic stochastic system, driven by a sequence of independent, identically distributed random variables. When the input is available, the system is identified using cross-cumulants between the input and the output. When the input is unobservable, only the output cumulants up to the third-order are considered.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"21 S4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120839823","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
Detection of radar targets using HOS 利用HOS探测雷达目标
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264545
R. D. Pierce
{"title":"Detection of radar targets using HOS","authors":"R. D. Pierce","doi":"10.1109/HOST.1993.264545","DOIUrl":"https://doi.org/10.1109/HOST.1993.264545","url":null,"abstract":"The application of higher-order statistics (HOS) to the detection of radar targets takes advantage of the HOS characteristic that allows the test statistics to be unbiased by Gaussian noise. To make use of this characteristic using data from a coherent radar, the samples from the radar's synchronous detector are coherently averaged in a formulation of the triple correlation. The HOS method is compared to the classical pulse Doppler method and the quadratic detector. For the examples given, the HOS method shows a one to two dB improvement over classical methods.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115440012","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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