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

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Testing for presence of kth-rder cyclostationarity 存在k阶循环平稳性的检验
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264559
A. V. Dandawate
{"title":"Testing for presence of kth-rder cyclostationarity","authors":"A. V. Dandawate","doi":"10.1109/HOST.1993.264559","DOIUrl":"https://doi.org/10.1109/HOST.1993.264559","url":null,"abstract":"The presence of kth-order cyclostationarity is defined in terms of nonvanishing cyclic cumulants and polyspectra. By exploiting the asymptotic normality and consistency of kth-order sample cyclic statistics, asymptotically optimal chi /sup 2/ tests are developed to detect presence of cycles in the kth-order cyclic- cumulants and polyspectra, without assuming any specific distribution on the data. Statistical tests are derived in both time- and frequency-domain and yield consistent estimates of possible cycles present in the kth-order cyclic-statistics. Explicit algorithms for k<or=4 are discussed. Existing approaches are rather empirical and deal only with k<or=2 case. Simulation results are presented to confirm the performance of the given tests.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"45 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":"125218969","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
Bispectral analysis applied for measurement of nonlinear characteristics of vibration propagation in soft tissues 双谱分析用于测量软组织振动传播的非线性特性
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264533
T. Sato, Y. Mochida, K. Fujii, I. Demin, K. Jhang, K. Kobayashi, M. Kato, K. Kameyama
{"title":"Bispectral analysis applied for measurement of nonlinear characteristics of vibration propagation in soft tissues","authors":"T. Sato, Y. Mochida, K. Fujii, I. Demin, K. Jhang, K. Kobayashi, M. Kato, K. Kameyama","doi":"10.1109/HOST.1993.264533","DOIUrl":"https://doi.org/10.1109/HOST.1993.264533","url":null,"abstract":"A new method of measurement of nonlinear propagation characteristics of low frequency vibration in the tissues by using bispectral analysis is proposed. The main nonlinear characteristic of low frequency vibration in soft tissue can be represented as amplitude ratio of 3rd harmonics to the fundamental frequency components defined by the parameter N. The evolution of N as function of amplitude of low frequency vibration at an observing point in the interested region of tissue is observed, and the parameter of nonlinearity of medium is estimated based on the formulation. For measurement of N the bispectral analysis was adopted so that signal to noise ratio is increased in connection with the ultrasonic pulse Doppler method. Experimental results for agar phantom and pig tissue (pork) are shown.<<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":"128139926","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
Systolic array implementation of recursive bispectrum estimation 收缩阵列实现递归双谱估计
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264590
R. J. Perry, M. Amin
{"title":"Systolic array implementation of recursive bispectrum estimation","authors":"R. J. Perry, M. Amin","doi":"10.1109/HOST.1993.264590","DOIUrl":"https://doi.org/10.1109/HOST.1993.264590","url":null,"abstract":"Presents the systolic array implementation of recursive higher order spectrum in which the bispectrum estimate is updated every data sample. Forward and reverse sequence running Fourier transforms are first systolically realized. The results are then used to drive a second systolic array whose outputs represent the FT of the data third order moment. The proposed systolic array has no global communications with a number of PEs independent of the size of the employed two dimensional lag window.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"186 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":"114171457","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
Joint array calibration and direction-finding with virtual-ESPRIT algorithm 基于虚拟esprit算法的联合阵列标定与测向
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264578
M. Dogan, J. Mendel
{"title":"Joint array calibration and direction-finding with virtual-ESPRIT algorithm","authors":"M. Dogan, J. Mendel","doi":"10.1109/HOST.1993.264578","DOIUrl":"https://doi.org/10.1109/HOST.1993.264578","url":null,"abstract":"The amount of partial information necessary to jointly calibrate an arbitrary array and estimate the directions of far-field sources is investigated. The authors prove that the presence of a doublet and use of fourth-order cumulants is sufficient to accomplish this task. Their approach is based on the interpretation of cumulants for array processing. The cumulant-based algorithm is computationally efficient and more general than constrained covariance-based algorithms. Simulations indicate excellent results by the proposed algorithm.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"57 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":"127568442","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: 14
Cumulant-based parametric multichannel FIR system identification methods 基于累积量的参数多通道FIR系统辨识方法
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264567
S. Alshebeili, M.T. Ozgen, A. Cetin, A. Venetsanopoulos
{"title":"Cumulant-based parametric multichannel FIR system identification methods","authors":"S. Alshebeili, M.T. Ozgen, A. Cetin, A. Venetsanopoulos","doi":"10.1109/HOST.1993.264567","DOIUrl":"https://doi.org/10.1109/HOST.1993.264567","url":null,"abstract":"The least squares and recursive methods for simultaneous identification of four nonminimum phase linear, time-invariant FIR systems are presented. The methods utilize the second- and fourth-order cumulants of outputs of the four FIR systems whose common input is an independent, identically distributed (i.i.d.) non-Gaussian process. The new methods can be extended to the general problem of simultaneous identification of three or more FIR systems with some modifications. To illustrate the effectiveness of these methods, various simulation examples are included.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"26 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":"123431640","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
Acousto-optical third order correlator 声光三阶相关器
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264592
K. Kameyama, M. Iwata, T. Sakai, K. Jhang, T. Sato
{"title":"Acousto-optical third order correlator","authors":"K. Kameyama, M. Iwata, T. Sakai, K. Jhang, T. Sato","doi":"10.1109/HOST.1993.264592","DOIUrl":"https://doi.org/10.1109/HOST.1993.264592","url":null,"abstract":"An acousto-optical third order correlator consisting of a laser light source, a 2-D acousto-optical diffractor cell with signal controlling circuitry, a pin hole and a CCD connected to a computer for image processing is introduced. The correlator enables an instantaneous computation of a third order correlation map R/sub 3/( tau /sub 1/, tau /sub 2/) of an arbitrary signal by way of optical computing. Through experiments, it proved that the system was able to obtain the R/sub 3/ map in real-time with minimal image processing in the computer.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"42 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":"122443791","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
Deconvolution and vocal-tract parameter estimation of speech signals by higher-order statistics based inverse filters 基于高阶统计量的反滤波器对语音信号的反卷积和声道参数估计
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264598
Wu-Ton Chen, Chong-Yung Chi
{"title":"Deconvolution and vocal-tract parameter estimation of speech signals by higher-order statistics based inverse filters","authors":"Wu-Ton Chen, Chong-Yung Chi","doi":"10.1109/HOST.1993.264598","DOIUrl":"https://doi.org/10.1109/HOST.1993.264598","url":null,"abstract":"The authors propose a two-step method for deconvolution and vocal-tract parameter estimation of (non-Gaussian) voiced speech signals. In the first step, the driving input (a non-Gaussian pseudo-periodic positive pulse train) to the vocal-tract filter which can be nonminimum-phase is estimated from speech data by a higher-order statistics (HOS) based inverse filter. In the second step, autoregressive moving average (ARMA) parameters of the vocal-tract filter are estimated with the estimated input and speech data by a prediction error system identification method (an input-output system identification method). Finally, some experimental results with real speech data are provided.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"42 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":"121312681","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
Bispectral analysis of intracardiac electrograms 心内电的双谱分析
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264534
E. Lovett, K. Ropella
{"title":"Bispectral analysis of intracardiac electrograms","authors":"E. Lovett, K. Ropella","doi":"10.1109/HOST.1993.264534","DOIUrl":"https://doi.org/10.1109/HOST.1993.264534","url":null,"abstract":"Previous work has shown that the average magnitude-squared coherence (MSC) differentiates ventricular tachyarrythmias and discriminates between fibrillatory and nonfibrillatory rhythms. The MSC quantifies the extent to which linear dynamics explain time series covariability. The magnitude-squared bicoherence (MSBC) does the same for bilinear dynamics. Unlike the MSC, which must be computed from two time series, the MSBC can be calculated from a single time series. The average magnitude-squared autobicoherence is computed for a collection of intracardiac electrograms. Results indicate that it has capabilities similar to average MSC in differentiating ventricular tachyarrythmias and discriminating between fibriallatory and nonfibrillatory rhythms. The MSBC might be used in implantable devices for cardiac monitoring and intervention to provide cross-validitory and localized information on cardiac dynamics. Moreover, its quantification of nonlinear dynamics may improve understanding of the intricate electrical organization of the heart.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"258 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":"116400284","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
Eigenvector algorithm for blind equalization 盲均衡的特征向量算法
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264605
B. Jelonnek, K. Kammeyer
{"title":"Eigenvector algorithm for blind equalization","authors":"B. Jelonnek, K. Kammeyer","doi":"10.1109/HOST.1993.264605","DOIUrl":"https://doi.org/10.1109/HOST.1993.264605","url":null,"abstract":"The authors introduce a new algorithm for blind equalization which uses a set of cost functions. Each of them guarantees a closed form solution of the equalization problem and approximates the ideal MSE (mean square error) solution. On the basis of an iterative process the best approximation is selected. Application of this algorithm is not limited to linear equalizers operating at symbol rate. As a possible generalization to include other areas (such as system identification, decision-feedback equalization or fractionally spaced equalization), an extension to fractional tap space equalizers is outlined.<<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":"134479010","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: 14
Identification of acoustic objects in motion from the fourth-order cumulant spectrum 基于四阶累积谱的运动声目标识别
[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1993-06-07 DOI: 10.1109/HOST.1993.264557
R. Dwyer
{"title":"Identification of acoustic objects in motion from the fourth-order cumulant spectrum","authors":"R. Dwyer","doi":"10.1109/HOST.1993.264557","DOIUrl":"https://doi.org/10.1109/HOST.1993.264557","url":null,"abstract":"Develops an analytical method to extract information from received pressure signals using the fourth-order cumulant spectrum based on a far field solution of the wave equation for a monopole acoustic object in motion. The acoustic object is modeled as the transfer function between the transmitted linear frequency modulated waveform and the received pressure signal. The objective is to extract the transfer function of the acoustic object. But due to the motion of the acoustic object the extracted transfer function is modified by the Doppler component. For reference, three motionless spherical acoustic objects differing in material composition and elasticity are presented to demonstrate their unique transfer functions. Based on the results of the paper these transfer functions would be modified by the motion of the acoustic spherical objects.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"227 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":"132150790","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
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