C. Nockemann, G. Tillack, C. Bellon, K. Johannsen, S. Heine
{"title":"How to Treat the Reliability of Defect Detection and Assessment in Nondestructive Testing?","authors":"C. Nockemann, G. Tillack, C. Bellon, K. Johannsen, S. Heine","doi":"10.1109/SSAP.1994.572540","DOIUrl":"https://doi.org/10.1109/SSAP.1994.572540","url":null,"abstract":"","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124913559","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}
{"title":"Image Modeling And Restoration By Higher-order Statistics Based Inverse Filters","authors":"Chien-Chung Hsiao, Chong-Yung Chi","doi":"10.1109/SSAP.1994.572479","DOIUrl":"https://doi.org/10.1109/SSAP.1994.572479","url":null,"abstract":"This paper presents image modeling and restoration by higher-order statistics based 2-D inverse filters. A given original image +(m, n) is processed by an optimum inverse filter v(m, n) which is designed by maximizing cumulant based criteria J r ,m = ICmlr/ICrlm where r is even, m > T 2 2 and C,,, (Cr) denotes mthorder (rth-order cumulant of the output e(m,n) of be modeled as the output of a linear shift-invariant (LSI) system h(m, n) driven by e(m, n) where h(m, n) is a stable inverse filter of v(m,n) . When a blurred image y(m,n) = t(m,n) * g(m,n,) rather than the original image z(m, n) is given, t (m, n) can be restored by first estimating e (m,n) using the previous inverse filter criteria and then obtain t(m,n) = e(m, n) * h(m, n). Some experimental results are provided to support the proposed image modeling and restoration method. the 2-D inverse A Iter. The original image z (m, n) can","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126816942","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}
{"title":"Computational Reductions Exploiting Structure in Forward/backward Data","authors":"D. Linebarger, R.D. DeGroat, E. Dowling","doi":"10.1109/SSAP.1994.572526","DOIUrl":"https://doi.org/10.1109/SSAP.1994.572526","url":null,"abstract":"","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124702408","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}
{"title":"Estimation of Signal Parameters for Optimal Array Filters","authors":"P. Musumeci","doi":"10.1109/SSAP.1994.572504","DOIUrl":"https://doi.org/10.1109/SSAP.1994.572504","url":null,"abstract":"","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125364476","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}
{"title":"On Time Delay Estimation","authors":"H. Messer, P. M. Schultheiss","doi":"10.1109/SSAP.1994.572438","DOIUrl":"https://doi.org/10.1109/SSAP.1994.572438","url":null,"abstract":"An important signal parameter estimation problem is time-delay estimation. Here the unknown is the time origin of the signal: s (l, θ) = s (l − θ). The duration of the signal (the domain over which the signal is de ned) is assumed brief compared with the observation interval L. Although in continuous time the signal delay is a continuous-valued variable, in discrete time it is not. Consequently, the maximum likelihood estimate cannot be found by di erentiation, and we must determine the maximum likelihood estimate of signal delay by the most fundamental expression of the maximization procedure. Assuming Gaussian noise, the maximum likelihood estimate of delay is the solution of","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125507657","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}
{"title":"Estimation of Multichannel Mixed Spectra","authors":"V. Nagesha, S. Kay","doi":"10.1109/SSAP.1994.572425","DOIUrl":"https://doi.org/10.1109/SSAP.1994.572425","url":null,"abstract":"Statistical inference for vector time series having a mixed spectral representation is considered. The approach is to use a finite-parameter model and compute the maximum likelihood estimates of the underlying descriptors. Statistically/computationally efficient implementations are studied.","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132262765","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}
{"title":"Set Theoretic Signal Processing","authors":"P. L. Combettes","doi":"10.1109/SSAP.1994.572418","DOIUrl":"https://doi.org/10.1109/SSAP.1994.572418","url":null,"abstract":"","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132776186","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}
{"title":"Maximum Likelihood Estimation of Multiple Damped Sinusoids by Using Newton's Iterations and Improved Initialization","authors":"Jeng-Kuang Hwang, Jiunn-Horng Denq","doi":"10.1109/SSAP.1994.572423","DOIUrl":"https://doi.org/10.1109/SSAP.1994.572423","url":null,"abstract":"The maximum likelihood parameter estimation of multiple damped sinusoids in noise is considered in this paper. Since the damped signal decays exponentially with time and each signal has two parameters to estimate, the ML criterion is very Mcu l t to optimize. In computing the MLE, it is noted that the convergence performance of the iterative algorithm is highly sensitive to the initial point. Thus we resort to a Newton-type ML algorithm equipped with an improved initialization scheme, which comkts of a robust state-space method followed by a reibing alternating \" b a t i o n (AM) procedure. Performance simutation shows that the overall ML algorithm can achieve the CR bound with a lower threshold SNR than other existing methods. lies on how to optimize the highly nonlinear and multidimensional ML Criterion [3-51. As is well known, a key to the global convergence of the ML algorithm is the determination of the initial point. In this paper, we present a two-step initialization scheme for finding a more stable initial point. The first step is a polynomialbased state space method that can resuit in stable estimates of the damping fixtors, and the second step is a rething alternating \" b a t i o n (AM) methd used to find more accurate frequency estimates [4]. Once the initialization is completed, Newton-type iterations similar to that in [5] are perfiormed in the main loop to optimize the ML criterion. In the following sections, we will present the problem formulation and the overall ML algorithm. Then its superior performance, as compared to other methods, is confirmed by computer simulations.","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127167010","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}
{"title":"Identifiability in Array Processing Models with Vector-Sensor Applications","authors":"B. Hochwald, A. Nehorai","doi":"10.1109/SSAP.1994.572457","DOIUrl":"https://doi.org/10.1109/SSAP.1994.572457","url":null,"abstract":"We present a bound on the number of sources identifiable in a class of array processing models with multiple parameters and signals per source. The bound is applied to determine the maximum number of uniquely resolvable plane-wave sources in various acoustic and electromagnetic vector-sensor models. We examine the use of a priori information about the sources, the effects of known and unknown noise characteristics, and the presence of nuisance parameters. Connections between identifiability and existence of the Cramer-Rao bound (CRB) are investigated. We show quantitatively how assumptions about the parameters can fundamentally affect the maximum number of identifiable sources.","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124450168","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}
{"title":"Spectral Design of Randomized Pulse Width Modulation in DC to AC Converters","authors":"R. Kirlin, A. Trzynadlowski","doi":"10.1109/SSAP.1994.572524","DOIUrl":"https://doi.org/10.1109/SSAP.1994.572524","url":null,"abstract":"This paper presents several new results and ideas. First the harmonic spectrum and power spectral density (noise density) of random width modulation for minimum loss vector PWM is analyzed and plots for one case of modulation and randomization parameters are given. As a result of the analysis of this modulation scheme, a novel time-domain formulation (autocorrelation) of the spectral information is presented. In this form we find all of the necessary details for understanding the mechanisms of general randomization schemes for suppressing harmonics and converting harmonic power to the noise spectral density. The insights found in the autocorrelation expressions allow at least one optimum design of the randomization parameters of any PWM method. The proposed optimization is but one of many indicated and implied by our methods. Introduction Research on random pulse width modulation (RPWM) techniques for static power converters, mainly three -phase inverters, has recently gained momentum. Initiated by our paper [l] in 1987, in 1992 alone the studies on various WWM issues were reported in over a dozen publications [2]. The RPWM techniques have been found to significantly improve the noise and vibration characteristics of converter-fed motors in adjustable speed drive systems [3,4]. Figure 1 shows both deterministic and random switching rate or random width P W M signals for producing ac from a dc source. The deterministic pattern is often calculated to maximize fundamental power while sometimes nulling or minimizing some selected harmonics. However all deterministic modulations have exactly the same switching patterns in all periods of the fundamental. This naturally leads to harmonics. The basic principle of RPWM consists in introduction of a random factor to the switching patterns of the controlled converter. With regard to three-phase inverters, each cycle of the output voltage is generated by a different randomized combination of pulses of the a(t) deterministic PWM T I","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123269588","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}