{"title":"A method for simulation of coherent Weibull clutter","authors":"Li Gang, K.-B. Yu","doi":"10.1109/SSST.1988.17137","DOIUrl":"https://doi.org/10.1109/SSST.1988.17137","url":null,"abstract":"The problem of modeling and simulation of a coherent Weibull process with specified covariance structure of the in-phase and quadrature components is discussed. The nonlinear mapping relation between the complex Weibull covariance sequence and Gaussian covariance sequence is derived. Based on this mapping, a simulation scheme for specified Weibull envelope distribution and complex covariance sequence is developed. The proposed method has been tested with many different examples, and the results indicate that the scheme works very well. The constraints on the covariance sequence of a narrowband process and the compatibility problem are discussed.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131387029","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":"Speech pattern generation and recognition using a personal computer","authors":"K. Gopalan, B. burridge","doi":"10.1109/SSST.1988.17058","DOIUrl":"https://doi.org/10.1109/SSST.1988.17058","url":null,"abstract":"A personal-computer-based system to generate and recognize speech patterns of discrete utterances from a limited vocabulary is described. The system implements a time-domain approach based on successive amplitude samples to develop a nonparametric characterization of utterances. Unknown words are recognized using a multiprototype minimum-distance classifier. The method is computationally simple and fast, and yields better word-recognition results than previously reported.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133881484","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":"A network analysis program 'NETNAP'","authors":"S. Natarajan","doi":"10.1109/SSST.1988.17075","DOIUrl":"https://doi.org/10.1109/SSST.1988.17075","url":null,"abstract":"A description is given of the program NETNAP, which can be used to simulate analog electrical and electronic circuits in micro- and minicomputers. It is intended for instructional purposes and it has been designed for use in the classroom environment by both faculty and students. NETNAP, unlike many classroom versions of SPICE-like simulators, is not device-oriented.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134341649","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":"An algebraic method for the construction of families of sequences with good Hamming cross-correlation properties","authors":"J.H. Mott","doi":"10.1109/SSST.1988.17068","DOIUrl":"https://doi.org/10.1109/SSST.1988.17068","url":null,"abstract":"A method of constructing families of sequences having reduced cross-correlation peaks is developed and demonstrated. This method, which is algebraic in nature, is easily applied to practical coding problems, such as that of finding spread-spectrum frequency-hopping patterns with reduced cross-correlation noise. The method is somewhat more flexible than the more standard group-theoretic approaches since it does not impose restrictions on sequence length, which those do.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"672 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131886552","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":"Pitch extraction algorithm for voice recognition applications","authors":"R. Sankar","doi":"10.1109/SSST.1988.17080","DOIUrl":"https://doi.org/10.1109/SSST.1988.17080","url":null,"abstract":"Two computationally simple pitch-extraction algorithms based on the autocorrelation method of pitch determination are presented. Both algorithms have been implemented in software, and their performance has been evaluated. The first pitch-extraction algorithm (PEA Hash 1) uses center clipping and infinite peak dipping for time-domain preprocessing before computing autocorrelation while the second algorithm (PEA Hash 2) nonlinearly distorts the speech signal before center clipping and autocorrelation computation. PEA Hash 2 provides a better pitch detection estimate than PEA Hash 1 and also eliminates the need to adjust critically the clipping level threshold. The initial results obtained by comparing the average gross pitch error rate suggest that PEA Hash 2 is better (by a factor of two or more) than PEA Hash 1.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125242610","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":"Integrating artificial intelligence into the undergraduate engineering curriculum","authors":"R. Schalkoff","doi":"10.1109/SSST.1988.17021","DOIUrl":"https://doi.org/10.1109/SSST.1988.17021","url":null,"abstract":"The author relates experience at Clemson University in offering a specially structured one-semester undergraduate course on applied artificial intelligence. In addition, a longer term and more integrated involvement of AI technology in the undergraduate engineering curriculum is suggested. A number of unresolved issues regarding this integration are posed and discussed.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127176082","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":"Identification of optimal location for power system stabilizers","authors":"Y. Zhuang, A. Feliachi","doi":"10.1109/SSST.1988.17051","DOIUrl":"https://doi.org/10.1109/SSST.1988.17051","url":null,"abstract":"A novel approach is presented to identify the optimal location for power-system stabilizers (PSS). The approach is based on the sensitivity of the eigenvalues, specifically the modes to be shifted, with respect to the control gains. This allows for the identification of the generators which mostly affect the poorly damped modes. A second algorithm is developed to determine the control gain matrix.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121201304","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":"The effect of missing data on the steady-state performance of an alpha , beta tracking filter","authors":"R. Kassel, E. Baxa","doi":"10.1109/SSST.1988.17106","DOIUrl":"https://doi.org/10.1109/SSST.1988.17106","url":null,"abstract":"The Kalman filter provides a recursive least-mean-square estimate of parameters in a dynamic system. Because the initial variances of the measurements used in the estimation are uncertain in a practical situation, a tracking filter can be optimum only in steady-state. The steady-state error of a version of the Kalman filter, called the alpha , beta filter, is analyzed under the assumption that missing data may occur. The results are developed for a constant-scan-rate radar. The number of intervals between valid data is modeled as a geometric random variable with the probability of valid data as a parameter. It is shown that missing data can introduce large additional tracking error for slowly scanning radars.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126735645","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":"Improving the classification accuracy of the method of the moments using aspect ratio normalization","authors":"A. Rostampour","doi":"10.1109/SSST.1988.17072","DOIUrl":"https://doi.org/10.1109/SSST.1988.17072","url":null,"abstract":"The method of moments has been used in several forms for shape recognition. Due to the dynamic range of the moments, high-order moment elements do not contribute significantly in the classification process and in some cases they reduce the classification accuracy. A normalization procedure, called aspect ratio normalization, which improves the classification accuracy, is discussed. The procedure is applied to a set of data to demonstrate its performance.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115514560","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":"Application of DFT and FFT algorithms to spectral analysis of power system load variation","authors":"L. Lee, A. Girgis","doi":"10.1109/SSST.1988.17009","DOIUrl":"https://doi.org/10.1109/SSST.1988.17009","url":null,"abstract":"The discrete Fourier transform (DFT) and the fast Fourier transform (FFT) are based on certain assumptions that must be understood and satisfied, or misleading results will be obtained. The authors examine these assumptions and qualitatively analyze the effect of these dangers when the FFT algorithm is supplied to power system load variation. They recommend the use of a DFT algorithm to evaluate the frequency spectrum of power system load variation.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114738377","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}