Pub Date : 1995-06-09DOI: 10.1109/CBMS.1995.465452
H. Longbotham, H. Kothari, P. Yan
Presents a simple, fast method for stereo matching of edges on several layers (depths). This method is applied to medical images and to the reverse engineering of printed circuit boards. Differences in images of real-world scenes may be induced by the relative displacement of two cameras. These differences are important because they contain encoded information that can allow a partial reconstruction of the 3D structure of the scene from 2D projections. When such differences occur between two images, the two images are said to have some disparity between them. The determination of disparity is called the correspondence problem. The interpretation of disparity into meaningful statements about the scene, such as specifications of depth, velocity, shape, and so forth, is a field of ongoing research. The primary goal of this paper is to address the correspondence problem using multiple views of a scene with objects at different (discrete) depths using a transparent medium (X-ray imaging). The secondary goal of this paper is to provide a new method of feature (edge) extraction. These features are used for stereo matching. This paper demonstrates the ability to match straight edges and provides an extension to curved edges.<>
{"title":"X-ray stereo imaging technique for disparity analysis","authors":"H. Longbotham, H. Kothari, P. Yan","doi":"10.1109/CBMS.1995.465452","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465452","url":null,"abstract":"Presents a simple, fast method for stereo matching of edges on several layers (depths). This method is applied to medical images and to the reverse engineering of printed circuit boards. Differences in images of real-world scenes may be induced by the relative displacement of two cameras. These differences are important because they contain encoded information that can allow a partial reconstruction of the 3D structure of the scene from 2D projections. When such differences occur between two images, the two images are said to have some disparity between them. The determination of disparity is called the correspondence problem. The interpretation of disparity into meaningful statements about the scene, such as specifications of depth, velocity, shape, and so forth, is a field of ongoing research. The primary goal of this paper is to address the correspondence problem using multiple views of a scene with objects at different (discrete) depths using a transparent medium (X-ray imaging). The secondary goal of this paper is to provide a new method of feature (edge) extraction. These features are used for stereo matching. This paper demonstrates the ability to match straight edges and provides an extension to curved edges.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127208441","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}
Pub Date : 1995-06-09DOI: 10.1109/CBMS.1995.465413
Johnie Sublett, B. J. Dempsey, A. Weaver
Presents the design and implementation of a digital image capture and distribution system that supports remote ultrasound examinations and, in particular, real-time diagnosis for these examinations. The system was designed in conjunction with radiologists and staff in the Department of Radiology at the University of Virginia Hospital. Based on readily available microcomputer components, our teleultrasound system handles the acquisition, digitizing, and reliable transmission of still and moving images generated by an ultrasound machine. The digital images have a resolution of 640/spl times/480 with an 8-bit color plane, con be captured at rates up to 30 frames/sec, and are compressed and decompressed in real-time using specialized hardware. While scalable to communications networks of any transmission speed, initial deployment is envisioned for 1.5 Mbit/s T-1 leased lines. To achieve real-time still image distribution and to reduce the bandwidth necessary for motion video, the teleultrasound design employs lossy image compression based on the JPEG standard. The effects of JPEG compression on diagnostic quality are being studied in a separate signal detection study with the Department of Radiology at the University of Virginia.<>
{"title":"Design and implementation of a digital teleultrasound system for real-time remote diagnosis","authors":"Johnie Sublett, B. J. Dempsey, A. Weaver","doi":"10.1109/CBMS.1995.465413","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465413","url":null,"abstract":"Presents the design and implementation of a digital image capture and distribution system that supports remote ultrasound examinations and, in particular, real-time diagnosis for these examinations. The system was designed in conjunction with radiologists and staff in the Department of Radiology at the University of Virginia Hospital. Based on readily available microcomputer components, our teleultrasound system handles the acquisition, digitizing, and reliable transmission of still and moving images generated by an ultrasound machine. The digital images have a resolution of 640/spl times/480 with an 8-bit color plane, con be captured at rates up to 30 frames/sec, and are compressed and decompressed in real-time using specialized hardware. While scalable to communications networks of any transmission speed, initial deployment is envisioned for 1.5 Mbit/s T-1 leased lines. To achieve real-time still image distribution and to reduce the bandwidth necessary for motion video, the teleultrasound design employs lossy image compression based on the JPEG standard. The effects of JPEG compression on diagnostic quality are being studied in a separate signal detection study with the Department of Radiology at the University of Virginia.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127533417","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}
Pub Date : 1995-06-09DOI: 10.1109/CBMS.1995.465420
W. Kraske, F. W. George
Northrop Grumman Corp. (NGC), in collaboration with Cray Research and the University of Southern California (USC), has developed a distributed biomedical 3D visualization system. Currently, this system provides an extended AVS visualization capability to a cluster of SUN SPARC-20 workstations located at three locations across the USC Health Sciences Campus. A supercomputer complex of a HiPPI-connected Cray YMP vector architecture and a Cray T3D massively parallel processing (MPP) architecture provides a 40 GFLOPS processing capability to a remote cluster of three workstations via an ATM-switched SONET STS-3 link. The workstations run the AVS kernel locally while using remote procedure calls to run AVS modules on the Cray YMP. NGC modifies AVS modules, then spawns processes distributively across entire partitions of the Cray T3D using an NGC-Cray virtual shared memory protocol and underlying Cray T3D memory management hardware. Communication between the workstation cluster and the supercomputers is then provided with TCP/IP sockets over the SONET STS-3 link. This configuration provides an interactive real-time visualization capability to a remote AVS workstation environment operating on a physician's desktop. To provide a cohesive integration of this system, an object-relational database management system (O-RDBMS) is applied to provide representation of 3D spatial objects and relations of these objects to other applications. Management of network and mosaic resources, enabling access to the medical community, is under development with new extensions of the existing O-RDBMS.<>
{"title":"VOXAR-all ATM distributed biomedical visualization: 1) local OC-3 linked workstation cluster, 2) remote OC-3 linked 40 GFLOPS Cray T3D MPP","authors":"W. Kraske, F. W. George","doi":"10.1109/CBMS.1995.465420","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465420","url":null,"abstract":"Northrop Grumman Corp. (NGC), in collaboration with Cray Research and the University of Southern California (USC), has developed a distributed biomedical 3D visualization system. Currently, this system provides an extended AVS visualization capability to a cluster of SUN SPARC-20 workstations located at three locations across the USC Health Sciences Campus. A supercomputer complex of a HiPPI-connected Cray YMP vector architecture and a Cray T3D massively parallel processing (MPP) architecture provides a 40 GFLOPS processing capability to a remote cluster of three workstations via an ATM-switched SONET STS-3 link. The workstations run the AVS kernel locally while using remote procedure calls to run AVS modules on the Cray YMP. NGC modifies AVS modules, then spawns processes distributively across entire partitions of the Cray T3D using an NGC-Cray virtual shared memory protocol and underlying Cray T3D memory management hardware. Communication between the workstation cluster and the supercomputers is then provided with TCP/IP sockets over the SONET STS-3 link. This configuration provides an interactive real-time visualization capability to a remote AVS workstation environment operating on a physician's desktop. To provide a cohesive integration of this system, an object-relational database management system (O-RDBMS) is applied to provide representation of 3D spatial objects and relations of these objects to other applications. Management of network and mosaic resources, enabling access to the medical community, is under development with new extensions of the existing O-RDBMS.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121453908","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}
Pub Date : 1995-06-09DOI: 10.1109/CBMS.1995.465450
Jen Chen, Kuo-Lane Chen
Establishes a new method to determine the safety of a hospital building. A good hospital building should be capable of resisting various loadings such as dead load, live load, wind load, earthquake load, flooding load, thermal load and others. A safety building can be designed using a basic structural analysis. Most loadings vary with time. It is evident that a building needs a simultaneous dynamic analysis. These lateral loadings are random phenomena. Probability theory can be used to analyze these loadings. By using the method of load and resistance factor design (LRFD), we derive a reliability index, which is quite useful in structural design and can be used to indicate the consistency of safety for a hospital.<>
{"title":"The use of reliability index /spl beta//sub s/ in a hospital safety system","authors":"Jen Chen, Kuo-Lane Chen","doi":"10.1109/CBMS.1995.465450","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465450","url":null,"abstract":"Establishes a new method to determine the safety of a hospital building. A good hospital building should be capable of resisting various loadings such as dead load, live load, wind load, earthquake load, flooding load, thermal load and others. A safety building can be designed using a basic structural analysis. Most loadings vary with time. It is evident that a building needs a simultaneous dynamic analysis. These lateral loadings are random phenomena. Probability theory can be used to analyze these loadings. By using the method of load and resistance factor design (LRFD), we derive a reliability index, which is quite useful in structural design and can be used to indicate the consistency of safety for a hospital.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130460869","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}
Pub Date : 1995-06-09DOI: 10.1109/CBMS.1995.465426
A. Petrosian
The problem of an adequate quantitative interpretation of epileptic EEG recordings is of great importance in the understanding, recognition and treatment of epilepsy. In recent years, much effort has been made to develop computerized methods which can characterize different interictal, ictal and postictal stages. The main issue of whether there exist a preictal phenomenon is unresolved. In this paper, we address this issue making use of the most basic representation of data complexity, namely the algorithmic information content. In general this measure, also known as Kolmogorov complexity, represents the compressibility of the data strings. It can also be used to describe properties (linear and nonlinear) of the underlying dynamical system. We analyze Kolmogorov complexity and related characteristics of intracranial EEG recordings containing preictal, ictal and postictal segments.<>
{"title":"Kolmogorov complexity of finite sequences and recognition of different preictal EEG patterns","authors":"A. Petrosian","doi":"10.1109/CBMS.1995.465426","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465426","url":null,"abstract":"The problem of an adequate quantitative interpretation of epileptic EEG recordings is of great importance in the understanding, recognition and treatment of epilepsy. In recent years, much effort has been made to develop computerized methods which can characterize different interictal, ictal and postictal stages. The main issue of whether there exist a preictal phenomenon is unresolved. In this paper, we address this issue making use of the most basic representation of data complexity, namely the algorithmic information content. In general this measure, also known as Kolmogorov complexity, represents the compressibility of the data strings. It can also be used to describe properties (linear and nonlinear) of the underlying dynamical system. We analyze Kolmogorov complexity and related characteristics of intracranial EEG recordings containing preictal, ictal and postictal segments.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134430720","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}
Pub Date : 1995-06-09DOI: 10.1109/CBMS.1995.465433
Kwak Yoonsik, Choi Kihyung
The thinning algorithm is a preprocessing technique that is an important part of image processing techniques. As the scope of its applied and related fields, such as character recognition systems, has been wider, so has its research been active. A Korean character consists of an initial phoneme, a medial vowel and a final phoneme. It has the aspect that, according to its placement, its size and shape can be changed. Because of this, and more specifically since all three elements should be combined or connected in some way to produce a character, there occurs a problem of the distorted shape in the curved and the connected areas. This problem is mainly due to the irregular thickness of an object pixel, and seriously affects the Korean character recognition system, which uses the curved and the connected shape information for its recognition variable. This article is on a knowledge-based thinning algorithm which deals with printed Korean character images. It is intended to reduce the distortion rate of a Korean character image to its minimum level. Furthermore, I believe that this algorithm not only helps to enhance the effectiveness of the character recognition system, but it can also be applied as a medical image preprocessing technique, e.g. in the computerization of the medical administration, which is being vigorously studied.<>
{"title":"A study on the knowledge-based thinning algorithm that preserve the shape of the Korean character image","authors":"Kwak Yoonsik, Choi Kihyung","doi":"10.1109/CBMS.1995.465433","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465433","url":null,"abstract":"The thinning algorithm is a preprocessing technique that is an important part of image processing techniques. As the scope of its applied and related fields, such as character recognition systems, has been wider, so has its research been active. A Korean character consists of an initial phoneme, a medial vowel and a final phoneme. It has the aspect that, according to its placement, its size and shape can be changed. Because of this, and more specifically since all three elements should be combined or connected in some way to produce a character, there occurs a problem of the distorted shape in the curved and the connected areas. This problem is mainly due to the irregular thickness of an object pixel, and seriously affects the Korean character recognition system, which uses the curved and the connected shape information for its recognition variable. This article is on a knowledge-based thinning algorithm which deals with printed Korean character images. It is intended to reduce the distortion rate of a Korean character image to its minimum level. Furthermore, I believe that this algorithm not only helps to enhance the effectiveness of the character recognition system, but it can also be applied as a medical image preprocessing technique, e.g. in the computerization of the medical administration, which is being vigorously studied.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115612465","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}
Pub Date : 1995-06-09DOI: 10.1109/CBMS.1995.465435
Tom Green, M. Parten
Biomedical signals are frequently complex waveforms that occur in a very noisy environment. Although the information content and the best way to present this information is under constant study in the medical and research community, advanced signal processing techniques have proven to be invaluable to the analysis of biomedical signals. With the increased capability of personal computers (PCs), the acquisition and analysis of biomedical signals is becoming practical at the individual physician level. The paper describes an inexpensive PC based system for both data acquisition and analysis. The objective is to provide advanced signal processing tools in an easy to use, inexpensive format.<>
{"title":"PC-based medical data acquisition and analysis","authors":"Tom Green, M. Parten","doi":"10.1109/CBMS.1995.465435","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465435","url":null,"abstract":"Biomedical signals are frequently complex waveforms that occur in a very noisy environment. Although the information content and the best way to present this information is under constant study in the medical and research community, advanced signal processing techniques have proven to be invaluable to the analysis of biomedical signals. With the increased capability of personal computers (PCs), the acquisition and analysis of biomedical signals is becoming practical at the individual physician level. The paper describes an inexpensive PC based system for both data acquisition and analysis. The objective is to provide advanced signal processing tools in an easy to use, inexpensive format.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124329652","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}
Pub Date : 1995-06-09DOI: 10.1109/CBMS.1995.465449
D. Lyche, J. Weiser, J. Romlein, F. Goeringer, S. Scotti
The US military, through the Medical Diagnostic Imaging Support (MDIS) system, is installing picture archival communications systems (PACS) and teleradiology at multiple medical treatment facilities throughout the USA and abroad. The goals are to improve patient care, maximize limited resources, and realize cost savings. This paper reviews early experience with clinical use of the MDIS PACS and teleradiology configurations. Emphasis is on lessons learned in the areas of image quality, speed of image transmission, communication between sites, and the advantages of the MDIS two-way teleradiology configuration. The data is accumulated from the combined experience of the authors at multiple sites within the continental US and Korea.<>
{"title":"PACS and teleradiology in the Department of Defense","authors":"D. Lyche, J. Weiser, J. Romlein, F. Goeringer, S. Scotti","doi":"10.1109/CBMS.1995.465449","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465449","url":null,"abstract":"The US military, through the Medical Diagnostic Imaging Support (MDIS) system, is installing picture archival communications systems (PACS) and teleradiology at multiple medical treatment facilities throughout the USA and abroad. The goals are to improve patient care, maximize limited resources, and realize cost savings. This paper reviews early experience with clinical use of the MDIS PACS and teleradiology configurations. Emphasis is on lessons learned in the areas of image quality, speed of image transmission, communication between sites, and the advantages of the MDIS two-way teleradiology configuration. The data is accumulated from the combined experience of the authors at multiple sites within the continental US and Korea.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124636231","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}
Pub Date : 1995-06-09DOI: 10.1109/CBMS.1995.465437
S. Matis, H. Doyle, I. Marino, R. Mural, E. Uberbacher
Liver transplantation is a well-established therapeutic option for patients with end-stage liver disease. However, up to 20% of transplanted livers fail to have adequate function initially, and at least half of those will eventually fail. Accurate, early prediction of outcome may ameliorate this situation by encouraging retransplantation before the patient's condition becomes irreversible. In this study, clinical information was gathered prospectively for 295 patients who underwent liver transplantation at the University of Pittsburgh Medical Center, and was divided into sets. The feedforward, fully connected neural networks had 7 or 8 inputs, a single hidden layer consisting of 3 nodes and a single output node (failure=1, success=0). The networks were trained with data from a randomly selected subset of 240 patients while the remaining 55 patients made up the test set. The network was trained using a standard backpropagation algorithm. Training was assessed by testing the ability of the network to correctly predict the outcome of the 55 patients in the test set. The accuracy of prediction by the neural network improved each day and so by day 5, 98% of the graft survivors in the test set were correctly predicted while 88% of graft failures in the test set were correctly predicted.<>
{"title":"Use of neural networks for prediction of graft failure following liver transplantation","authors":"S. Matis, H. Doyle, I. Marino, R. Mural, E. Uberbacher","doi":"10.1109/CBMS.1995.465437","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465437","url":null,"abstract":"Liver transplantation is a well-established therapeutic option for patients with end-stage liver disease. However, up to 20% of transplanted livers fail to have adequate function initially, and at least half of those will eventually fail. Accurate, early prediction of outcome may ameliorate this situation by encouraging retransplantation before the patient's condition becomes irreversible. In this study, clinical information was gathered prospectively for 295 patients who underwent liver transplantation at the University of Pittsburgh Medical Center, and was divided into sets. The feedforward, fully connected neural networks had 7 or 8 inputs, a single hidden layer consisting of 3 nodes and a single output node (failure=1, success=0). The networks were trained with data from a randomly selected subset of 240 patients while the remaining 55 patients made up the test set. The network was trained using a standard backpropagation algorithm. Training was assessed by testing the ability of the network to correctly predict the outcome of the 55 patients in the test set. The accuracy of prediction by the neural network improved each day and so by day 5, 98% of the graft survivors in the test set were correctly predicted while 88% of graft failures in the test set were correctly predicted.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125400592","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}
Pub Date : 1995-06-09DOI: 10.1109/CBMS.1995.465408
Ashot Matevosyan
Investigates the problem of the optimal orthogonal signal expansion for providing both the best signal approximation and non-correlated coefficients of expansion. Without the latter condition, the well-known solution of the best signal representation is given by the classical Fourier basis. This additional condition, however, provides Karhunen-Loeve expansion-like properties which are very useful in applied signal processing. Therefore, it is of major practical importance to describe Karhunen-Loeve-like signal expansion bases. We present an iterative algorithm converging to the solution of this this problem. It is also proven that this solution is unique.<>
{"title":"Karhunen-Loeve-like expansions","authors":"Ashot Matevosyan","doi":"10.1109/CBMS.1995.465408","DOIUrl":"https://doi.org/10.1109/CBMS.1995.465408","url":null,"abstract":"Investigates the problem of the optimal orthogonal signal expansion for providing both the best signal approximation and non-correlated coefficients of expansion. Without the latter condition, the well-known solution of the best signal representation is given by the classical Fourier basis. This additional condition, however, provides Karhunen-Loeve expansion-like properties which are very useful in applied signal processing. Therefore, it is of major practical importance to describe Karhunen-Loeve-like signal expansion bases. We present an iterative algorithm converging to the solution of this this problem. It is also proven that this solution is unique.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126038735","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}
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