Pattern Recognition and Signal Processing
Title | Pattern Recognition and Signal Processing PDF eBook |
Author | C.H. Chen |
Publisher | Springer |
Pages | 676 |
Release | 1978-12-31 |
Genre | Psychology |
ISBN |
Both pattern recognition and signal processing are rapidly growing areas. Organized with emphasis on many inter-relations between the two areas, a NATO Advanced Study Institute on Pattern Recognition and Signal Processing was held June 25th - July 4, 1978 at the E.N.S.T. (Department of Electronics) in Paris, France. This volume is the Proceedings of the Institute. It contains what I believed to be a truly outstanding collection of papers which cover all major activities in both pattern recognition and signal processing. The papers are grouped by topics as follows: I. Syntactic Methods: paper numbers 1, 2. II. Statistical Methods: paper numbers 3, 4, 5, 6. III. Detection and Estimation: paper numbers 7, 8. IV. Image Processing, Modelling, and Analysis: paper numbers 9, 10, 11, 12. V. Speech Application: paper numbers 13, 14. VI. Radar Application: paper number 15. Seismic Application: paper number 16. VII. Biomedical Application: paper numbers 17, 18, 19. VIII. IX. Reconstruction From Projections: paper numbers 20, 21- X. Signal Modelling and Application: paper numbers 22, 23, 24. XI. NATO Pattern Recognition Research Study Group Report: paper number 25. It is my strong belief that there is a need for continuing interaction between pattern recognition and signal processing. The book will serve as a useful text and reference for such a need, and for both areas. Finally on behalf of all participants of the Institute, I would like to thank Drs. T. Kester and M. N. Czdas of NATO for their support.
Pattern Recognition and Signal Analysis in Medical Imaging
Title | Pattern Recognition and Signal Analysis in Medical Imaging PDF eBook |
Author | Anke Meyer-Baese |
Publisher | Elsevier |
Pages | 467 |
Release | 2014-03-21 |
Genre | Technology & Engineering |
ISBN | 0124166156 |
Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging. New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications
Pattern Recognition and Signal Processing
Title | Pattern Recognition and Signal Processing PDF eBook |
Author | C.H. Chen |
Publisher | Springer |
Pages | 676 |
Release | 1978-12-31 |
Genre | Psychology |
ISBN |
Both pattern recognition and signal processing are rapidly growing areas. Organized with emphasis on many inter-relations between the two areas, a NATO Advanced Study Institute on Pattern Recognition and Signal Processing was held June 25th - July 4, 1978 at the E.N.S.T. (Department of Electronics) in Paris, France. This volume is the Proceedings of the Institute. It contains what I believed to be a truly outstanding collection of papers which cover all major activities in both pattern recognition and signal processing. The papers are grouped by topics as follows: I. Syntactic Methods: paper numbers 1, 2. II. Statistical Methods: paper numbers 3, 4, 5, 6. III. Detection and Estimation: paper numbers 7, 8. IV. Image Processing, Modelling, and Analysis: paper numbers 9, 10, 11, 12. V. Speech Application: paper numbers 13, 14. VI. Radar Application: paper number 15. Seismic Application: paper number 16. VII. Biomedical Application: paper numbers 17, 18, 19. VIII. IX. Reconstruction From Projections: paper numbers 20, 21- X. Signal Modelling and Application: paper numbers 22, 23, 24. XI. NATO Pattern Recognition Research Study Group Report: paper number 25. It is my strong belief that there is a need for continuing interaction between pattern recognition and signal processing. The book will serve as a useful text and reference for such a need, and for both areas. Finally on behalf of all participants of the Institute, I would like to thank Drs. T. Kester and M. N. Czdas of NATO for their support.
Signal Processing, Image Processing, and Pattern Recognition
Title | Signal Processing, Image Processing, and Pattern Recognition PDF eBook |
Author | Stephen P. Banks |
Publisher | |
Pages | 432 |
Release | 1990 |
Genre | Computers |
ISBN |
Pattern Recognition in Speech and Language Processing
Title | Pattern Recognition in Speech and Language Processing PDF eBook |
Author | Wu Chou |
Publisher | CRC Press |
Pages | 413 |
Release | 2003-02-26 |
Genre | Technology & Engineering |
ISBN | 0203010523 |
Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field. Pattern Reco
Signal Processing and Pattern Recognition in Nondestructive Evaluation of Materials
Title | Signal Processing and Pattern Recognition in Nondestructive Evaluation of Materials PDF eBook |
Author | C.H. Chen |
Publisher | Springer Science & Business Media |
Pages | 344 |
Release | 2012-12-06 |
Genre | Computers |
ISBN | 3642834221 |
The NATO Advanced Research Workshop on Signal Processing and Pattern Recognition in Nondestructive Evaluation (NOE) of Materials was held August 19-22, 1987 at the Manoir St-Castin, Lac Beauport, Quebec, Canada. Modern signal processing, pattern recognition and artificial intelligence have been playing an increasingly important role in improving nondestructive evaluation and testing techniques. The cross fertilization of the two major areas can lead to major advances in NOE as well as presenting a new research area in signal processing. With this in mind, the Workshop provided a good review of progress and comparison of potential techniques, as well as constructive discussions and suggestions for effective use of modern signal processing to improve flaw detection, classification and prediction, as well as material characterization. This Proceedings volume includes most presentations given at the Workshop. This publication, like the meeting itself, is unique in the sense that it provides extensive interactions among the interrelated areas of NOE. The book starts with research advances on inverse problems and then covers different aspects of digital waveform processing in NOE and eddy current signal analysis. These are followed by four papers of pattern recognition and AI in NOE, and five papers of image processing and reconstruction in NOE. The last two papers deal with parameter estimation problems. Though the list of papers is not extensive, as the field of NOE signal processing is very new, the book has an excellent collection of both tutorial and research papers in this exciting new field.
Pattern Recognition and Image Preprocessing
Title | Pattern Recognition and Image Preprocessing PDF eBook |
Author | Sing T. Bow |
Publisher | CRC Press |
Pages | 736 |
Release | 2002-01-11 |
Genre | Technology & Engineering |
ISBN | 9780203903896 |
Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on dimensionality reduction and feature selection; novel computer system architectures; proven algorithms for solutions to common roadblocks in data processing; computing models including the Hamming net, the Kohonen self-organizing map, and the Hopfield net; detailed appendices with data sets illustrating key concepts in the text; and more.