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Parallel And Distributed Signal And Image Integration Problems - Proceedings Of The Indo-us Workshop

Buch | Hardcover
480 Seiten
1995
World Scientific Publishing Co Pte Ltd (Verlag)
978-981-02-2148-5 (ISBN)
186,95 inkl. MwSt
This text addresses various aspects in the area of signal and image integration with an emphasis on parallel and distributed systems. A wide spectrum of issues including sensor integration/fusion and neural networks/fuzzy systems is covered.
The next generation of engineering and computing systems will be both complex and distributed in functionality due to a variety of information sources needed for their operation. Successful development and deployment of these systems critically depends on the mechanisms for acquisition, coordination, communication and integration of information from various components. This collection of papers addresses various aspects in the area of signal and image integration with a specific emphasis on parallel and distributed solutions. A wide spectrum of issues including image and signal processing, parallel architectures/algorithms, sensor integration/fusion, and neural networks/fuzzy systems, are addressed in various papers.

Part 1 Image processing: GMLOS - a robust nonlinear filter for image processing applications, R.L. Kashyap; recursive estimation of higher order rotational motion using quarternions, S.S. Karandikar and S. Choudhury. Part 2 Parallel architectures/algorithms: reconfigurable meshes and image processing, S. Sahni; parallel ray-tracing computations on a network of heterogeneous workstations, M. Padala et al. Part 3 Signal processing: block algorithms for the parametric estimation of signals and systems, R.V. Raja Kumar and A. Mishra; ECG analysis using parametric techniques, L.M. Patnaik et al. Part 4 Sensor integration/fusion: algorithm for resolving inter-dimensional inconsistencies in redundant sensor arrays, R. Brooks and S. Iyengar; fusion rule estimation in multiple sensor systems with unknown noise distributions, N.S.V. Rao. Part 5 Neural networks/fuzzy systems: an artificial neural network model for image reconstruction from multiple frames of noisy sparse data, B. Yegnanarayana and R. Ramaseshan; an experimental character recognition system using neural networks, G. Nagaraja.

Erscheint lt. Verlag 1.6.1995
Reihe/Serie Series on Advances in Mathematics for Applied Sciences ; 31
Verlagsort Singapore
Sprache englisch
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Mathematik / Informatik Informatik Theorie / Studium
ISBN-10 981-02-2148-7 / 9810221487
ISBN-13 978-981-02-2148-5 / 9789810221485
Zustand Neuware
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