| Algebraically Approximate and Noisy Realization of Discrete-Time Systems and Digital Images 2009 Edition Contributor(s): Hasegawa, Yasumichi (Author) |
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ISBN: 3642260454 ISBN-13: 9783642260452 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: March 2012 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Automation - Technology & Engineering | Electronics - General - Computers | Computer Graphics |
| Dewey: 006.37 |
| Series: Lecture Notes in Electrical Engineering |
| Physical Information: 0.56" H x 6.14" W x 9.21" (0.84 lbs) 255 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This monograph deals with approximation and noise cancellation of dyn- ical systems which include linear and nonlinear input/output relationships. It also deal with approximation and noise cancellation of two dimensional arrays. It will be of special interest to researchers, engineers and graduate students who have specialized in ?ltering theory and system theory and d- ital images. This monograph is composed of two parts. Part I and Part II will deal with approximation and noise cancellation of dynamical systems or digital images respectively. From noiseless or noisy data, reduction will be made. A method which reduces model information or noise was proposed in the reference vol. 376 in LNCIS Hasegawa, 2008]. Using this method will allow model description to be treated as noise reduction or model reduction without having to bother, for example, with solving many partial di?er- tial equations. This monograph will propose a new and easy method which produces the same results as the method treated in the reference. As proof of its advantageous e?ect, this monograph provides a new law in the sense of numerical experiments. The new and easy method is executed using the algebraic calculations without solving partial di?erential equations. For our purpose, manyactualexamplesofmodelinformationandnoisereductionwill also be provided. Using the analysis of state space approach, the model reduction problem may have become a major theme of technology after 1966 for emphasizing e?ciency in the ?elds of control, economy, numerical analysis, and others |