| 书目名称 | Wavelet Applications in Chemical Engineering |
| 编辑 | Rodolphe L. Motard,Babu Joseph |
| 视频video | |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | Increasing emphasis on safety, productivity and quality control has provided an impetus to research on better methodologies for fault diagnosis, modeling, identification, control and optimization ofchemical process systems. One of the biggest challenges facing the research community is the processing of raw sensordata into meaningful information. Wavelet analysis is an emerging field of mathematics that has provided new tools and algorithms suited for the type of problems encountered in process monitoring and control. The concept emerged in the geophysical field as a result ofthe need for time-frequency analytical techniques. It has since been picked up by mathematicians and recognized as a unifying theory for many ofthe methodologies employed in the past in physics and signal processing. l Meyer states: "Wavelets are without doubt an exciting and intuitive concept. The concept brings with it a new way of thinking, which is absolutely essential and was entirely missing in previously existing algorithms. " The unification ofthe theory from these disciplines has led to applications of wavelet transforms in many areas ofscience and engineering including: • pattern recognition • signal |
| 出版日期 | Book 1994 |
| 关键词 | algorithms; chemical engineering; control; differential equation; identification; information; mathematics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-2708-4 |
| isbn_softcover | 978-1-4613-6166-4 |
| isbn_ebook | 978-1-4615-2708-4Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 1994 |
发表于 2025-3-21 18:40:03
