Numerical Differentiation and Integration
- By Leonid Yaroslavsky1
-
View Affiliations Hide Affiliations1 Dept. of Physical Electronics, School of Electrical Engineering, Tel Aviv University, Tel Aviv 69978, Israel.
- Source: Fast Transform Methods in Digital Signal Processing: Theory, Applications, Efficient Algorithms , pp 94-102
- Publication Date: September 2011
- Language: English
Preview this chapter:
Numerical Differentiation and Integration, Page 1 of 1
< Previous page | Next page > /docserver/preview/fulltext/9781608052301/chapter-10-1.gif
Numerical differentiation and integration are very frequently required in processing experimental data. Typical examples, to name a few, are measuring velocities or acceleration from position or, respectively, velocity data, image reconstruction from projections by the method of "back projection", profile reconstruction from slope data in optical metrology. In this chapter, we describe transform based numerical differentiation and integration algorithms and demonstrate their advantages over standard numerical differentiation and integration algorithm.
Hardbound ISBN:
9781608050260
Ebook ISBN:
9781608052301
-
From This Site
/content/books/9781608052301.chapter-10dcterms_subject,pub_keyword-contentType:Journal -contentType:Figure -contentType:Table -contentType:SupplementaryData105
/content/books/9781608052301.chapter-10
dcterms_subject,pub_keyword
-contentType:Journal -contentType:Figure -contentType:Table -contentType:SupplementaryData
10
5
Chapter
content/books/9781608052301
Book
false
en
