Signal Resampling and Interpolation: Building Continuous Signal Models
- 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 81-93
- Publication Date: September 2011
- Language: English
Preview this chapter:
Signal Resampling and Interpolation: Building Continuous Signal Models, Page 1 of 1
< Previous page | Next page > /docserver/preview/fulltext/9781608052301/chapter-9-1.gif
When working with sampled signals in computers, one frequently needs to refer back to their continuous originals. Typical applications that require reconstruction of continuous signal models are signal resampling for signal fractional shift, image geometrical transforms, signal restoration from sparse samples, to name a few. In this Chapter, we describe methods of discrete sinc-interpolation, the "gold standard" for interpolation of sampled data, and illustrate its advantages and some applications.
Hardbound ISBN:
9781608050260
Ebook ISBN:
9781608052301
-
From This Site
/content/books/9781608052301.chapter-9dcterms_subject,pub_keyword-contentType:Journal -contentType:Figure -contentType:Table -contentType:SupplementaryData105
/content/books/9781608052301.chapter-9
dcterms_subject,pub_keyword
-contentType:Journal -contentType:Figure -contentType:Table -contentType:SupplementaryData
10
5
Chapter
content/books/9781608052301
Book
false
en
