Skip to Main Content
SVD and Signal Processing, III
book

SVD and Signal Processing, III

by M. Moonen, B. De Moor
March 1995
Intermediate to advanced content levelIntermediate to advanced
498 pages
23h 58m
English
Elsevier Science
Content preview from SVD and Signal Processing, III
180
R.D. Fierro and J.R. Bunch
This shows a large [IH[I translates to a large sin CULY. In the next section we discuss
a way to produce a small IIH[] for the high-rank case k ~ min(m, n). Comparing the a
posteriori bounds for the URV and ULV, we may conclude that the ULV can be expected
to yield a higher quality estimate of the numerical nullspace than the URV. Tables 1-4
summarize the results of some typical experiments that verify this conclusion.
3 THE IMPORTANCE OF A GOOD CONDITION ESTIMATOR
As mentioned earlier, any URV or ULV decomposition may be refined iteratively using
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Mathematical Foundations for Signal Processing, Communications, and Networking

Mathematical Foundations for Signal Processing, Communications, and Networking

Erchin Serpedin, Thomas Chen, Dinesh Rajan
Ultra-Dense Networks for 5G and Beyond

Ultra-Dense Networks for 5G and Beyond

Trung Q. Duong, Xiaoli Chu, Himal A. Suraweera
Rugged Embedded Systems

Rugged Embedded Systems

Augusto Vega, Pradip Bose, Alper Buyuktosunoglu

Publisher Resources

ISBN: 9780444821072