DocumentCode
1323778
Title
Fixed-Point Square Roots Using L-b Truncation [DSP Tips and Tricks]
Author
Seth, Abhishek ; Gan, Woon-Seng
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume
28
Issue
6
fYear
2011
Firstpage
149
Lastpage
153
Abstract
In this article, we describe several techniques to reduce computational workload of the Newton-Raphson (NR)-based fixed-point square rooting method. Using the described techniques, the computational workload of NR methods can be reduced at the expense of memory. These new techniques outperform existing fixed-point square rooting methods both in terms of results accuracy and computational efficiency.
Keywords
Newton-Raphson method; signal processing; DSP; L-b truncation; NR methods; Newton-Raphson method; fixed-point square rooting method; Approximation methods; Digital signal processing; Memory management; Signal processing algorithms; Table lookup;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2011.942297
Filename
6021881
Link To Document