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 :
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