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
         
        
        
        
        
        
        
            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;
         
        
        
            Journal_Title : 
Signal Processing Magazine, IEEE
         
        
        
        
        
            DOI : 
10.1109/MSP.2011.942297