scholarly journals Using of Residual Number System as a Mathematical Basis for Software Defined Radio

2019 ◽  
pp. 21-28
Author(s):  
O. I. Polikarovskykh ◽  
L. O. Kovtun ◽  
L. V. Karpova ◽  
I. V. Hula ◽  
V. M. Melnychuk
Keyword(s):  
Software Defined Radio ◽  
Number System ◽  
Mathematical Basis ◽  
Residual Number

scholarly journals CORDIC Architectures: A Survey

VLSI Design ◽  
2010 ◽  
Vol 2010 ◽  
pp. 1-19 ◽  
Author(s):  
B. Lakshmi ◽  
A. S. Dhar
Keyword(s):  
Software Defined Radio ◽  
High Speed ◽  
Mimo Systems ◽  
Detailed Comparison ◽  
Number System ◽  
Biomedical Signal Processing ◽  
Cordic Algorithm ◽  
Single Chip ◽  
Elementary Functions ◽  
Low Area

In the last decade, CORDIC algorithm has drawn wide attention from academia and industry for various applications such as DSP, biomedical signal processing, software defined radio, neural networks, and MIMO systems to mention just a few. It is an iterative algorithm, requiring simple shift and addition operations, for hardware realization of basic elementary functions. Since CORDIC is used as a building block in various single chip solutions, the critical aspects to be considered are high speed, low power, and low area, for achieving reasonable overall performance. In this paper, we first classify the CORDIC algorithm based on the number system and discuss its importance in the implementation of CORDIC algorithm. Then, we present systematic and comprehensive taxonomy of rotational CORDIC algorithms, which are subsequently discussed in depth. Special attention has been devoted to the higher radix and flat techniques proposed in the literature for reducing the latency. Finally, detailed comparison of various algorithms is presented, which can provide a first-order information to designers looking for either further improvement of performance or selection of rotational CORDIC for a specific application.

scholarly journals Storage Mechanism Optimization in Blockchain System Based on Residual Number System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 114539-114546 ◽  
Author(s):  
Haojuan Mei ◽  
Zhen Gao ◽  
Zhaohui Guo ◽  
Ming Zhao ◽  
Jinsheng Yang
Keyword(s):  
Number System ◽  
Storage Mechanism ◽  
Mechanism Optimization ◽  
Residual Number

scholarly journals Performance analysis of Low energy and highspeed DA-RNS based FIR filter design for SDR Applications on FPGA

2021 ◽  
Vol 15 ◽  
pp. 700-712
Author(s):  
B. N. Mohan Kumar ◽  
H. G. Rangaraju
Keyword(s):  
Software Defined Radio ◽  
Filter Design ◽  
Number System ◽  
Residue Number System ◽  
Fir Filter ◽  
Input Word ◽  
Trade Off ◽  
Reverse Translation ◽  
Residue Number ◽  
Fir Filter Design

For different applications, the Finite Impulse Response (FIR) filter is widely used in digital signal processing (DSP) applications. We exhibit a significant Residue Number System (RNS)-based FIR filter design for Software Defined Radio (SDR) filtration in this article. Including its underlying concurrency and information clustering process, the RNS provides important statistics over FIR application in specific. According to several residue computing and reverse translation, expanded bit size results in a significant performance trade-off, conversely. Through RNS replication, accompanied by conditional delay optimized reverse processing to minimize the FIR filter trade-off features with filter duration optimized Residue Number System arithmetic is proposed in this study, which involves distributed arithmetic-based residue processing. To execute the task of reverse translation and to store pre-computational properties, the suggested Residue Number System architecture makes use of built-in RAM blocks found in field-programmable gate array (FPGA) devices. The proposed FIR filter with core optimized RNS has the benefit of lowering processing latency delay while rising performance torque. Followed by FPGA hardware synthesis for different input word sizes and FIR lengths verification by the efficiency of the FIR filter core, fetal audio signal detection is performed first. The test results reveal that over the optimization procedure RNS method, a compromise in traditional RNS FIR over filter size is narrowed, as well as a substantial decrease in sophistication.

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