Paper Info
Title
A new architecture for FPGA implementation of a MAC unit for digital signal processors using mixed number system
Abstract
Execution of arithmetic operations at very high speed in real time is the major concern in digital signal processing (DSP) because DSP algorithms are computation intensive. In recent times, Residue Number Systems (RNS) are considered as alternative to binary number system because of their capabilities of performing "carry-free" addition and Multiplication. Double Base Number Systems (DBNS), another non-binary number systems are also increasingly becoming attractive for signal processing applications due to their capabilities of handling arithmetic operations, particularly multiplication efficiently. However, the complexity involved in converting binary to DBNS becomes a major bottleneck and the efficiency of performance decreases considerably due to large conversion time. So RNS Adder and DBNS Multiplier can be used to implement multiply & accumulate (MAC) units. Because RNS adders are less complex and faster compared to DBNS and DBNS multipliers are efficient compared to RNS multiplier. MAC units are the key units in Digital Signal Processors. In this paper we have shown how FIR filter can be implemented using the proposed "Mixed Number System MAC units".
Year
DOI
Venue
2012
10.1145/2234336.2234342
SIGARCH Computer Architecture News
Keywords
Field
DocType
mac unit,rns multiplier,base number systems,mixed number system,new architecture,residue number systems,mixed number system mac,dbns multiplier,digital signal processor,digital signal processing,rns adder,arithmetic operation,dsp algorithm,fpga implementation,fir filter,residue number system,signal processing,real time
Signal processing,Digital signal processing,Adder,Computer science,Digital signal processor,Parallel computing,Field-programmable gate array,Multiplier (economics),Real-time computing,Multiplication,Binary number
Journal
Volume
Issue
Citations 
40
2
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Aniruddha Ghosh114011.32
Satrughna Singha201.01
Amitabha Sinha3147.00