Influences of Hardware Implementation on a High Speed Digital Adaptive Filter Using the Residue Number System.

1982 ◽  
Author(s):  
Kimberly D. Weinmann
Keyword(s):  
Adaptive Filter ◽  
High Speed ◽  
Hardware Implementation ◽  
Number System ◽  
Residue Number System ◽  
Residue Number

scholarly journals Constant-coefficient FIR filters based on residue number system arithmetic

2012 ◽  
Vol 9 (3) ◽  
pp. 325-342 ◽  
Author(s):  
Negovan Stamenkovic ◽  
Vladica Stojanovic
Keyword(s):  
Power Dissipation ◽  
High Speed ◽  
Finite Impulse Response ◽  
Number System ◽  
Residue Number System ◽  
Fir Filter ◽  
Fir Filters ◽  
Residue Number ◽  
Low Power Dissipation ◽  
Residue Arithmetic

In this paper, the design of a Finite Impulse Response (FIR) filter based on the residue number system (RNS) is presented. We chose to implement it in the (RNS), because the RNS offers high speed and low power dissipation. This architecture is based on the single RNS multiplier-accumulator (MAC) unit. The three moduli set {2n+1,2n,2n-1}, which avoids 2n+1 modulus, is used to design FIR filter. A numerical example illustrates the principles of residue encoding, residue arithmetic, and residue decoding for FIR filters.

HARDWARE IMPLEMENTATION OF VIDEO PROCESSING DEVICE USING RESIDUE NUMBER SYSTEM

2021 ◽  
pp. 15-21
Author(s):  
Pavel Alekseyevich Lyakhov ◽  
Andrey Sergeevich Ionisyan ◽  
Violetta Vladimirovna Masaeva ◽  
Maria Vasilevna Valueva
Keyword(s):  
Video Processing ◽  
Hardware Implementation ◽  
Number System ◽  
Residue Number System ◽  
Residue Number ◽  
Processing Device

An improved hardware implementation of the one hot Residue Number System

2014 ◽  
Author(s):  
Carlos Arturo Gayoso ◽  
Claudio Gonzalez ◽  
Leonardo Arnone ◽  
Miguel Rabini ◽  
Jorge Castineira Moreira
Keyword(s):  
Hardware Implementation ◽  
Number System ◽  
Residue Number System ◽  
Residue Number ◽  
The One

Interval Estimation of Relative Values in Residue Number System

2017 ◽  
Vol 27 (01) ◽  
pp. 1850004 ◽  
Author(s):  
Konstantin Isupov ◽  
Vladimir Knyazkov
Keyword(s):  
High Speed ◽  
Interval Estimation ◽  
Number System ◽  
Residue Number System ◽  
Floating Point ◽  
Limiting Factor ◽  
Small Integer ◽  
Magnitude Comparison ◽  
Mixed Radix Conversion ◽  
Residue Number

Residue number system (RNS), due to its carry-free nature, is popular in many applications of high-speed computer arithmetic, especially in digital signal processing and cryptography. However, the main limiting factor of RNS is a high complexity of such operations as magnitude comparison, sign determination and overflow detection. These operations have, for many years, been a major obstacle to more widespread use of parallel residue arithmetic. This paper presents a new efficient method to perform these operations, which is based on computation and analysis of the interval estimation for the relative value of an RNS number. The estimation, which is called the interval floating-point characteristic (IFC), is represented by two directed rounded bounds that are fixed-precision numbers. Generally, the time complexities of serial and parallel computations of IFC are linear and logarithmic functions of the size of the moduli set, respectively. The new method requires only small-integer and fixed-precision floating-point operations and focuses on arbitrary moduli sets with large dynamic ranges ([Formula: see text]). Experiments indicate that the performance of the proposed method is significantly higher than that of methods based on Mixed-Radix Conversion.

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