Results 171 to 180 of about 3,495,734 (230)

Single Residue Error Correction in Residue Number Systems

IEEE Transactions on Computers, 1983
Summary: We present a new method to correct single errors in an \(n\)-residue number system through the use of \(r\) redundant moduli. The method requires \(\lceil 2n/r\rceil + 2\) recombinations of \(n\) residues in the worst case. This is of lower complexity than any other known method.
openaire   +2 more sources

Residue number system reconfigurable datapath

2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), 2003
In this paper we describe a possible approach to implement a reconfigurable datapath for digital signal processing. The datapath should be programmable in terms of dynamic range, type and sequence of operations. We chose to implement it in the Residue Number System (RNS), because the RNS offers high speed and low power dissipation.
G.C. Cardarilli, A. Del Re, A. Nannarelli, M. Re   +3 more
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Residue Number Systems

Advanced Computing and Communications, 2017
Residue Number systems have been extensively studied in past four decades in view of their advantages in some applications in Digital Signal Processing and Cryptography. In this tutorial paper, we introduce the basic concepts highlighting the advantages and disadvantages over other number systems.
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Residue number system scaling schemes

SPIE Proceedings, 2005
Although multiplication and addition can be very efficiently implemented in a Residue Number System (RNS), scaling (division by a constant) is much more computationally complex. This limitation has prevented wider adoption of RNS. In this paper, different RNS scaling schemes are surveyed and compared.
Yinan Kong, Braden Phillips
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Compression and Transfer of Images in Wireless Sensor Networks Using the Transformation of Residue Number System

International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019
The paper proposes a new approach to compression and data transmission in Internet of Things environment, based on the transformation of the Residue Number System and the method of arithmetic coding.
V. Yatskiv, A. Sachenko, N. Yatskiv, P. Bykovyy, A. Segin   +4 more
semanticscholar   +1 more source

Self-Checking Residue Number System for Low-Power Reliable Neural Network

Asian Test Symposium, 2019
Neural Network suffers four major issues including acceleration, power consumption, area overhead and fault tolerance. In this paper we develop a systematic approach to design a low-power, compact, fast and reliable neural network based on a redundant ...
Tsung-Chu Huang
semanticscholar   +1 more source

Nanophotonics Based Residue Number System

OSA Advanced Photonics Congress (AP) 2019 (IPR, Networks, NOMA, SPPCom, PVLED), 2019
Here we design a nanophotonic RNS arithmetic by spatially shifting the input waveguides relative to the routers’ outputs, where the moduli are represented by the number of waveguides under 10’s ps computational execution time, which can be used for functional analysis of convolutional neural networks.
Shuai Sun, Jiaxin Peng, Tarek El-Ghazawi, Volker J. Sorger   +3 more
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Error correction in redundant residue number systems

1972 IEEE 2nd Symposium on Computer Arithmetic (ARITH), 1972
In this paper, two error-correcting algorithms for redundant residue number systems are presented, one for single residue-error correction and the other for burst residue-error correction. Neither algorithm requires table look-up and hence their implementations need a memory space which is much smaller than that required by existing methods ...
Yau, Stephen Sik-Sang, Liu, Yu-Cheng
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On Translation Algorithms in Residue Number Systems

IEEE Transactions on Computers, 1972
Summary: This paper considers translation problems in residue number systems. The conversion from a fixed-base representation to a residue representation can be done using residue adders only; we show that relatively simple combinational logic can be used to replace one level of residue addition.
Banerji, Dilip K., Brzozowski, Janusz A.
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Multiple Constant Multiplication through Residue Number System

2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009
Several algorithms have been developed over the years to reduce the number of additions needed for Multiple Constant Multiplication (MCM) and optimize the area. In this work, we present an approach to MCM which is based on the properties of the Residue Number System (RNS).
Shuli, I, Petricca, M, CARDARILLI, GIAN CARLO, Nannarelli, A, RE, MARCO   +4 more
openaire   +1 more source