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Isomorphic number theoretic transforms
Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering', 2003It is noted that the computational cost of circular convolutions can be reduced to a large extent by using number-theoretic transforms (NTTs). The author proposes a novel algorithm for removing the necessity for the transforming element of the NTT to be coincident with a power of 2.
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FPGA Acceleration of Number Theoretic Transform
2021Fully Homomorphic Encryption (FHE) is a technique that enables arbitrary computations on encrypted data directly. Number Theoretic Transform (NTT) is a fundamental component in FHE computations as it allows faster polynomial multiplication. However, it is computationally intensive and requires acceleration for practical deployment of FHE.
Tian Ye +4 more
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Microprocessor implementation of number theoretic transforms
IEE Journal on Electronic Circuits and Systems, 1979Consideration is given to the suitability of microprocessor systems for the fast implementation of number theoretic transforms (n.t.t.s). Fast-multiply instructions available on some microprocessors, or the use of external multipliers, relax the basic constraints on the choice of a particular n.t.t.
S.C.P. Martin, B.J. Stanier
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Number Theoretic Transformation Techniques
1989Processing signals with a digital computer or with dedicated digital hardware involves the implementation of computational schemes on sequences of numbers. Practically, it is not possible to process an infinitely long sequence, although it is common practice to analyze many processing systems as though this were the case.
Robert King +4 more
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Generalized Fermat-Mersenne number theoretic transform
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1994Let \(\mathbb{Z}_ p\) be the ring of integers \(\{0,1, \dots, p - 1\}\). The number theoretic transform of \(\{x(n)\}_{n = 0}^{N - 1}\) for \(x(n) \in \mathbb{Z}_ p\) is defined as \(X(k) = \sum_{n = 0}^{N - 1} x(n) \alpha^{nk}\), \(k = 0,1, \dots,N - 1\) where \(\alpha^ N \equiv 1 \pmod{p}\) while \(\alpha^ k \not\equiv 1\pmod{p}\) for all \(k < N ...
Dimitrov, Vassil S. +2 more
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Fast Multipliers for Number Theoretic Transforms
IEEE Transactions on Computers, 1978Summary: When digital filters are implemented with number theoretic transforms (NTTs), the bulk of the computation usually corresponds to multiplications in residue arithmetic. We show that, with the most commonly used NTTs, multiplication can be speeded up at the expense of small additional storage requirements.
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Quantum number theoretic transforms on multipartite finite systems
Journal of the Optical Society of America A, 2009A quantum system composed of p-1 subsystems, each of which is described with a p-dimensional Hilbert space (where p is a prime number), is considered. A quantum number theoretic transform on this system, which has properties similar to those of a Fourier transform, is studied.
A, Vourdas, S, Zhang
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1977
The theory of Number Theoretic Transforms having circular convolution properties is developed from the definition of circular convolution. The application of these transforms to digital signal processing is discussed. The lectures include the following sections. 1. Circular convolution; 2. Circulant diagonalisation; 3.
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The theory of Number Theoretic Transforms having circular convolution properties is developed from the definition of circular convolution. The application of these transforms to digital signal processing is discussed. The lectures include the following sections. 1. Circular convolution; 2. Circulant diagonalisation; 3.
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A Fast Number Theoretic Finite Radon Transform
2009 Digital Image Computing: Techniques and Applications, 2009This paper presents a new fast method to map between images and their digital projections based on the Number Theoretic Transform (NTT) and the Finite Radon Transform (FRT). The FRT is a Discrete Radon Transform (DRT) defined on the same finite geometry as the Finite or Discrete Fourier Transform (DFT).
Shekhar Chandra, Imants Svalbe
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1981
Most of the fast convolution techniques discussed so far are essentially algebraic methods which can be implemented with any type of arithmetic. In this chapter, we shall show that the computation of convolutions can be greatly simplified when special arithmetic is used.
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Most of the fast convolution techniques discussed so far are essentially algebraic methods which can be implemented with any type of arithmetic. In this chapter, we shall show that the computation of convolutions can be greatly simplified when special arithmetic is used.
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