Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Ephraim Feig"'
Publikováno v:
2016 IEEE International Conference on Web Services (ICWS).
Publikováno v:
2014 IEEE 7th International Conference on Cloud Computing.
Autor:
Ephraim Feig, Michael Ben-Or
Publikováno v:
Linear Algebra and its Applications. 266:81-106
An algebraic theory for the discrete cosine transform (DCT) is developed, which is analogous to the well-known theory of the discrete Fourier transform (DFT). Whereas the latter diagonalizes a convolution algebra, which is a polynomial algebra modulo
Autor:
Ephraim Feig, E. Linter
Publikováno v:
IEEE Transactions on Signal Processing. 43:43-50
Given efficient scaled discrete cosine transforms (DCT's) of size p and q, where p and q are relatively prime, we present methods for constructing fast algorithms to compute scaled DCT's and scaled inverse DCT's of size pq. Extensions to multidimensi
Publikováno v:
2012 IEEE First International Conference on Mobile Services.
Publikováno v:
2012 IEEE Fifth International Conference on Cloud Computing.
Publikováno v:
Algorithmica. 12:72-109
TheUniform Memory Hierarchy (UMH) model introduced in this paper captures performance-relevant aspects of the hierarchical nature of computer memory. It is used to quantify architectural requirements of several algorithms and to ratify the faster spe
Autor:
Elliot Linzer, Ephraim Feig
Publikováno v:
Mathematics of Computation. 60:347-361
We introduce fast Fourier transform algorithms (FFTs) designed for fused multiply-add architectures. We show how to compute a complex discrete Fourier transform (DFT) of length n = 2 m n = {2^m} with 8 3 n m − 16 9 n + 2 − 2 9 ( − 1 ) m \frac {
Publikováno v:
2010 6th World Congress on Services.
SERVICES 2010 is in its sixth year and its theme is modernization of the services industry. This congress emphasizes the science and technology of modernizing services industries with latest methods and technologies, including the services, cloud com
Autor:
Ephraim Feig, Elliot Linzer
Publikováno v:
Advances in Applied Mathematics. 13:494-503
We obtain the multiplicative complexity of discrete cosine transforms in all cases. It is given as a function of the multiplicative complexity of discrete Fourier transforms. The latter have all been determined previously.