Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Victor DeBrunner"'
Publikováno v:
Signals, Vol 2, Iss 4, Pp 688-705 (2021)
Direct computation of the discrete Fourier transform (DFT) and its FFT computational algorithms requires multiplication (and addition) of complex numbers. Complex number multiplication requires four real-valued multiplications and two real-valued add
Externí odkaz:
https://doaj.org/article/cbf93b77d963432fafe607f5622653bd
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)
Tsatsanis and Xu have applied the constrained minimum output variance (CMOV) principle to directly blind equalize a linear channel—a technique that has proven effective with white inputs. It is generally assumed in the literature that th
Externí odkaz:
https://doaj.org/article/77d03180cf6f495892cd637a4fe95c7a
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
IEEE Signal Processing Letters. 29:199-203
Publikováno v:
Signals
Volume 2
Issue 4
Pages 41-705
Signals, Vol 2, Iss 41, Pp 688-705 (2021)
Volume 2
Issue 4
Pages 41-705
Signals, Vol 2, Iss 41, Pp 688-705 (2021)
Direct computation of the discrete Fourier transform (DFT) and its FFT computational algorithms requires multiplication (and addition) of complex numbers. Complex number multiplication requires four real-valued multiplications and two real-valued add
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:2051-2059
The Discrete Hirschman Transform (DHT) is more computationally attractive than the Discrete Fourier Transform (DFT). Based on its derived linear convolution, we have confirmed that the DHT-based convolution filter shows its superiority in reducing co
Publikováno v:
IEEE Transactions on Signal Processing. 68:6444-6452
The Discrete Hirschman Transform (DHT) is a generalization of the entropy-based Hirschman Transform that canonically represents digital signals with sparse basis functions. The DHT is computationally attractive in providing the flexibility in hardwar
Autor:
Victor DeBrunner, Linda S. DeBrunner
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.
Autor:
Victor DeBrunner, Linda S. DeBrunner
Publikováno v:
ACSSC
The Heisenberg Uncertainty Principle provides a well-known constraint on time-frequency analysis. In FIR digital filtering, the concept is normally tangentially addressed through the FIR design via windowing methods, where the normal filtering constr