[HTML][HTML] Relevance of polynomial matrix decompositions to broadband blind signal separation
The polynomial matrix EVD (PEVD) is an extension of the conventional eigenvalue
decomposition (EVD) to polynomial matrices. The purpose of this article is to provide a …
decomposition (EVD) to polynomial matrices. The purpose of this article is to provide a …
Polynomial GSVD beamforming for two-user frequency-selective MIMO channels
In this paper, we propose a generalized singular value decomposition (GSVD) for
polynomial matrices, or polynomial GSVD (PGSVD). We then consider PGSVD-based …
polynomial matrices, or polynomial GSVD (PGSVD). We then consider PGSVD-based …
Neural Networks for Computing Eigenvalues of Parahermitian Matrices
Calculating the eigenvalues and eigenvectors of a polynomial matrix has proved to be an
important problem in signal processing, in recent years. There exists various iterative …
important problem in signal processing, in recent years. There exists various iterative …
Versatile direct and transpose matrix multiplication with chained operations: An optimized architecture using circulant matrices
T Iakymchuk, A Rosado-Munoz… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
With growing demands in real-time control, classification or prediction, algorithms become
more complex while low power and small size devices are required. Matrix multiplication …
more complex while low power and small size devices are required. Matrix multiplication …
FPGA implementation of eye movement detection algorithm
GK Kumar, B Narayanam - Microprocessors and Microsystems, 2021 - Elsevier
In this paper, we propose an simple and efficient VLSI hardware architecture is implemented
for eye movement detection. For Eye movement detection reading activity …
for eye movement detection. For Eye movement detection reading activity …
Detection of vowel-like speech: an efficient hardware architecture and it's FPGA prototype
In this paper, a robust vowel-like speech (VLS) detection method using modified non-local
means normalization factor (MNLM-NF) and it's FPGA prototype is proposed. In the original …
means normalization factor (MNLM-NF) and it's FPGA prototype is proposed. In the original …
Robust precoder for mitigating inter-symbol and inter-carrier interferences in coherent optical FBMC/OQAM
In this paper, a new precoder for a coherent optical filter bank multicarrier with offset
quadrature amplitude modulation (FBMC/OQAM) system is proposed. The precoder is …
quadrature amplitude modulation (FBMC/OQAM) system is proposed. The precoder is …
A LUT-based matrix multiplication using neural networks
Matrix multiplication is a prime operation in linear algebra and scientific computations. In this
paper, Artificial Neural Network-based matrix multiplication is introduced to create a …
paper, Artificial Neural Network-based matrix multiplication is introduced to create a …
Polynomial matrix decompositions and semi‐blind channel estimation for MIMO frequency‐selective channels
The authors propose a semi‐blind channel estimation (semi‐BCE) and precoding/decoding
technique for frequency selective (FS) multiple‐input multiple‐output (MIMO) channels. A FS …
technique for frequency selective (FS) multiple‐input multiple‐output (MIMO) channels. A FS …
[PDF][PDF] Investigation of flip-flop performance on different type and architecture in shift register with parallel load applications
Register is one of the computer components that have a key role in computer organisation.
Any kind of computer contains millions of registers that are manifested by flip-flop. This …
Any kind of computer contains millions of registers that are manifested by flip-flop. This …