The fixed-point hardware architecture of the QR decomposition is constrained by a several issues that leads to decrease of a compute accuracy depending on a matrix size. In this article described the hardware architectures based on CORDIC algorithm and approximation functions. As a basis technique is used a Givens rotation technique, because it is a most suitable technique for hardware implementation. © Siberian Federal University. All rights reserved
n this paper we propose new stable parallel algorithms based on Householder transformations and comp...
This paper introduces an algorithm for computing a QR decomposition of a polynomial matrix. The algo...
The coordinate rotational digital computer (CORDIC) is an arithmetic algorithm, which has been used ...
QR decomposition plays a huge role in the adaptive filtering, control systems and a computation mode...
Munoz, S.D.; Hormigo, J. "High-Throughput FPGA Implementation of QR Decomposition" IEEE Transactions...
Over the last 30 years Digital Signal Processing algorithm implementation has been driven by the con...
QR decomposition (QRD) is a widely used Numerical Linear Algebra (NLA) kernel with applications rang...
This is a post-peer-review, pre-copyedit version of an article published in Circuits, Systems, and S...
QR decomposition is a key operation in many current communication systems. This paper shows how to ...
MIMO techniques have been widely adopted to increase the data transmission rate or to improve the qu...
Matrix factorizations are important in many real-time signal processing applications. In order to i...
Matrix decomposition and computation constitute an important part of various signal processing, imag...
A survey of the new algorithm-architecture interaction arising from the use of vector rotations as p...
Matrix factorizations are important in many real-time signal processing applications. In order to im...
arallel strategies based on Givens rotations are proposed for updating the QR decomposition of an n ...
n this paper we propose new stable parallel algorithms based on Householder transformations and comp...
This paper introduces an algorithm for computing a QR decomposition of a polynomial matrix. The algo...
The coordinate rotational digital computer (CORDIC) is an arithmetic algorithm, which has been used ...
QR decomposition plays a huge role in the adaptive filtering, control systems and a computation mode...
Munoz, S.D.; Hormigo, J. "High-Throughput FPGA Implementation of QR Decomposition" IEEE Transactions...
Over the last 30 years Digital Signal Processing algorithm implementation has been driven by the con...
QR decomposition (QRD) is a widely used Numerical Linear Algebra (NLA) kernel with applications rang...
This is a post-peer-review, pre-copyedit version of an article published in Circuits, Systems, and S...
QR decomposition is a key operation in many current communication systems. This paper shows how to ...
MIMO techniques have been widely adopted to increase the data transmission rate or to improve the qu...
Matrix factorizations are important in many real-time signal processing applications. In order to i...
Matrix decomposition and computation constitute an important part of various signal processing, imag...
A survey of the new algorithm-architecture interaction arising from the use of vector rotations as p...
Matrix factorizations are important in many real-time signal processing applications. In order to im...
arallel strategies based on Givens rotations are proposed for updating the QR decomposition of an n ...
n this paper we propose new stable parallel algorithms based on Householder transformations and comp...
This paper introduces an algorithm for computing a QR decomposition of a polynomial matrix. The algo...
The coordinate rotational digital computer (CORDIC) is an arithmetic algorithm, which has been used ...