Munoz, S.D.; Hormigo, J. "High-Throughput FPGA Implementation of QR Decomposition" IEEE Transactions on in Circuits and Systems II: Express Briefs,vol.62, no.9, pp.861-865, Sept. 2015 doi: 10.1109/TCSII.2015.2435753This brief presents a hardware design to achieve high-throughput QR decomposition, using Givens Rotation Method. It utilizes a new two-dimensional systolic array architecture with pipelined processing elements, which are based on the COordinate Rotation DIgital Computer (CORDIC) algorithm. CORDIC computes vector rotations through shifts and additions. This approach allows a continuous computation of QR factorizations with simple hardware. A fixed-point FPGA architecture for 4 x 4 matrices has been optimized by balancing the nu...
System-On-Chip (SOC) is one of the most popular Computer Aided Design (CAD) methodologies in electro...
A novel architecture for QR-decomposition-based (QRD) recursive least squares (RLS) is presented. It...
In the world of high performance computing huge efforts have been put to accelerate Numerical Linear...
QR decomposition plays a huge role in the adaptive filtering, control systems and a computation mode...
This is a post-peer-review, pre-copyedit version of an article published in Circuits, Systems, and S...
Matrix decomposition and computation constitute an important part of various signal processing, imag...
The fixed-point hardware architecture of the QR decomposition is constrained by a several issues tha...
MIMO techniques have been widely adopted to increase the data transmission rate or to improve the qu...
QR decomposition is a key operation in many current communication systems. This paper shows how to ...
Thesis: S.M. in Engineering, Massachusetts Institute of Technology, Department of Electrical Enginee...
This paper proposes the digital circuit design that performs the eigenvalue calculation of asymmetri...
QR decomposition (QRD) is a widely used Numerical Linear Algebra (NLA) kernel with applications rang...
Over the last 30 years Digital Signal Processing algorithm implementation has been driven by the con...
CORDIC based improved real and complex QR Decomposition (QRD) for channel pre-processing operations ...
The coordinate rotational digital computer (CORDIC) is an arithmetic algorithm, which has been used ...
System-On-Chip (SOC) is one of the most popular Computer Aided Design (CAD) methodologies in electro...
A novel architecture for QR-decomposition-based (QRD) recursive least squares (RLS) is presented. It...
In the world of high performance computing huge efforts have been put to accelerate Numerical Linear...
QR decomposition plays a huge role in the adaptive filtering, control systems and a computation mode...
This is a post-peer-review, pre-copyedit version of an article published in Circuits, Systems, and S...
Matrix decomposition and computation constitute an important part of various signal processing, imag...
The fixed-point hardware architecture of the QR decomposition is constrained by a several issues tha...
MIMO techniques have been widely adopted to increase the data transmission rate or to improve the qu...
QR decomposition is a key operation in many current communication systems. This paper shows how to ...
Thesis: S.M. in Engineering, Massachusetts Institute of Technology, Department of Electrical Enginee...
This paper proposes the digital circuit design that performs the eigenvalue calculation of asymmetri...
QR decomposition (QRD) is a widely used Numerical Linear Algebra (NLA) kernel with applications rang...
Over the last 30 years Digital Signal Processing algorithm implementation has been driven by the con...
CORDIC based improved real and complex QR Decomposition (QRD) for channel pre-processing operations ...
The coordinate rotational digital computer (CORDIC) is an arithmetic algorithm, which has been used ...
System-On-Chip (SOC) is one of the most popular Computer Aided Design (CAD) methodologies in electro...
A novel architecture for QR-decomposition-based (QRD) recursive least squares (RLS) is presented. It...
In the world of high performance computing huge efforts have been put to accelerate Numerical Linear...