FPGA implementation of orthogonal matching pursuit for compressive sensing reconstruction
H Rabah, A Amira, BK Mohanty… - … Transactions on very …, 2014 - ieeexplore.ieee.org
In this paper, we present a novel architecture based on field-programmable gate arrays
(FPGAs) for the reconstruction of compressively sensed signal using the orthogonal …
(FPGAs) for the reconstruction of compressively sensed signal using the orthogonal …
Compressive sampling hardware reconstruction
A Septimus, R Steinberg - Proceedings of 2010 IEEE …, 2010 - ieeexplore.ieee.org
Compressive Sampling reconstruction techniques require computationally intensive
algorithms, often using L 1 optimization to reconstruct a signal that was originally sampled at …
algorithms, often using L 1 optimization to reconstruct a signal that was originally sampled at …
Early divergence, broad distribution, and high diversity of animal chitin synthases
AC Zakrzewski, A Weigert, C Helm… - Genome biology and …, 2014 - academic.oup.com
Even though chitin is one of the most abundant biopolymers in nature, current knowledge on
chitin formation is largely based only on data from fungi and insects. This study reveals …
chitin formation is largely based only on data from fungi and insects. This study reveals …
The “Chimera”: An Off‐The‐Shelf CPU/GPGPU/FPGA Hybrid Computing Platform
The nature of modern astronomy means that a number of interesting problems exhibit a
substantial computational bound and this situation is gradually worsening. Scientists …
substantial computational bound and this situation is gradually worsening. Scientists …
High level prototyping and FPGA implementation of the orthogonal matching pursuit algorithm
P Blache, H Rabah, A Amira - 2012 11th International …, 2012 - ieeexplore.ieee.org
In this paper we present a novel hardware architecture for reconstruction of signals in
compressed sensing. The proposed architecture is based on the orthogonal matching …
compressed sensing. The proposed architecture is based on the orthogonal matching …
The implementation of the improved OMP for AIC reconstruction based on parallel index selection
S Liu, N Lyu, H Wang - IEEE Transactions on Very Large Scale …, 2017 - ieeexplore.ieee.org
Sparse signal recovery becomes extremely challenging for a variety of real-time
applications. In this paper, we improve the orthogonal matching pursuit (OMP) algorithm …
applications. In this paper, we improve the orthogonal matching pursuit (OMP) algorithm …
Compressed sensing and Cholesky decomposition on FPGAs and GPUs
Compressed sensing (CS) is a revolutionary signal acquisition theory, enabling signal
acquisition at a rate that is below the Nyquist sampling rate. However, CS signal …
acquisition at a rate that is below the Nyquist sampling rate. However, CS signal …
An FPGA implementation for solving least square problem
This paper proposes a high performance least square solver on FPGAs using the Cholesky
decomposition method. Our design can be realized by iteratively adopting a single triangular …
decomposition method. Our design can be realized by iteratively adopting a single triangular …
Implicit vs. explicit approximate matrix inversion for wideband massive MU-MIMO data detection
Massive multi-user (MU) MIMO wireless technology promises improved spectral efficiency
compared to that of traditional cellular systems. While data-detection algorithms that rely on …
compared to that of traditional cellular systems. While data-detection algorithms that rely on …
DRAM or no-DRAM? Exploring linear solver architectures for image domain warping in 28 nm CMOS
M Schaffner, FK Gürkaynak, A Smolic… - … Design, Automation & …, 2015 - ieeexplore.ieee.org
Solving large optimization problems within the energy and cost budget of mobile SoCs in
real-time is a challenging task and motivates the development of specialized hardware …
real-time is a challenging task and motivates the development of specialized hardware …