A Scalable VLSI Architecture for Real-Time and Energy-Efficient Sparse Approximation in Compressive Sensing Systems
نویسندگان
چکیده
of the Dissertation A Scalable VLSI Architecture for Real-Time and Energy-Efficient Sparse Approximation in Compressive Sensing Systems
منابع مشابه
Design of a novel congestion-aware communication mechanism for wireless NoC architecture in multicore systems
Hybrid Wireless Network-on-Chip (WNoC) architecture is emerged as a scalable communication structure to mitigate the deficits of traditional NOC architecture for the future Multi-core systems. The hybrid WNoC architecture provides energy efficient, high data rate and flexible communications for NoC architectures. In these architectures, each wireless router is shared by a set of processing core...
متن کاملMAECHLER et al.: VLSI DESIGN OF APPROXIMATE MESSAGE PASSING FOR SIGNAL RESTORATION AND COMPRESSIVE SENSING
Sparse signal recovery finds use in a variety of practical applications, such as signal and image restoration and the recovery of signals acquired by compressive sensing. In this paper, we present two generic VLSI architectures that implement the approximate message passing (AMP) algorithm for sparse signal recovery. The first architecture, referred to as AMP-M, employs parallel multiply-accumu...
متن کاملSimultaneous Sparse Approximation and Common Component Extraction using Fast Distributed Compressive Sensing
Simultaneous sparse approximation is a generalization of the standard sparse approximation, for simultaneously representing a set of signals using a common sparsity model. Generalizing the compressive sensing concept to the simultaneous sparse approximation yields distributed compressive sensing (DCS). DCS finds the sparse representation of multiple correlated signals using the common + innovat...
متن کاملScalable and parameterised VLSI architecture for efficient sparse approximation in FPGAs and SoCs
Techset Com A parameterised and scalable very large scale integration (VLSI) soft intellectual property (IP) is presented that can be implemented in programmable logic devices, such as field programmable gate arrays (FPGAs) or a system-on-chip design for efficient sparse approximation. The proposed architecture is optimised based on the orthogonal matching pursuit algorithm by both algorithm re...
متن کاملPrecomputed Compressive Sensing for Light Transport Acquisition
In this article, we propose an efficient and accurate compressive-sensing-based method for estimating the light transport characteristics of real-world scenes. Although compressive sensing allows the efficient estimation of a high-dimensional signal with a sparse or near-to-sparse representation from a small number of samples, the computational cost of the compressive sensing in estimating the ...
متن کامل