In compressed sensing (CS) signal recovery tasks, employing prior constraints to exploit the
inherent properties in the signal is critical to the recovery performance. Recently, multiple …

With the rapid popularization of mobile intelligent terminals, mobile video and cloud services
applications are widely used in people's lives. However, the resource-constrained …

In this paper, we propose a new hardware architecture of a very high-speed finite impulse
response (FIR) filter using fine-grained seamless pipelining. The proposed full-parallel …

This letter proposes a novel compressive sensing reconstruction method for correlated
images by using joint regularization, where a compensation-based adaptive total variation …

Existing multi-hypothesis (MH) prediction algorithms in compressed video sensing (CVS)
are all deployed in measurement domain, which restricts the flexibility of block partitioning in …

How do we self-localize large teams of underwater nodes using only noisy range
measurements? How do we do it in a distributed way, and incorporating dynamics into the …

Compressive sensing (CS) is a recently emerging technique and an extensively studied
problem in signal and image processing, which enables joint sampling and compression …

Distributed compressed video sensing scheme combines advantages of compressive
sensing and distributed video coding to get better performance, in the meantime, adapts to …

Multihypothesis-based compressed video sensing scheme attracts wide attention in the
research of resource-constrained video application scenarios. However, high-accuracy …

视频压缩感知在采集端资源受限的视频采集应用场景有重要研究意义. 重构算法是视频压缩感知
的关键技术, 基于多假设预测的“预测-残差重构” 框架具有良好的重构性能. 但现有的多假设预测 …