Dictionary Design for Distributed Compressive Sensing
نویسندگان
چکیده
منابع مشابه
Distributed Compressive Sensing
Compressive sensing is a signal acquisition framework based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable recovery. In this paper we introduce a new theory for distributed compressive sensing (DCS) that enables new distributed coding algorithms for multi-signal ensembles that exploit both intraand inter-signal correlati...
متن کاملGeneralized Distributed Compressive Sensing
Distributed Compressive Sensing (DCS) [1] improves the signal recovery performance of multi signal ensembles by exploiting both intraand inter-signal correlation and sparsity structure. However, the existing DCS was proposed for a very limited ensemble of signals that has single common information [1]. In this paper, we propose a generalized DCS (GDCS) which can improve sparse signal detection ...
متن کاملSensing Dictionary Construction for Orthogonal Matching Pursuit Algorithm in Compressive Sensing Sensing Dictionary Construction for Orthogonal Matching Pursuit Algorithm in Compressive Sensing
In compressive sensing, the fundamental problem is to reconstruct sparse signal from its nonadaptive insufficient linear measurement. Besides sparse signal reconstruction algorithms, measurement matrix or measurement dictionary plays an important part in sparse signal recovery. Orthogonal Matching Pursuit (OMP) algorithm, which is widely used in compressive sensing, is especially affected by me...
متن کاملOnline Multilinear Dictionary Learning for Sequential Compressive Sensing
A method for online tensor dictionary learning is proposed. With the assumption of separable dictionaries, tensor contraction is used to diminish a N -way model ofO (
متن کاملDistributed and Cooperative Compressive Sensing Recovery Algorithm for Wireless Sensor Networks with Bi-directional Incremental Topology
Recently, the problem of compressive sensing (CS) has attracted lots of attention in the area of signal processing. So, much of the research in this field is being carried out in this issue. One of the applications where CS could be used is wireless sensor networks (WSNs). The structure of WSNs consists of many low power wireless sensors. This requires that any improved algorithm for this appli...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2015
ISSN: 1070-9908,1558-2361
DOI: 10.1109/lsp.2014.2350024