Frames for compressed sensing using coherence

اسناد مشابه

• Compressed Sensing with coherent tight frames via $l_q$-minimization for $0<q\leq1$

  سند علمی۲۰۱۱CoRRSong Li, Junhong Lin

  Our aim of this article is to reconstruct a signal from undersampled data in the situation that the signal is sparse in terms of a tight frame. We present a condition, which is independent of the coherence of the tight frame, to guarantee accurate recovery of signals which are sp

• frames for compressed sensing using coherence

  مقالهjournal of linear and topological algebra (jlta)l. gavruta, politehnica university of timisoara, department of mathematics, piata victoriei no.2, 300006 timisoara, romania; g zamani eskandani, faculty of sciences, department of mathematics, university of tabriz, tabriz, iran. p gavruta, politehnica university of timisoara, department of mathematics, piata victoriei no.2, 300006 timisoara, romania;

  we give some new results on sparse signal recovery in the presence of noise, forweighted spaces. traditionally, were used dictionaries that have the norm equal to 1, but, forrandom dictionaries this condition is rarely satis ed. moreover, we give better estimationsthen the ones g

• Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing

  سند علمی۲۰۱۳CoRRFelix Krahmer, Rayan Saab, Özgür Yilmaz

  Suppose that the collection {ei}i=1 forms a frame for R, where each entry of the vector ei is a sub-Gaussian random variable. We consider expansions in such a frame, which are then quantized using a Sigma-Delta scheme. We show that an arbitrary signal in R can be recovered from i

• A Novel Coherence Reduction Method in Compressed Sensing for DOA Estimation

  سند علمی۲۰۱۳J. Applied MathematicsLiu Jing, Chongzhao Han, Xianghua Yao, Feng Lian

  A novel method named as coherent column replacement method is proposed to reduce the coherence of a partially deterministic sensing matrix, which is comprised of highly coherent columns and random Gaussian columns. The proposed method is to replace the highly coherent columns wit

• Tolerant Compressed Sensing With Partially Coherent Sensing Matrices

  سند علمی۲۰۱۶CoRRTobias Birnbaum, Yonina C. Eldar, Deanna Needell

  Most of compressed sensing (CS) theory to date is focused on incoherent sensing, that is, columns from the sensing matrix are highly uncorrelated. However, sensing systems with naturally occurring correlations arise in many applications, such as signal detection, motion detection

• Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization

  سند علمی۲۰۱۵CoRRZhouchen Lin, Canyi Lu, Huan Li

  Compressed Sensing (CS) is a novel technique for simultaneous signal sampling and compression based on the existence of a sparse representation of signal and a projected dictionary PD, where P ∈ Rm×d is the projection matrix and D ∈ Rd×n is the dictionary. To exactly recover the