A COMPRESSED SENSING FRAMEWORK OF FREQUENCY-SPARSE SIGNALS THROUGH CHAOTIC SYSTEM

DOI10.1142/S0218127412501519zbMath1270.94040arXiv1112.3212OpenAlexW3100276863MaRDI QIDQ2843590

Shengyao Chen, Feng Xi, Zhong Liu

Publication date: 23 August 2013

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1112.3212

zbMATH Keywords

chaosparameter estimationcompressed sensingimpulsive synchronization

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Asymptotic properties of solutions to ordinary differential equations (34D05)

Related Items (2)

CHAOTIC ANALOG-TO-INFORMATION CONVERSION: PRINCIPLE AND RECONSTRUCTABILITY WITH PARAMETER IDENTIFIABILITY ⋮ SUPREME LOCAL LYAPUNOV EXPONENTS AND CHAOTIC IMPULSIVE SYNCHRONIZATION

Cites Work

• Unnamed Item
• Enhancing sparsity by reweighted \(\ell _{1}\) minimization
• Trust-region quadratic methods for nonlinear systems of mixed equalities and inequalities
• Block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization
• Impulsive stabilization and control of chaotic system.
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
• Iteratively reweighted least squares minimization for sparse recovery
• CONDITIONS FOR IMPULSIVE SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC SYSTEMS
• Compressed sensing

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