16 citations · 22 across the 11 of their papers we have counts for
11 papers
Compressed Sensor Caching and Collaborative Sparse Data Recovery with Anchor Alignment
Yi-Jen Yang, Ming-Hsun Yang, Jwo-Yuh Wu +1
This work examines the compressed sensor caching problem in wireless sensor networks and devises efficient distributed sparse data recovery algorithms to enable collaboration among…
Greedier is Better: Selecting Multiple Neighbors per Iteration for Sparse Subspace Clustering
Jwo-Yuh Wu, Liang-Chi Huang, Wen-Hsuan Li +2
Sparse subspace clustering (SSC) using greedy-based neighbor selection, such as orthogonal matching pursuit (OMP), has been known as a popular computationally-efficient alternative…
Sparse Affine Sampling: Ambiguity-Free and Efficient Sparse Phase Retrieval
Ming-Hsun Yang, Y. -W. Peter Hong, Jwo-Yuh Wu
Conventional sparse phase retrieval schemes can recover sparse signals from the magnitude of linear measurements only up to a global phase ambiguity. This work proposes a novel app…
Provable Noisy Sparse Subspace Clustering using Greedy Neighbor Selection: A Coherence-Based Perspective
Jwo-Yuh Wu, Wen-Hsuan Li, Liang-Chi Huang +3
Sparse subspace clustering (SSC) using greedy-based neighbor selection, such as matching pursuit (MP) and orthogonal matching pursuit (OMP), has been known as a popular computation…
Sparse Subspace Clustering via Two-Step Reweighted L1-Minimization: Algorithm and Provable Neighbor Recovery Rates
Jwo-Yuh Wu, Liang-Chi Huang, Ming-Hsun Yang +1
Sparse subspace clustering (SSC) relies on sparse regression for accurate neighbor identification. Inspired by recent progress in compressive sensing, this paper proposes a new spa…
Fusion-Based Cooperative Support Identification for Compressive Networked Sensing
Ming-Hsun Yang, Jwo-Yuh Wu, Tsang-Yi Wang +2
This paper proposes a fusion-based cooperative support identification scheme for distributed compressive sparse signal recovery via resource-constrained wireless sensor networks. T…
MmWave UAV Networks with Multi-cell Association: Performance Limit and Optimization
Chun-Hung Liu, Kai-Hsiang Ho, Jwo-Yuh Wu
This paper aims to exploit the fundamental limits on the downlink coverage and spatial throughput performances of a cellular network comprised of a tier of unmanned aerial vehicle…
Energy-Efficient Sensor Censoring for Compressive Distributed Sparse Signal Recovery
Jwo-Yuh Wu, Ming-Hsun Yang, Tsang-Yi Wang
To strike a balance between energy efficiency and data quality control, this paper proposes a sensor censoring scheme for distributed sparse signal recovery via compressive-sensing…
Amplitude-Aided 1-Bit Compressive Sensing Over Noisy Wireless Sensor Networks
Ching-Hsien Chen, Jwo-Yuh Wu
Abstract-One-bit compressive sensing (CS) is known to be particularly suited for resource-constrained wireless sensor networks (WSNs). In this paper, we consider 1-bit CS over nois…
An Improved RIP-Based Performance Guarantee for Sparse Signal Recovery via Orthogonal Matching Pursuit
Ling-Hua Chang, Jwo-Yuh Wu
A sufficient condition reported very recently for perfect recovery of a K-sparse vector via orthogonal matching pursuit (OMP) in K iterations is that the restricted isometry consta…
Achievable Angles Between two Compressed Sparse Vectors Under Norm/Distance Constraints Imposed by the Restricted Isometry Property: A Plane Geometry Approach
Ling-Hua Chang, Jwo-Yuh Wu
The angle between two compressed sparse vectors subject to the norm/distance constraints imposed by the restricted isometry property (RIP) of the sensing matrix plays a crucial rol…