2 Papers
Lu Wang is an academic researcher from Agency for Science, Technology and Research. The author has contributed to research in topics: Computer science & Compressed sensing. The author has co-authored 1 publications.
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Papers
Adaptive Cluster Structured Sparse Bayesian Learning with Application to Compressive Reconstruction for Chirp Signals
TL;DR: An adaptive cluster structured sparse Bayesian learning algorithm is proposed to alleviate the requirements on the prior knowledge by exploiting and incorporating the local structure of the sparse matrix into the reconstruction model and applies an adaptive mechanism in variable estimation to avoid the model mismatch problem.
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Array-Based Underwater Acoustic Target Classification with Spectrum Reconstruction Based on Joint Sparsity and Frequency Shift Invariant Feature
TL;DR: In this article , a target spectrum reconstruction method under a sparse Bayesian learning framework with joint sparsity priors was proposed to achieve high-resolution target separation in the angular domain and attain beamwidth constancy over a frequency range at no cost of reducing angular resolution.