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Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices.

, , , and . ICASSP, page 4029-4033. IEEE, (2016)

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A distributed classification/estimation algorithm for sensor networks, , and . CoRR, (2012)Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices., , , and . ICASSP, page 4029-4033. IEEE, (2016)Block-sparsity-based localization in wireless sensor networks., , , , , , and . EURASIP J. Wireless Comm. and Networking, (2015)Sparse learning with concave regularization: relaxation of the irrepresentable condition., , , and . CDC, page 396-401. IEEE, (2020)Distributed Recovery of Jointly Sparse Signals Under Communication Constraints., , , and . IEEE Trans. Signal Process., 64 (13): 3470-3482 (2016)Distributed ADMM for In-Network Reconstruction of Sparse Signals With Innovations., , , and . IEEE Trans. Signal Inf. Process. over Networks, 1 (4): 225-234 (2015)Dictionary design for sensor network localization via block-sparsity., , , , , , and . MMSP, page 1-6. IEEE, (2015)Distributed ADMM for in-network reconstruction of sparse signals with innovations., , , and . GlobalSIP, page 429-433. IEEE, (2014)Centralized and distributed online learning for sparse time-varying optimization.. CoRR, (2020)A linear programming approach to sparse linear regression with quantized data., , and . ACC, page 2990-2995. IEEE, (2019)