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A linear programming approach to sparse linear regression with quantized data.

, , and . ACC, page 2990-2995. IEEE, (2019)

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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)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 . CoRR, (2016)Distributed ADMM for in-network reconstruction of sparse signals with innovations., , , and . GlobalSIP, page 429-433. IEEE, (2014)Dictionary design for sensor network localization via block-sparsity., , , , , , and . MMSP, page 1-6. IEEE, (2015)A linear programming approach to sparse linear regression with quantized data., , and . ACC, page 2990-2995. IEEE, (2019)Input driven consensus algorithm for distributed estimation and classification in sensor networks., , and . CDC/ECC, page 6654-6659. IEEE, (2011)Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints., , and . IEEE Trans. Signal Process., 64 (6): 1420-1434 (2016)A decoding approach to fault tolerant control of linear systems with quantised disturbance input.. Int. J. Control, 84 (11): 1779-1795 (2011)