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In this work, we present a new distributed algorithm for a non-convex and nonsmooth dictionary learning problem. The proposed algorithm, named proximal primal-dual algorithm with increasing penalty (Prox-PDA-IP), is a primal-dual scheme, where the primal step minimizes certain approximation of the augmented Lagrangian of the problem, and the dual step performs an approximate dual ascent. We provide...
In this paper, we investigate the carrier frequency offsets (CFOs) effect on uplink universal filtered multi-carrier-interleave division multiple access (UFMC-IDMA), which has improved robustness against inter-carrier interference (ICI) compared with orthogonal frequency division multiplexing-IDMA (OFDM- IDMA). In particular, a multiuser detection algorithm for uplink UFMC-IDMA which is robust against...
The computational method of unconstrained optimization problem is an important research topic in the field of numerical computation. It is of great significance to solve the problem of unconstrained optimization. There are many ways that are applied to settle these questions, so we need to choose a method which owns much faster and less complex trait. Furthermore, in order to solve this rubs, this...
An off-line min-max MPC strategy is proposed for constrained nonlinear systems, whose trajectories can be embedded within those of a bank of linear parameter varying models via an embedding scheme. The off-line min-max MPC algorithm is used to determine the control law for each LPV embedding model corresponding to invariant ellipsoidal sets constructed off-line. The control law which will be implemented...
Distributed coding is a new paradigm for compressing correlated distributed sources, based on Slepian-Wolf and Wyner-Ziv theorem. This scheme is appropriate for wireless sensor network and distributed video coding. In this paper, we address the problem of coding two Gaussian correlated non-binary sources with one of which is only available at the decoder using the non-binary low-density parity-check...
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