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Performance of diffusion adaptation for collaborative optimization

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Distributed optimization via diffusion adaptation

Ali H. Sayed

We develop an iterative diffusion mechanism to optimize a global cost function in a distributed manner over a network of nodes. The cost function is assumed to consist of a collection of individual components, and diffusion strategy allows the nodes to coo ...

IEEE2011

Transient Analysis of Adaptive Affine Combinations

Ali H. Sayed

In this correspondence, we provide a transient analysis of an affinely constrained mixture method that adaptively combines the outputs of adaptive filters running in parallel on the same task. The affinely constrained mixture is adapted using a stochastic ...

IEEE2011

On multivariate calibration with unlabeled data

Dominique Bonvin, Michael Amrhein, Pamandeep Singh Gujral

In principal component regression (PCR) and partial least-squares regression (PLSR), the use of unlabeled data, in addition to labeled data, helps stabilize the latent subspaces in the calibration step, typically leading to a lower prediction error. A non- ...

Wiley-Blackwell2011

Performance limits of LMS-based adaptive networks

Ali H. Sayed

In this work we analyze the mean-square performance of different strategies for adaptation over two-node least-mean-squares (LMS) networks. The results highlight some interesting properties for adaptive networks in comparison to centralized solutions. The ...

IEEE2011

Distributed Estimation Over an Adaptive Incremental Network Based on the Affine Projection Algorithm

Ali H. Sayed

We study the problem of distributed estimation based on the affine projection algorithm (APA), which is developed from Newton's method for minimizing a cost function. The proposed solution is formulated to ameliorate the limited convergence properties of l ...

IEEE2010

Randomized incremental protocols over adaptive networks

Ali H. Sayed

We introduce an incremental cooperation mode into the framework of adaptive networks (AN). The method applies to generic topologies and avoids the need to establish a Hamiltonian cycle over the network, generalizing the original incremental mode, while kee ...

IEEE2010

Recursive Implementation of the Distributed Karhunen-Loeve Transform

Michael Christoph Gastpar

In the distributed linear source coding problem, a set of distributed sensors observe subsets of a data vector with noise, and provide the fusion center linearly encoded data. The goal is to determine the encoding matrix of each sensor such that the fusion ...

2010

Power Allocation for Beamforming Relay Networks under Channel Uncertainties

Ali H. Sayed

Under uncertain channel conditions, local and global power control factors for amplify-and-forward relay processing and source-destination beamforming are jointly and iteratively designed based on a minimum mean-square-error (MMSE) criterion. The influence ...

IEEE2009

Design of half- and full-duplex relay systems based on the MMSE formulation

Ali H. Sayed

In this paper, half- and full-duplex relay processing matrices and source-destination beamforming vectors are jointly optimized based on a minimum mean-square-error (MMSE) formulation under inequality constraints on the transmit power of the source and the ...

IEEE2009

Multiuser two-way relaying method for beamforming systems

Ali H. Sayed

Relay transceiver processing for multiuser two-way communications is optimized based on zero-forcing (ZF) and minimum mean-square-error (MMSE) formulations under relay power constraints. Cochannel interference (CCI) frommultiusers and self-interference (SI ...

IEEE2009