Publications related to On the selection of optimal nonlinearities for stochastic gradient adaptive algorithms

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

Idiap2015

Expected Loss Analysis for Authentication in Constrained Channels

Serge Vaudenay, Christos Dimitrakakis, Aikaterini Mitrokotsa

We derive bounds on the expected loss for authentication protocols in channels which are constrained due to noisy conditions and communication costs. This is motivated by a number of authentication protocols, where at least some part of the authentication ...

IOS Press2015

Robust distributed detection over adaptive diffusion networks

Ali H. Sayed, Ali Zoubir

Diffusion adaptation techniques based on the least-mean-squares criterion have been proposed for distributed detection of a signal in Gaussian-distributed noise, forgoing the need for a fusion center. However, least-mean-squares solutions are generally non ...

IEEE2014

Analysis of linearization error for goal-oriented adaptivity of nonlinear problems

Luca Dede'

We propose in this talk to address the issue and effect of linearization in the quality of the error estimates in quantities of interest for strongly nonlinear problems. It is well known that the error representation in this case can be decomposed into two ...

International Center for Numerical Methods in Engineering (CIMNE)2013

Simulation based Synthesis of Population

Michel Bierlaire, Gunnar Flötteröd, Bilal Farooq, Ricardo Daniel Hurtubia González

Microsimulation of urban systems evolution requires synthetic population as a key input. Currently, the focus is on treating synthesis as a fitting problem and thus various techniques have been developed, including Iterative Proportional Fitting (IPF) and ...

2013

Simulations of driven overdamped frictionless hard spheres

Matthieu Wyart

Microsimulation of urban systems evolution requires synthetic population as a key input. Currently, the focus is on treating synthesis as a fitting problem and thus various techniques have been developed, including Iterative Proportional Fitting (IPF) and ...

Elsevier2013

An application of Evolutionary Optimization Algorithms for Determining Concentration and Velocity Profiles in Sheet flows and Overlying Layers

David Andrew Barry, Roham Bakhtyar

The Particle Swarm Optimization (PSO) method and the Genetic Algorithm (GA) were used to derive formulas for determining the velocity and concentration profiles in sheet flows. Specifically, these evolutionary optimization algorithms were used in conjuncti ...

Asme-Amer Soc Mechanical Eng2012

On-Chip Digital Background Calibration of Pipelined Analog-to-Digital Converters using Digital Assistance to support Nonlinear Residue Amplification

Thomas Liechti

This thesis describes a novel digital background calibration scheme for pipelined ADCs with nonlinear interstage gain. Errors caused by the nonlinear gains are corrected in real-time by adaptively post-processing the digital stage outputs. The goal of this ...

EPFL2012

Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

Ali H. Sayed

We study the problem of distributed least-squares estimation over ad hoc adaptive networks, where the nodes have a common objective to estimate and track a parameter vector. We consider the case where there is stationary additive colored noise on both 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

On the selection of optimal nonlinearities for stochastic gradient adaptive algorithms

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A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Expected Loss Analysis for Authentication in Constrained Channels

Robust distributed detection over adaptive diffusion networks

Analysis of linearization error for goal-oriented adaptivity of nonlinear problems

Simulation based Synthesis of Population

Simulations of driven overdamped frictionless hard spheres

An application of Evolutionary Optimization Algorithms for Determining Concentration and Velocity Profiles in Sheet flows and Overlying Layers

On-Chip Digital Background Calibration of Pipelined Analog-to-Digital Converters using Digital Assistance to support Nonlinear Residue Amplification

Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

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

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Expected Loss Analysis for Authentication in Constrained Channels

Robust distributed detection over adaptive diffusion networks

An application of Evolutionary Optimization Algorithms for Determining Concentration and Velocity Profiles in Sheet flows and Overlying Layers

Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

Simulation based Synthesis of Population

On-Chip Digital Background Calibration of Pipelined Analog-to-Digital Converters using Digital Assistance to support Nonlinear Residue Amplification

Analysis of linearization error for goal-oriented adaptivity of nonlinear problems

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

Simulations of driven overdamped frictionless hard spheres