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2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

Welcome from the general chairs

Welcome from the program co-chairs

Organizing committee

Technical program

Network formation games for wireless multi-hop networks in the presence of eavesdroppers

Pareto-optimal beamforming for the MISO interference channel with partial CSI

Alternative bargaining solutions for the interference channel

On proportional power sharing mechanisms for secondary spectrum markets

K-player Bayesian waterfilling game for fading multiple access channels

Pricing, competition, and routing in multi-hop networks

A theoretical framework for problems requiring robust behavior

Measuring the robustness of sequential methods

Outlier elimination for robust ellipse and ellipsoid fitting

Accuracy of source localization based on squared-range least squares (SR-LS) criterion

Robust semiparametric amplitude estimation of sinusoidal signals: The multi-sensor case

Robust short-term load forecasting using projection statistics

Self-organization in bird flight formations using diffusion adaptation

Directed gossiping for distributed data aggregation

Gossip and consensus in mobile networks

Selective Gossip

Distributed sensor localization using barycentric coordinates

Quadratic Gaussian gossiping

Methods for factorization and approximation of Tensors by partial Fiber Sampling

Analytical performance evaluation for HOSVD-based parameter estimation schemes

Single Snapshot R-D Unitary Tensor-ESPRIT Using an Augmentation of the Tensor Order

Higher-Order PCA for anomaly detection in large-scale networks

A link between the decomposition of a third-order tensor in rank-(L,L,1) terms and Joint Block Diagonalization

A PARAFAC decomposition based algorithm for blind MIMO source separation

Cooperative relaying with side information

A semi-closed-form solution to optimal decentralized beamforming for two-way relay networks

Joint subcarrier power loading and distributed beamforming in OFDM-based asynchronous relay networks

On communication protocol and beamforming design for amplify-and-forward N-way relay networks

Segmented compressed sampling for analog-to-information conversion

Exploiting covariance-domain sparsity for dimensionality reduction

Multi-channel reconstruction from a randomly sampled array

Collaborative sparse signal recovery in hierarchical wireless sensor networks

Sparsity-aware estimation of nonlinear Volterra kernels

Adaptive wireless networking primitives for distributed scheduling: Can radios swarm?

Stochastic soft backpressure algorithms for routing and scheduling in wireless ad-hoc networks

A cognitive multi-antenna transceiver with a multimodal-pilot-use modem for increased wireless network throughput, coverage and power efficiency

On low complexity cooperative spectrum sensing for cognitive networks

Co-located MIMO radar with orthogonal waveform coding : Cramér-Rao Lower Bound

An analysis of phase synchronization mismatch sensitivity for coherent MIMO radar systems

Cramér-Rao bounds for bistatic radars

Statistical design of a 3D microarray with position-encoded microspheres

MIMO radar waveform design: a divergence-based approach for sequential and fixed-sample size tests

Alternating projection for MIMO radar waveform design

OFDM MIMO radar design for low-angle tracking using mutual information

Golay complementary waveforms for sparse delay-Doppler radar imaging

Direction finding for MIMO radar with colocated antennas using transmit beamspace preprocessing

MIMO radar: From a different perspective

On the role of sparsity in Compressed Sensing and random matrix theory

An adaptive and information theoretic method For compressed sampling

Universal priors for sparse modeling

Multipath medium identification using efficient sampling schemes

Distributed spatio-temporal sampling of diffusion fields from sparse instantaneous sources

A sublinear algorithm for sparse reconstruction with ℓ2/ℓ2 recovery guarantees

Fast algorithms for recovering a corrupted low-rank matrix

Fisher information analysis in microwave tomography

Passive imaging using cross correlations of ambient noise signals

Passive imaging and detection in cluttered media

Underground imaging of irregular terrains using RF Tomography

Multi-static synthetic aperture radar image formation

Nonparametric learning of dictionaries for sparse representation of sensor signals

Feature-aided localization and tracking of ground vehicles using passive acoustic sensor networks

Fast sequential source localization using the Projected Companion Matrix approach

Fast and versatile blind separation of diverse sounds using closed-form estimation of probability density functions of sources

BSS for improved interference estimation for Blind speech signal Extraction with two microphones

Explicit Ziv-Zakai bound for DOA estimation with sparse linear arrays

Orientation-aware indoor localization using affinity propagation and compressive sensing

Improving distributed space-time coding through combining at the multiple-antenna relay

On the capacity of bidirectional relaying with unknown varying channels

Relay selection for grouped-relay networks using the average SLNR measure

Cooperative amplify-and-forward beamforming with multi-antenna source and relays

Near-far robustness and optimal power allocation for two-way relaying with MIMO amplify and forward relays

Can maximum-likelihood “threshold performance” be improved by random matrix theory tools?

The marginalized auxiliary particle filter

Basis pursuit with sequential measurements and time varying signals

Fast nonnegative tensor factorization for very large-scale problems using two-stage procedure

Classification of microwave scattering data based on a subspace distance with application to detection of bleeding stroke

Joint diagonalization: Is non-orthogonal always preferable to orthogonal?

Extension of joint diagonalization for moving targets

On hybrid exact-approximate joint diagonalization

Block decomposition for very large-scale nonnegative tensor factorization

An optimal step size relative gradient based joint diagonalization algorithm

A bias-variance dilemma in Joint Diagonalization and Blind Source Separation

Power allocation in decode-and-forward cooperative networks via SEP minimization

Distributed space-time code designs via Cayley transform

Wireless network discovery via RSS-based estimation of multi-transmitter RF footprint

Distributed Projection Approximation Subspace Tracking based on consensus propagation

Optimal network size and encoding rate for random field estimation withwireless sensor networks

Randomized transmission power for accelerated consensus in asymmetric WSNs

A transceive strategy for regenerative multi-antenna multi-way relaying

Particle filters with approximation steps

On MCMC-Based particle methods for Bayesian filtering: Application to multitarget tracking

A Monte Carlo based energy efficient source localization method for wireless sensor networks

Hybrid probabilistic data association and variational filtering for multi-target tracking in wireless sensor networks

Subspace-based Bayesian blind source separation for hyperspectral imagery

Fragment-based variational visual tracking

Downlink resource allocation for multi-user MIMO-OFDMA systems: The Kalai-Smorodinsky bargaining approach

MSE uplink-downlink duality of MIMO systems under imperfect CSI

Comparison of precoding methods for broadband MIMO systems

Spectrum sensing for cognitive radios using Kriged Kalman filtering

Energy-efficient distributed spectrum sensing with convex optimization

Time delay estimation in cognitive radio systems

Joint optimization of detection thresholds and power allocation for opportunistic access in multicarrier cognitive radio networks

Optimal scheduling and QoS power control for cognitive underlay networks

2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.

Adaptive wireless networking primitives for distributed scheduling: Can radios swarm?

Content Provider	IEEE Xplore Digital Library
Author	Pagliari, R. Scaglione, A. Hong, Y.-W.P.
Copyright Year	2009
Description	Author affiliation: UC Davis, USA (Scaglione, A.) \|\| National Tsing Hua University, Taiwan (Hong, Y.-W.P.) \|\| Cornell University, USA (Pagliari, R.)
Abstract	Motivated by the beauty and the simplicity of biologically inspired algorithm, we study a class of self-organizing protocols based on the Pulse-Coupled Oscillators (PCO). Specifically, we consider two different dynamics of this protocol and show how by flipping the sign of the coupling among the nodes translates into two different emerging pattern: synchrony and de-synchrony. The former is a state where all the nodes pulse at unison. The latter is a situation where the nodes alternate their firings, so that the time between two consecutive firings is constant.
Starting Page	133
Ending Page	136
File Size	5362225
Page Count	4
File Format	PDF
ISBN	9781424451791
DOI	10.1109/CAMSAP.2009.5413320
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-13
Publisher Place	Aruba
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive systems Processor scheduling Conferences Access protocols Biology computing Computer networks Synchronization Distributed computing Oscillators Clocks
Content Type	Text
Resource Type	Article

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