NDLI: A signal modeling framework for integrated design of sensor networks

Please wait, while we are loading the content...

2014 IEEE Workshop on Statistical Signal Processing (SSP)

2012 IEEE Statistical Signal Processing Workshop (SSP)

2011 IEEE Statistical Signal Processing Workshop (SSP)

2009 IEEE/SP 15th Workshop on Statistical Signal Processing

2007 IEEE/SP 14th Workshop on Statistical Signal Processing

IEEE/SP 13th Workshop on Statistical Signal Processing, 2005

IEEE Workshop on Statistical Signal Processing, 2003

Proceedings of the 2003 IEEE Workshop on Statistical Signal Processing (IEEE Cat. No.03TH8705)

Some challenges in statistical signal processing some thoughts on those challenges and some challenges to those challenges

Nonparametric hypothesis testing for a spatial signal

'Distributed' signal processing: new opportunities and challenges

An indexed modeling and experimental strategy for biosignatures of pathogen and host

Bayesian computer-intensive methods for statistical signal processing

A signal modeling framework for integrated design of sensor networks

Self-localization of three-dimensional sensor networks

Application-optimized quantizers for time delay estimation in sensor networks

Critical power for connectivity with cooperative transmission in wireless ad hoc sensor networks

The art of sleeping in wireless sensing systems

Hierarchical censoring sensors for change detection

Sensor networks for discovery

Coding of Gauss-Markov sources with side information at the decoder

Distributed compression for large camera arrays

On joint classification and compression in a distributed source coding framework

Embedded-signal design for channel parameter estimation part I: linear embedding

Embedded-signal design for channel parameter estimation part II: quantization embedding

Extracting the channel allocation information in a spectrum pooling system using a prefilter delay and multiply nonlinearity

Characterization of wideband time-varying channels with multipath-scale diversity

Adaptive ML signal detection in non-Gaussian channels

Equalization through large-deviation bounds

A self-coherence based anti-jam GPS receiver

A training sequence based transmit diversity technique for frequency selective fading channels

A new error function for fast phase recovery of QAM signals in CMA blind equalizers

Frequency-domain estimation of multiple access ultra-wideband signals

ML-based frequency and frequency transition time estimation of frequency hopping signals

Superimposed training for doubly selective channels

Asymptotic efficiency of the BAD algorithm

Root-exchange property of constrained linear predictive models

Maximum likelihood estimation of Jakes' Doppler power spectrum parameters for SIMO channels using the Whittle approximation

Multidimensional estimation based on a tensor decomposition

Unsupervised signal restoration using Copulas and pairwise Markov chains

Theory and applications of orthogonal polynomials for Gaussian input

Recursive estimation of a locally stationary process

A unified approach to performance comparisons between linear and widely linear processing

Causal and stable FIR-IIR Wiener filters

Hidden Markov chain identification

On the accuracy of spectral density estimation

MD-harmonic retrieval: exploiting algebraic structure in parameter estimation and association

New results on almost-sure identifiability of 2D-harmonic retrieval

Multisite Internet data analysis

Optimal sampling strategies for multiscale models with application to network traffic estimation

Multiple source network tomography: a hypothesis-testing approach

Pseudo likelihood estimation and iterative proportional refitting in network tomography

Multi-scale "spatial" analysis of computer network traffic data

Outstanding statistical problems in tele-traffic

Improved MR metabolite image reconstruction

Image segmentation using factor graphs

Stochastic models in image analysis: parameter estimations and case studies in image segmentation

On capturing likelihood disparity for unsupervised image segmentation

Joint estimation of image and deformation parameters in tomographic image reconstruction

Levelset based segmentation using data driven shape prior on feature histograms

Adaptive nonlinear multigrid inversion with applications to Bayesian optical diffusion tomography

Image and signal restoration using pairwise Markov trees

Texture classification using improved 2D local discriminant basis

A multiphase level set method for tomographic reconstruction of dynamic objects

Image restoration with kernel component estimation in singular observation process

Analysis of multicomponent LMF signals using time-frequency and the gray-scale inverse Hough transform

Non-linear filtering approach to an adjustment of non-uniform sampling locations in spatial datasets

Frequency estimation derived from a dynamical system analysis

Blind identification of Volterra-Hammerstein systems

A weighted principal component regression approach for system identification

Active non-linear noise control with non-linearities in the secondary path

An improved approximate QR-LS based second-order Volterra filter

On non-parametric identification of multi-channel non-linear systems by multiscale expansions

Echo-cancellation in a rapidly time varying environment

Transform-based image compression by noise reduction and spatial modification using Boolean minimization

Performance loss of dirty-paper codes in additive white Gaussian noise and jitter channels

Canonical coordinates are the right coordinate system for transform coding of noisy sources

Reduced rank predictive source coding

FMR watermarking: a new multi-resolution semi-fragile method for authentication applications

Time-frequency modelling as a mixture of X/sup 2/ distributions

Optimal time-frequency kernels for spectral estimation of locally stationary processes

Polarimetric time-frequency music in coherent signal environment

Hierarchical Markov models for wavelet-domain statistics

Directional multiscale modeling of images using the contourlet transform

Orthogonal projection pursuit using genetic optimization

On the use of EM and high resolution atomic decomposition to estimate a linear mixture of chirplets

Subspace based MEG source detection

Maximum likelihood estimation of low rank signals for multiepoch MEG/EEG data

Investigations of dipole localization accuracy in MEG using the bootstrap

Effect of perturbations in the geometry on the electroencephalography inverse problem

Quantification of the relationship between magnetoencephalographic (MEG) and blood oxygenation dependent (BOLD) images of brain function

Equivalence of linear approaches in bioelectromagnetic inverse solutions

Reconstruction of planar scenes from multiple views using affine and projective shape manifolds

A geometric approach to shape clustering and learning

Initial value diffeomorphic landmark matching and its application shape statistics

Affine-permutation symmetry: invariance and shape space

Axial representations of 3D shapes

Efficient algorithms for inferences on Grassmann manifolds

Decorrelating receivers of differential space-time coded CDMA systems

Bayesian blind PARAFAC receivers for DS-CDMA systems

A frequency domain based approach for low complexity RAKE receivers in CDMA systems

Linear MMSE receiver using hidden training sequence in multipath channel for the W-CDMA system

Multipath diversity and channel estimation using time-varying chirps in CDMA systems with unknown CSI

Steganalysis of block-DCT image steganography

Blind adaptive multiuser detection for uplink long-code CDMA systems

Channel estimation and tracking in spatially correlated MIMO OFDM systems

Blind channel estimation for OFDM systems based on non-redundant linear recording

Iterative receivers for OFDM coded broadband MIMO fading channels

Progressive image transmission over space-time coded OFDM systems with adaptive modulation

Blind channel estimation in MIMO OFDM systems

Scaling laws and operation of wireless ad-hoc and sensor networks

The embedded triangles algorithm for distributed estimation in sensor networks

Parallel wireless mobile relays with space-time modulations

An information processing approach to distributed detection

A statistics-guided progressive RAST algorithm for peak template matching in GCxGC

Energy-based source localization via ad-hoc acoustic sensor network

A stochastic power control algorithm for wireless networks

Distributed source number estimation for multiple target detection in sensor networks

Nested quantization and Slepian-Wolf coding: a Wyner-Ziv coding paradigm for i.i.d. sources

Translating images by unsupervised estimation of switching filters

Stochastic grammars for images on arbitrary graphs

Bayesian learning for models of human speech perception

Manifold learning using geodesic entropic graphs

Fast adaptive Bayesian beamforming using the FFT

A multiresolution approach to pattern recognition

Cryo electron microscopy of mixed ensembles: simultaneous pattern recognition and 3-D reconstruction

Bayesian blind MIMO deconvolution of nonstationary autoregressive sources mixed through all-pole channels

Eigenstructure based blind channel order determination and kernel estimation for MIMO systems

Channel identification and tracking using alternating projections

Minimum FIR deconvolver orders for MIMO systems in one or several variables

Blind separation and deconvolution of MIMO-FIR system with colored sound inputs using SIMO-model-based ICA

Channel estimation for precoded MIMO systems

A correlated signals MLE approach to joint source detection and direction of arrival estimation

Sonar bottom mapping using fourth-order cumulants

Avoiding local minima in entropy-based SAR autofocus

Source localization with partially calibrated distributed electromagnetic component sensor array

Influence functions for array covariance matrix estimators

Adaptive detection of targets on the sea surface based upon range-compressed SAR data

Localization of nonstationary sources using a coherence test

Localization of buried objects through higher order statistics techniques

Robust linear estimation with covariance uncertainties

Reducing bias in supervised learning

Clustering of spatiotemporal signals: application to the analysis of FMRI data

Strong-sense class-dependent features for statistical recognition

A bootstrap model selection criterion based on Kullback's symmetric divergence

Global sampling for sequential filtering over discrete state space

Extended object tracking with unknown association, missing observations, and clutter using particle filters

Reversible jump Markov chain Monte Carlo for brain activation detection

A Bayesian approach to tracking wideband targets using sensor arrays and particle filters

MCMC-based peak template matching for GCxGC

Stochastic simulation and parameter estimation of enzyme reaction models

Particle filtering for systems with unknown noise probability distributions

Particle filter for underwater terrain navigation

Bayesian inference of network loss characteristics with applications to TCP performance prediction

Audio signal enhancement using a block-sequential Gabor regression scheme

A combined particle/Kalman filter for improved tracking of beam aspect targets

Minimization of sensor usage for target tracking in a network of irregularly spaced sensors

Application of Monte Carlo mixture Kalman filter to GPS data analysis for space-time inversion

Sequential Monte Carlo methods for filtering and smoothing in hidden Markov models

Radial basis function regression using trans-dimensional sequential Monte Carlo

Scheduling multiple sensors using particle filters in target tracking

Particle filters for partially observed Markov Chains

Barankin lower bound for change-points in independent sequences

A test for "long-memory" processes

Renyi entropy based divergence measures for ICA

New multivariate dependence measures and applications to neural ensembles

Source localization by enforcing sparsity through a Laplacian prior: an SVD-based approach

Information divergence measures-for detection of borders between coding and noncoding DNA regions using recursive entropic segmentation

A blind-ML scheme for blind source separation

Sequential detection with limited memory

Subspace based vowel-consonant segmentation

Noisy speech recognition with microphone array steering and Fourier/wavelet spectral subtraction

Talker localization based on the combination of DOA estimation and statistical sound source identification with microphone array

Particle filtering approach to Bayesian formant tracking

The formant structure based feature parameter for speech recognition

Speech enhancement with noise parameter estimated by a sequential Monte Carlo method

Joint detection of variance changes using hierarchical Bayesian analysis

Microwave-based detection of breast cancer using the generalized likelihood ratio test

Stable adaptive nonstationary signal detection based on the robuston scheme

Robust detection under Bhattacharyya metric

UMP invariance in adaptive detection: kernels that preserve monotone likelihood ratio

Detection of an electron spin in a MRFM cantilever experiment

Audio noise detection using hidden Markov model

Active-testing surveillance for multiple target detection with composite hypotheses

Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563)

A signal modeling framework for integrated design of sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Sayeed, A.M.
Copyright Year	2003
Description	Author affiliation: Wisconsin Univ., Madison, WI, USA (Sayeed, A.M.)
Abstract	Summary form only given. Information processing, communication and routing are intimately coupled in sensor networks and the sensor signal characteristics in space and time directly impact these vital network functions. In this paper, we propose a signal modeling framework for sensor measurements that exposes the interaction between space-time signal sampling, distributed signal processing, and communication and routing of information through the network. We assume that the signal in a region of interest is a bandlimited stationary Gaussian field in spatial and temporal dimensions. The proposed model is based on the notion of spatial coherence regions that are dictated by Nyquist sampling in the spatial dimensions: the signals remain strongly correlated within each coherence region and vary approximately independently between different coherence regions. This simple approximate model has several implications for the design of sensor networks. First, it imposes a structure on distributed signal processing algorithms that is naturally suited to the communication constraints: high-bandwidth (feature-level) information exchange is limited to spatially local nodes within each coherence region, whereas low-bandwidth (decision-level) information exchange is sufficient between farther nodes in different coherence regions. Second, it enables simple bounds on the rate at which information is generated by any sub-region in the network. Third, it suggests natural communication strategies for transporting information from the coherence regions to a destination node or region and enables estimates of the corresponding link capacities.
Sponsorship	IEEE Signal Processing Soc
File Size	32993
File Format	PDF
ISBN	0780379977
DOI	10.1109/SSP.2003.1289324
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal design Sensor phenomena and characterization Signal processing Routing Signal sampling Information processing Transfer functions Spatial coherence Signal processing algorithms
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in