Parameter Estimation From Quantized Observations in Multiplicative Noise Environments
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[1] A. Swami,et al. Quantization For Distributed Estimation in Large Scale Sensor Networks , 2005, 2005 3rd International Conference on Intelligent Sensing and Information Processing.
[2] Pramod K. Varshney,et al. Theory of the Stochastic Resonance Effect in Signal Detection—Part II: Variable Detectors , 2007, IEEE Transactions on Signal Processing.
[3] François Chapeau-Blondeau,et al. Suprathreshold stochastic resonance and noise-enhanced Fisher information in arrays of threshold devices. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[4] Krishna R. Pattipati,et al. IMM estimation for multitarget-multisensor air traffic surveillance , 1997 .
[5] Zhi-Quan Luo,et al. Universal decentralized estimation in a bandwidth constrained sensor network , 2005, IEEE Transactions on Information Theory.
[6] Iickho Song,et al. Locally optimum detection of signals in a generalized observation model: The known signal case , 1990, IEEE Trans. Inf. Theory.
[7] Sinan Gezici,et al. On the Performance of Single-Threshold Detectors for Binary Communications in the Presence of Gaussian Mixture Noise , 2010, IEEE Transactions on Communications.
[8] G. Casella,et al. Statistical Inference , 2003, Encyclopedia of Social Network Analysis and Mining.
[9] Jun Fang,et al. Hyperplane-Based Vector Quantization for Distributed Estimation in Wireless Sensor Networks , 2009, IEEE Transactions on Information Theory.
[10] Harry L. Van Trees,et al. Detection, Estimation, and Modulation Theory, Part I , 1968 .
[11] P.K. Varshney,et al. Target Location Estimation in Sensor Networks With Quantized Data , 2006, IEEE Transactions on Signal Processing.
[12] Gordon L. Stüber. Principles of mobile communication , 1996 .
[13] Xiaokang Lin,et al. Maximum Likelihood Estimation From Sign Measurements With Sensing Matrix Perturbation , 2013, IEEE Transactions on Signal Processing.
[14] Zhi-Quan Luo. An isotropic universal decentralized estimation scheme for a bandwidth constrained ad hoc sensor network , 2005, IEEE J. Sel. Areas Commun..
[15] Ananthram Swami,et al. Quantization for Maximin ARE in Distributed Estimation , 2007, IEEE Transactions on Signal Processing.
[16] Carlos Alberto de Bragança Pereira,et al. ON IDENTIFIABILITY OF PARAMETRIC STATISTICAL MODELS , 1994 .
[17] John P. Miller,et al. Broadband neural encoding in the cricket cereal sensory system enhanced by stochastic resonance , 1996, Nature.
[18] Nikos D. Sidiropoulos,et al. Sparse Conjoint Analysis Through Maximum Likelihood Estimation , 2013, IEEE Transactions on Signal Processing.
[19] G. Giannakis,et al. Kalman Filtering in Wireless Sensor Networks , 2010, IEEE Control Systems.
[20] Frank Moss,et al. Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance , 1993, Nature.
[21] William Bialek,et al. Information flow in sensory neurons , 1995 .
[22] Jun Fang,et al. Distributed Adaptive Quantization for Wireless Sensor Networks: From Delta Modulation to Maximum Likelihood , 2008, IEEE Transactions on Signal Processing.
[23] Petre Stoica,et al. Approximate maximum likelihood estimators for array processing in multiplicative noise environments , 2000, IEEE Trans. Signal Process..
[24] Onkar Dabeer,et al. Signal Parameter Estimation Using 1-Bit Dithered Quantization , 2006, IEEE Transactions on Information Theory.
[25] Y. Bar-Shalom,et al. IMM estimation for multitarget-multisensor air traffic surveillance , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.
[26] Alejandro Ribeiro,et al. Bandwidth-constrained distributed estimation for wireless sensor networks-part II: unknown probability density function , 2006, IEEE Transactions on Signal Processing.
[27] Iickho Song,et al. Locally optimum detection of signals in a generalized observation model: The random signal case , 1990, IEEE Trans. Inf. Theory.
[28] D. Luenberger. Optimization by Vector Space Methods , 1968 .
[29] Ami Wiesel,et al. Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds , 2008, IEEE Transactions on Signal Processing.
[30] M.L. Fowler,et al. Fisher-information-based data compression for estimation using two sensors , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[31] Ami Wiesel,et al. Maximum likelihood estimation in linear models with a Gaussian model matrix , 2006, IEEE Signal Processing Letters.
[32] E. Lehmann. Elements of large-sample theory , 1998 .
[33] Alejandro Ribeiro,et al. Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case , 2006, IEEE Transactions on Signal Processing.
[34] J.E. Mazo,et al. Digital communications , 1985, Proceedings of the IEEE.
[35] Zhi-Quan Luo,et al. Decentralized estimation in an inhomogeneous sensing environment , 2005, IEEE Transactions on Information Theory.
[36] Sukun Kim,et al. Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.
[37] S. Kay. Fundamentals of statistical signal processing: estimation theory , 1993 .
[38] Haralabos C. Papadopoulos,et al. Sequential signal encoding from noisy measurements using quantizers with dynamic bias control , 2001, IEEE Trans. Inf. Theory.
[39] Abebe Geletu,et al. Solving Optimization Problems using the Matlab Optimization Toolbox - a Tutorial , 2007 .
[40] Hugh F. Durrant-Whyte,et al. A Fully Decentralized Multi-Sensor System For Tracking and Surveillance , 1993, Int. J. Robotics Res..
[41] Thomas L. Marzetta,et al. Parameter estimation problems with singular information matrices , 2001, IEEE Trans. Signal Process..
[42] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[43] Steven Kay,et al. Fundamentals Of Statistical Signal Processing , 2001 .
[44] Sinan Gezici,et al. CRLB Based Optimal Noise Enhanced Parameter Estimation Using Quantized Observations , 2010, IEEE Signal Processing Letters.
[45] Pramod K. Varshney,et al. Theory of the Stochastic Resonance Effect in Signal Detection: Part I—Fixed Detectors , 2007, IEEE Transactions on Signal Processing.