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Additive white Gaussian noise
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71	Distinguishing cause from effect using observational data: methods and benchmarks Distinguishing cause from effect using observational data: methods and benchmarks Joris M. Mooij∗ Add to Reading List Source URL: arxiv-web3.library.cornell.edu Language: English - Date: 2014-12-11 20:24:33 Actuarial science Causality Expected value Variance Additive white Gaussian noise Joint probability distribution Linear regression Instrumental variable Statistics Regression analysis Econometrics
72	Distinguishing cause from effect using observational data: methods and benchmarks Distinguishing cause from effect using observational data: methods and benchmarks Joris M. Mooij∗ Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-12-11 20:24:33 Actuarial science Causality Expected value Variance Additive white Gaussian noise Joint probability distribution Linear regression Instrumental variable Statistics Regression analysis Econometrics
73	Stochastic Differential Dynamic Programming Evangelos Theodorou, Yuval Tassa & Emo Todorov Abstract— Although there has been a significant amount of work in the area of stochastic optimal control theory towards the dev Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2010-07-12 20:52:39 Stochastic processes Differential equations Kalman filter Robot control Differential of a function Optimal control ΔT Additive white Gaussian noise Stochastic differential equation Statistics Calculus Mathematical analysis
74	4 Information in Physical Systems What is information? A good answer is that information is what you don’t already know. You do not learn much from being told that the sun will rise tomorrow morning; you learn a great Add to Reading List Source URL: academy.cba.mit.edu Language: English - Date: 2013-02-25 23:29:12 Information Kullback–Leibler divergence Additive white Gaussian noise Entropy Differential entropy Mutual information Channel capacity Normal distribution Principle of maximum entropy Statistics Information theory Probability and statistics
75	PDE-BASED DENOISING OF COMPLEX SCENES USING A SPATIALLY-VARYING FIDELITY TERM Guy Gilboa, Yehoshua Y. Zeevi Nir Sochen Add to Reading List Source URL: www.math.tau.ac.il Language: English - Date: 2004-12-26 05:47:44 Total variation denoising Electronic engineering Image denoising Noise reduction Additive white Gaussian noise Scale space Image processing Statistics Signal processing
76	ADAPTIVE TRAINING WITH JOINT UNCERTAINTY DECODING FOR ROBUST RECOGNITION OF NOISY DATA H. Liao and M. J. F. Gales Cambridge University Engineering Department Trumpington St., Cambridge, CB2 1PZ, UK {hl251,mjfg}@eng.cam.a Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-08-15 11:55:33 Estimation theory Signal processing Statistical inference Speech recognition Additive white Gaussian noise Structure Mathematics Noise Computational linguistics Statistics
77	Near-Capacity BICM-ID-SSD, Good for Future DTTB Systems Jian Song Feb 15, 2011 Tsinghua University DTV Technology R&D Center Add to Reading List Source URL: www.atsc.org Language: English - Date: 2011-10-20 09:33:34 Electronic engineering Communication Data transmission Digital television Channel capacity High-definition television Additive white Gaussian noise Quadrature amplitude modulation Channel Telecommunications engineering Information theory Information
78	1952 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 53, NO. 11, NOVEMBER 2005 Timing Ultra-Wideband Signals With Dirty Templates Liuqing Yang, Member, IEEE, and Georgios B. Giannakis, Fellow, IEEE Add to Reading List Source URL: www.engr.colostate.edu Language: English - Date: 2011-04-15 19:43:37 Statistical inference Multiplexing Signal processing Ultra-wideband Mean squared error Estimator Noise Code division multiple access Additive white Gaussian noise Statistics Estimation theory Data transmission
79	To appear in the IEEE Int. Symp. on Information Tehory, June-July 2009, Seoul, Korea. On Networks with Side Information Asaf Cohen, Salman Avestimehr and Michelle Effros Department of Electrical Engineering California I Add to Reading List Source URL: leecenter.caltech.edu Language: English - Date: 2009-05-06 18:02:04 Information Telecommunications engineering Network coding Network performance Mathematics Mutual information Additive white Gaussian noise Information theory Coding theory Wireless sensor network
80	How Well Can We Know A MIMO Channel? 1 Introduction Wireless channels are notorious for their spatiotemporal variation – so much so, that the usual recourse is to assume stochastic models [1–3] and devise signaling m Add to Reading List Source URL: www.winlab.rutgers.edu Language: English - Date: 2006-05-27 22:49:22 Information Technology MIMO Channel state information Channel capacity Rayleigh fading Additive white Gaussian noise Fading Channel Information theory Radio resource management Telecommunications engineering

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