搜索结果: 1-8 共查到“Noisy Data”相关记录8条 . 查询时间(0.046 秒)
Linear models based on noisy data and the Frisch scheme
linear models factor analysis identification
2015/8/7
We address the problem of identifying linear relations among variables based on noisy measurements. This is a central question in the search for structure in large data sets. Often a key assumption is...
Linear Models Based on Noisy Data and the Frisch Scheme
linear models factor analysis identifi cation
2015/7/8
We address the problem of identifying linear relations among variables based on noisy measurements. This is a central question in the search for structure in large data sets. Often a key assumption is...
Super-Resolution from Noisy Data
Deconvolution stable signal recovery sparsity line spectra estimation basis mismatch superresolution factor
2015/6/17
This paper studies the recovery of a superposition of point sources from noisy bandlimited data. In the fewest possible words, we only have information about the spectrum of an object in the lowfreque...
Reconstructing signals from noisy data with unknown signal and noise covariance
statistics, information theory, statistical mechanics
2011/10/8
We derive a method to reconstruct Gaussian signals from linear measurements with Gaussian noise. This new algorithm is intended for applications in astrophysics and other sciences. The starting point ...
Reconstructing signals from noisy data with unknown signal and noise covariance
statistics information theory statistical mechanics
2011/8/17
Abstract: We derive a method to reconstruct Gaussian signals from linear measurements with Gaussian noise. This new algorithm is intended for applications in astrophysics and other sciences. The start...
Nonparametric goodness-of-fit testing in quantum homodyne tomography with noisy data
Density matrix Goodness-of fit test Minimax rates Nonparametric test Pattern Functions estimation Quantum homodyne tomography
2009/9/16
In the framework of quantum optics, we study the problem of goodness-of-fit testing in a severely ill-posed inverse problem. A novel testing procedure is introduced and its rates of convergence are in...
Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data
Strong Keys Biometrics Noisy Data
2009/4/10
We provide formal definitions and efficient secure techniques for
• turning noisy information into keys usable for any cryptographic application, and, in particular,
• reliably and secur...
Nonparametric goodness-of fit testing in quantum homodyne tomography with noisy data
Density matrix Goodness-of fit test Minimaxrates Nonparametric test Pattern Functions estimation Quantum homodynetomography
2010/4/30
In the framework of quantum optics, we study the problem of
goodness-of-fit testing in a severely ill-posed inverse problem. A novel testing
procedure is introduced and its rates of convergence are ...
