A Method of Masking Based on Multiplicative Noise
نویسندگان
چکیده
منابع مشابه
Statistical Properties of Multiplicative Noise Masking for Confidentiality Protection
Most statistical agencies are concerned with the dual challenge of releasing quality data and reducing, if not totally eliminating, the risk of divulging private information. Various data masking procedures such as data swapping, cell suppression, use of synthetic data and random noise perturbations have been recommended and used in practice to meet these two objectives. This paper investigates...
متن کاملA Novel Noise Reduction Method Based on Subspace Division
This article presents a new subspace-based technique for reducing the noise of signals in time-series. In the proposed approach, the signal is initially represented as a data matrix. Then using Singular Value Decomposition (SVD), noisy data matrix is divided into signal subspace and noise subspace. In this subspace division, each derivative of the singular values with respect to rank order is u...
متن کاملMultiplicative noise for masking numerical microdata with constraints
Before releasing databases which contain sensitive information about individuals, statistical agencies have to apply Statistical Disclosure Limitation (SDL) methods to such data. The goal of these methods is to minimize the risk of disclosure of the confidential information and at the same time provide legitimate data users with accurate information about the population of interest. SDL methods...
متن کاملA Novel Noise Reduction Method Based on Subspace Division
This article presents a new subspace-based technique for reducing the noise of signals in time-series. In the proposed approach, the signal is initially represented as a data matrix. Then using Singular Value Decomposition (SVD), noisy data matrix is divided into signal subspace and noise subspace. In this subspace division, each derivative of the singular values with respect to rank order is u...
متن کاملThe Convex Relaxation Method on Deconvolution Model with Multiplicative Noise
In this paper, we consider variational approaches to handle the multiplicative noise removal and deblurring problem. Based on rather reasonable physical blurring-noisy assumptions, we derive a new variational model for this issue. After the study of the basic properties, we propose to approximate it by a convex relaxation model which is a balance between the previous non-convex model and a conv...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Korean Journal of Applied Statistics
سال: 2009
ISSN: 1225-066X
DOI: 10.5351/kjas.2009.22.1.141