Big Data Blind Separation
نویسندگان
چکیده
منابع مشابه
Big Data Blind Separation
Data or signal separation is one of the critical areas of data analysis. In this work, the problem of non-negative data separation is considered. The problem can be briefly described as follows: given X ∈ Rm×N , find A ∈ Rm×n and S ∈ Rn×N + such that X = AS. Specifically, the problem with sparse locally dominant sources is addressed in this work. Although the problem is well studied in the lite...
متن کاملBlind Separation of Spatio-temporal Data Sources
ICA and similar techniques have been previously applied to either one-dimensional signals or still images. We consider the problem of blind separation of dynamic sources, i.e. functions of both time and two spatial variables. We extend the Sparse ICA (SPICA) approach and apply it to a sliding data cube, defined by the two dimensions of the visual scene and the extent in time over which the mixi...
متن کاملProgress in Blind Separation of Magnetoencephalographic Data
The match between the physics of MEG and the assumptions of the most well developed blind source separation (BSS) algorithms (unknown instantaneous linear mixing process, many sensors compared to expected recoverable sources, large data limit) have tempted researchers to apply these algorithms to MEG data. We review some of these efforts, with particular emphasis on our own work.
متن کاملBlind separation of partially overlapping data packets
Article history: Available online 16 June 2017
متن کاملBlind Source Separation for digital data protection
Digital transmission is acquiring an ever increasing role in a variety of modern applications. As most of these applications demand data security assurances in order to be accepted by potential users and to be able to produce the desired results, there is an increasing demand for cryptographic techniques capable of providing these assurances. In paradigms like the mobile phone networks or IP ne...
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: Entropy
سال: 2018
ISSN: 1099-4300
DOI: 10.3390/e20030150