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This paper presents a novel approach for blind audio watermarking.
In [17], a Bayesian approach for blind separation of linear mixtures of sources was developed.
In [15], a composite approach for blind grayscale logo watermarking is presented.
In [15], an approach for blind recognition of binary linear block codes in low code-rate situations is presented.
In addition, a new approach for blind separation of nonstationary sources using their TFDs, was proposed in [75].
In this paper, we develop an approach for blind recognition of the coding parameters of a communication system which uses binary cyclic codes.
Similar(52)
The work in [8] summarizes the second-order statistics-based approaches for blind identification.
We discuss approaches for blind source separation where we can use more sensors than sources to obtain a better performance.
Existing approaches for blind spot measurement that follow international standards typically require a time-consuming set-up and are limited by the number of different visibility analyses that can be performed.
There have been two popular approaches among the researchers to address the issues related to speech based web access for blind user.
To the best of our knowledge, this paper is the first publication in literature, which introduces an approach for complete-blind recognition of binary cyclic codes in soft-decision situations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com