Active source selection using gap statistics for underdetermined blind source separation
نویسندگان
چکیده
منابع مشابه
A modified underdetermined blind source separation algorithm using competitive learning
The problern of underdetermined blind source sepamtion is addressed. A n adnanced classification method based upon competitive leainin,g is proposed for automatically determining the number of active sources over the obseruatior~. Its ihtroduction in underdetermined blind source separation successfully overcomes th,e drawbock of an existing method, in which the goal of sepamtiny more sources th...
متن کاملContribution of statistical tests to sparseness-based blind source separation
We address the problem of blind source separation in the underdetermined mixture case. Two statistical tests are proposed to reduce the number of empirical parameters involved in standard sparsenessbased underdetermined blind source separation (UBSS) methods. The first test performs multisource selection of the suitable time-frequency points for source recovery and is full automatic. The second...
متن کاملNonlinear underdetermined blind signal separation using Bayesian neural network approach
Nonlinear signal separation and underdetermined signal separation have received much attention in blind signal separation literature. However, neither of them can solve the situation where both nonlinear and underdetermined characteristics exist at the same time. In this paper, a new learning algorithm based on Bayesian statistics is proposed to solve the separation problem of the blind nonline...
متن کاملA Novel Video Compression Approach Based on Underdetermined Blind Source Separation
This paper develops a new video compression approach based on underdetermined blind source separation. Underdetermined blind source separation, which can be used to efficiently enhance the video compression ratio, is combined with various off-the-shelf codecs in this paper. Combining with MPEG-2, video compression ratio could be improved slightly more than 33%. As for combing with H.264, 4X~12X...
متن کاملUnderdetermined Blind Separation of Convolutive Mixtures of Speech Using Time-Frequency Mask and Mixing Matrix Estimation
This paper focuses on the underdetermined blind source separation (BSS) of three speech signals mixed in a real environment from measurements provided by two sensors. To date, solutions to the underdetermined BSS problem have mainly been based on the assumption that the speech signals are sufficiently sparse. They involve designing binary masks that extract signals at time-frequency points wher...
متن کامل