Phase aliasing correction for robust blind source separation using DUET
نویسندگان
چکیده
منابع مشابه
Phase Aliasing Correction For Robust Blind Source Separation Using DUET
Degenerate Unmixing Estimation Technique (DUET) is a technique for blind source separation (BSS). Unlike the ICA based BSS techniques, DUET is a time-frequency scheme that relies on the socalled W-disjoint orthogonality (WDO) property of the source signals, which states that the windowed Fourier transforms of different source signals have statistically disjoint supports. In addition to being co...
متن کامل8 The DUET Blind Source Separation
This chapter presents a tutorial on the DUET Blind Source Separation method which can separate any number of sources using only two mixtures. The method is valid when sources are W-disjoint orthogonal, that is, when the supports of the windowed Fourier transform of the signals in the mixture are disjoint. For anechoic mixtures of attenuated and delayed sources, the method allows one to estimate...
متن کاملA Robust Watermarking using Blind Source Separation
In this paper, we present a robust and secure algorithm for watermarking, the watermark is first transformed into the frequency domain using the discrete wavelet transform (DWT). Then the entire DWT coefficient except the LL (Band) discarded, these coefficients are permuted and encrypted by specific mixing. The encrypted coefficients are inserted into the most significant spectral components of...
متن کاملRobust blind source separation algorithms using cumulants
In this paper we propose a new approach to blind separation of independent source signals that, while avoiding the imposition of an orthogonal mixing matrix, is robust with respect to the existence of additive Gaussian noise in the mixture. We demonstrate that, for the wide class of source distributions with certain non-null cumulants and a pre-speci3ed scaling, separation is always a saddle po...
متن کاملCorrection to “ Blind Source Separation Using Renyi ’ s Mutual Information ”
The paper entitled, "Blind Source Separation Using Renyi's Mutual Information," was found to contain an incorrect statement. This short communication addresses the incorrect statement and gives the correction. Kenneth E. Hild II, Deniz Erdogmus, Jose C. Principe Department of Electrical and Computer Engineering University of Florida Gainesville, FL 32611, USA The authors of the paper entitled, ...
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: Applied and Computational Harmonic Analysis
سال: 2013
ISSN: 1063-5203
DOI: 10.1016/j.acha.2013.01.002