[PDF] Top 20 Blind Separation of Nonstationary Sources Based on Spatial Time-Frequency Distributions
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Blind Separation of Nonstationary Sources Based on Spatial Time-Frequency Distributions
... In [26], the subspace analysis of STFD matrices was pre- sented for signals with clear t-f signatures, such as frequency modulated (FM) signals. It was shown that the o ff erings of using an STFD matrix instead of ... See full document
13
Independent vector analysis based on overlapped cliques of variable width for frequency-domain blind signal separation
... ferent frequency components ...the frequency bins of the acoustic sources have radially symmetric distributions ...the frequency domain [21], such an assumption seems valid and also ... See full document
12
Evaluations on underdetermined blind source separation in adverse environments using time frequency masking
... for blind source separation is proposed based on the fuzzy c-means clustering to yield improvements in separation ability for underdetermined situations using a nonlinear microphone ...the ... See full document
18
COMPARATIVE ANALYSIS OF TIME DOMAIN AND FREQUENCY DOMAIN BLIND AUDIO SOURCE SEPARATION TECHNIQUES
... of blind audio source separation techniques in time domain, frequency ...In time domain analysis modified convex divergence method and ICA decomposition techniques are considered and in ... See full document
8
A hybrid algorithm for blind source separation of a convolutive mixture of three speech sources
... jacent frequency bands ...is based on the amount of correlation and that surely varies case by ...developed, based on de-correlation in the frequency domain; the algorithm avoids permutation ... See full document
15
A Novel Algorithm for Multichannel Deconvolutive based on αβ Divergence
... robustness separation with respect to noise and ...source separation in various settings, covering blind and supervised separation, music and speech sources, synthetic instantaneous and ... See full document
6
Spatial time frequency distribution of cross term based direction of arrival estimation for weak non stationary signal
... A blind source separation technology applying both cross terms and auto-terms in the time- frequency distributions of the source signals was con- sidered by Belouchrani et ...source ... See full document
12
Permutation Correction in the Frequency Domain in Blind Separation of Speech Mixtures
... of frequency bins used to solve the permutation ambiguity is determined in [16] by sorting the similarity in an increasing ...each frequency bin and the sum of the aligned frequencies is taken as a ...each ... See full document
16
Separating More Sources Than Sensors Using Time-Frequency Distributions
... of blind separation of nonstationary sources in the underdetermined case, where there are more sources than ...Since time-frequency (TF) signal processing provides ... See full document
20
Techniques for robust source separation and localization in adverse environments: Issues and performance of a new framework of emerging techniques for frequency-domain convolutive blind/semi-blind separation and localization of acoustic sources
... acoustic sources distributed arrays have been widely used in order to improve the localization ...and spatial coverage can be increased by ex- ploiting appropriate array geometries, without the needs of ... See full document
216
Estimating Functions for Blind Separation When Sources Have Variance Dependencies
... algorithms based on temporal structure such as TD- SEP/SOBI (Ziehe and M¨uller, 1998; Belouchrani et ...because sources have no lagged ...if sources are Gaussian. The double blind algorithm ... See full document
30
Experimental Evaluation of Ultra Wideband Propagation and Transmission within a Small Spacecraft for Replacing Wired Interface Buses
... In this study, ultra wideband (from 3.1 - 10.6 GHz, 4.2 - 4.8 GHz, and 7.4 - 7.9 GHz) and CW (6.85 GHz) propagation and transmission were measured and characterized inside an MTM and a shield box emulating a small ... See full document
15
Sparse and shift invariant representations of music
... Most of the coefficients are zero with high probability and, therefore, most columns of do not contribute to any one ob- servation. In order to speed up the optimization required to find the maximum of , we propose to ... See full document
9
Time-Frequency Signal Processing for Automated Infant Cry Classification
... analysis based methods to classify different patterns of newborn cry ...t-f based signal processing approach using QTFDs (SPEC, WVD, SWVD, CWD and MBD) for classification of cry signals was ...t-f ... See full document
11
On the conditions for valid objective functions in blind separation of independent and dependent sources
... the separation of independent and dependent sources based on the maximization (or minimization) of objective functions by filling the gaps existing among pre- vious works and giving rigorous ... See full document
17
Robust Time-Frequency Distributions with Complex-Lag Argument
... robust time-frequency distributions with complex-lag argument are ...instantaneous frequency in the presence of noise with heavy-tailed probability density ... See full document
10
Study on Separation of Underwater Vehicle Noise Based on Blind Source Separation
... KICA separation are less affected by noise interference than those obtained by traditional ICA, and the results are more ...the time domain feature in the processing result, and the order of each source ... See full document
5
Computationally Efficient Scale Covariant Time-Frequency Distributions
... the time-frequency representations of this signal for three different distributions: the computational efficient scale covariant distribution introduced in this paper, the Wigner distribution, and the ... See full document
6
Speaker Separation and Tracking System
... The audio data is converted to 12 MFCCs (mel-frequency cepstrum coefficients) and their deltas. The MFCCs are cal- culated for each time frame. The annotation of the au- dio stream is split into three ... See full document
14
Depth Resolved EELS and Chemical State Mapping of N+ Implanted TiO2 Photocatalyst
... depth distributions of those chemical states were separately imaged by applying the MALS regression among an SMCR techniques to the EFTEM data set, revealing that one state relating to the visible-light response ... See full document
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