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Estimating the Spatial Position of Spectral Components in Audio [chapter]

R. Mitchell Parry, Irfan Essa
2006 Lecture Notes in Computer Science  
estimate the spectral shape, time envelope and spatial position of each component.  ...  One way of separating sources from a single mixture recording is by extracting spectral components and then combining them to form estimates of the sources.  ...  Multichannel Non-negative Matrix Factorization We extend non-negative matrix factorization to handle multiple mixtures by concurrently estimating the spatial positions of spectral components.  ... 
doi:10.1007/11679363_83 fatcat:3edpi5723rdmnpbaewtgqvmwie

Analysing and Correcting the Differences between Multi-Source and Multi-Scale Spatial Remote Sensing Observations

Yingying Dong, Ruisen Luo, Haikuan Feng, Jihua Wang, Jinling Zhao, Yining Zhu, Guijun Yang, Ke Lu
2014 PLoS ONE  
These differences can be mainly quantitatively described from three aspects, i.e. multiple remote sensing observations, crop parameters estimation models, and spatial scale effects of surface parameters  ...  Theories of statistics were involved to extract statistical characteristics of multiple surface reflectance datasets, and further quantitatively analyse spatial variations of these characteristics at multiple  ...  Sincere thanks would also go to Xingang Xu and Weiguo Li for assistance with multiple satellite data collection. Author Contributions  ... 
doi:10.1371/journal.pone.0111642 pmid:25405760 pmcid:PMC4236013 fatcat:jz5ecpbndzhdfatvkgyjw2p6uu

Near-field adaptive beamforming and source localization in the spacetime frequency domain

Francisco Pinto, Martin Vetterli
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
Conversely, the spectral pattern can be estimated from an arbitrary input through the use of parametric spectral estimation techniques, providing a novel solution to the near-field source localization  ...  With the proposed method, the wave field is expressed as a separable combination of the signal and spatial components that characterize the various sources in the acoustic scene.  ...  In a multiple source environment, (17) can be used to estimate the number of dominant sources and their respective angles, while (18) is used to estimate the distance of each detected source.  ... 
doi:10.1109/icassp.2010.5496232 dblp:conf/icassp/PintoV10 fatcat:3t4kfimks5b4xh2iofsonmqczi

Multichannel music separation with deep neural networks

Aditya Arie Nugraha, Antoine Liutkus, Emmanuel Vincent
2016 2016 24th European Signal Processing Conference (EUSIPCO)  
This work is partly supported by the French National Research Agency (ANR) as parts of the DYCI2 project (ANR-14-CE24-0002-01) and the KAMoulox project (ANR-15-CE38-0003-01).  ...  ACKNOWLEDGMENT The authors would like to thank the developers of Theano [33] .  ...  The weighted spatial parameter updates effectively handle bad estimation of spectral parameters by the DNN.  ... 
doi:10.1109/eusipco.2016.7760548 dblp:conf/eusipco/NugrahaLV16 fatcat:5q73vkzhr5btplqlu23pfi53gi

A DIMENSIONALITY REDUCTION MUSIC METHOD FOR JOINT DOA AND POLARIZATION ESTIMATION IN THE PRDRF SYSTEM USING SSSC-EVSA

Pinjiao Zhao, Guobing Hu, Liwei Wang
2018 Progress In Electromagnetics Research M  
Polarization parameters are estimated via the generalized eigenvector of matrix pencil, which can be utilized for the recognition of radar and decoy.  ...  This paper develops a joint DOA and polarization estimation method named as dimensionality reduction MUSIC (DR-MUSIC) method for a passive radar direction finding (PRDRF) system using spatially separated  ...  The DOAs of impinging sources are resolved by 2D spectral search, and polarization parameters are estimated via the generalized eigenvector of matrix pencil.  ... 
doi:10.2528/pierm18091201 fatcat:4xknzreypfcvhmbz2tvmpo6ugq

FUSION OF OPTICAL DATA AND SAR DATA FOR THE ESTIMATION OF NITROGEN CONCENTRATION IN PEARL RIVER ESTUARY HONG KONG SEAS, CHINA

X. Liu, M. Liu, L. Wu
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The four sensitive parameters, reflectance of Band 4, NDSI (Normalized Difference Spectral Index), the backscattering coefficient of HV and VH were derived as input variables to assess the TIN.  ...  The objective of this research is to estimate total inorganic nitrogen (TIN) by integrating optical parameters from HJ-1 CCD image and polarization parameters from RADARSAT-2 quad-polarization image.  ...  ACKNOWLEDGEMENTS This research was supported by the National Natural Science Foundation of China (No. U0933005).  ... 
doi:10.5194/isprsarchives-xxxix-b7-463-2012 fatcat:i2dpqsez4rgzle47fhj2u7yuhi

A General Modular Framework for Audio Source Separation [chapter]

Alexey Ozerov, Emmanuel Vincent, Frédéric Bimbot
2010 Lecture Notes in Computer Science  
Most of audio source separation methods are developed for a particular scenario characterized by the number of sources and channels and the characteristics of the sources and the mixing process.  ...  In this paper we introduce a general modular audio source separation framework based on a library of flexible source models that enable the incorporation of prior knowledge about the characteristics of  ...  Arberet and F. Nesta for kindly sharing their implementations of DEMIX [2] and a TDOAs estimation [9] algorithms.  ... 
doi:10.1007/978-3-642-15995-4_5 fatcat:bxef2j25mjeb3dcm5qam3qwiwu

A General Framework for Online Audio Source Separation [chapter]

Laurent S. R. Simon, Emmanuel Vincent
2012 Lecture Notes in Computer Science  
Also, they rely either on spatial cues or on spectral cues and cannot separate certain mixtures.  ...  The model parameters are estimated in the Maximum Likelihood (ML) sense using a Generalised Expectation Maximisation (GEM) algorithm with multiplicative updates.  ...  Such algorithms are not capable of separating mixtures where several sources have the same spatial position and several sources have similar spectral characteristics.  ... 
doi:10.1007/978-3-642-28551-6_49 fatcat:6gb3aiurenai5i7ihwezez7sty

A general framework for online audio source separation [article]

Laurent S. R. Simon
2011 arXiv   pre-print
Also, they rely either on spatial cues or on spectral cues and cannot separate certain mixtures.  ...  The model parameters are estimated in the Maximum Likelihood (ML) sense using a Generalised Expectation Maximisation (GEM) algorithm with multiplicative updates.  ...  )v j (f, n) (3) where R j (f ) is the spatial covariance matrix of the j-th source and v j (f, n) is its spectral variance.  ... 
arXiv:1112.6178v1 fatcat:hpuyvgl2nzdnbk5rkmdb3bfyhu

A multichannel diffuse power estimator for dereverberation in the presence of multiple sources

Sebastian Braun, Emanuël A. P. Habets
2015 EURASIP Journal on Audio, Speech, and Music Processing  
To attain reverberation reduction using this spatial filter, an accurate estimate of the diffuse sound PSD is required.  ...  In addition, the performance of the spatial filter computed with the diffuse sound PSD estimate is analyzed using simulated and measured room impulse responses in noisy environments with stationary noise  ...  Acknowledgements This research was partly funded by the German-Israeli Foundation for Scientific Research and Development (GIF).  ... 
doi:10.1186/s13636-015-0077-2 fatcat:ocwn4zmdhngelptmd3lyxoupp4

On the Role of Spatial, Spectral, and Temporal Processing for DNN-based Non-linear Multi-channel Speech Enhancement [article]

Kristina Tesch, Nils-Hendrik Mohrmann, Timo Gerkmann
2022 arXiv   pre-print
an independent tempo-spectral post-filter: 1) non-linear spatial filtering allows to overcome potential restrictions originating from a linear processing model and 2) joint processing of spatial and tempo-spectral  ...  Therefore, in this paper, we perform experiments to better understand the internal processing of spatial, spectral and temporal information by DNN-based non-linear filters.  ...  While experiments with the analytic estimator show great potential for joint non-linear spatial-spectral processing, practical applicability is questionable because accurate parameter estimation of higher-order  ... 
arXiv:2206.11181v1 fatcat:zzunep2gu5g55jwach5aiqzgci

Linearly Constrained Minimum Variance Source Localization and Spectral Estimation

Jacek Dmochowski, Jacob Benesty, SofiÈne Affes
2008 IEEE Transactions on Audio, Speech, and Language Processing  
Spatial spectral estimation is commonly referred to as source localization, as the direction of the wavenumber vector is indeed the direction of propagation.  ...  Moreover, it is then demonstrated that by employing multiple sensors and steering the array to the assumed source location, the estimate of the desired signal's temporal spectrum contains a lesser contribution  ...  It is clear that the inclusion of additional sensors reduces the level of noise and reverberation present in the spectral estimates for all combinations of parameters.  ... 
doi:10.1109/tasl.2008.2005029 fatcat:6hctn43zvrhuhllmukqkpxt5oe

Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sources

H. Wang, M. Kaveh
1985 IEEE Transactions on Acoustics Speech and Signal Processing  
The performance of the technique is contrasted with other suggested methods and statistical bounds in terms of the determination of the correct number of sources (detection), bias, and variance of estimates  ...  This paper presents a method of constructing a single signal subspace for high-resolution estimation of the angles of arrival of multiple wide-band plane waves.  ...  Wax of Stanford Unviersity, Stanford, CA. Careful review by the referees is also appreciated.  ... 
doi:10.1109/tassp.1985.1164667 fatcat:aqiykkfrorfink4dpog3acigpu

eBASCS: Disentangling Overlapping Astronomical Sources II, using Spatial, Spectral, and Temporal Information

Antoine D Meyer, David A van Dyk, Vinay L Kashyap, Luis F Campos, David E Jones, Aneta Siemiginowska, Andreas Zezas
2021 Monthly notices of the Royal Astronomical Society  
We develop a Bayesian method designed to sift high-energy photon events from multiple sources with overlapping point spread functions, leveraging the differences in their spatial, spectral, and temporal  ...  We are also able to compute source parameters of interest like their locations, relative brightness, and background contamination, while accounting for the uncertainty in event assignments.  ...  AC K N OW L E D G E M E N T S This work was conducted under the auspices of the CHASC International Astrostatistics Center.  ... 
doi:10.1093/mnras/stab1456 fatcat:hdgny7zagjbhbirvklcu7ph2oq

DOA estimation of spectrally overlapped LFM signals based on STFT and Hough transform

Xiaofa Zhang, Weike Zhang, Ye Yuan, Kaibo Cui, Tao Xie, Naichang Yuan
2019 EURASIP Journal on Advances in Signal Processing  
However, the DOA estimation performance may degrade substantially when multiple LFM signals are spectrally overlapped in time-frequency (TF) domain.  ...  Traditional subspace methods which are based on the spatial time-frequency distribution (STFD) matrix have been investigated for direction-of-arrival (DOA) estimation of linear frequency modulation (LFM  ...  Authors' contributions WZ and KC proposed the original idea of the full text; WZ and YY designed and implemented the simulation experiments; WZ and TX wrote the manuscript under the guidance of NY; WZ  ... 
doi:10.1186/s13634-019-0654-0 fatcat:5xdgln56sjakxlz6nl275jtdrq
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