Introduction to Blind Identification
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By using mathematical derivation and empirical corroboration, the results suggest that the improved moment matching (IMM) is capable of reducing OAs effectively and reserving the EEG waveform information on the greatest extent compared to existing methods, such as independent component analysis (ICA) and second-order blind identification.
By using mathematical derivation and empirical corroboration, the results suggest that the improved moment matching (IMM) is capable of reducing OAs effectively and reserving the EEG waveform information on the greatest extent compared to existing methods, such as independent component analysis (ICA) and second-order blind identification.
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Here using a combination of high-density EEG, second order blind identification (SOBI), and a standard visual oddball task, we test, in humans, a two-stage novelty processing hypothesis which states that two distinct stages of novelty processing exist, one involves early-occurring domain-specific neural activity in the sensory processing areas of the brain and the other involves later-occurring domain-general neural activity involving brain regions beyond the sensory cortices.
Here using a combination of high-density EEG, second order blind identification (SOBI), and a standard visual oddball task, we test, in humans, a two-stage novelty processing hypothesis which states that two distinct stages of novelty processing exist, one involves early-occurring domain-specific neural activity in the sensory processing areas of the brain and the other involves later-occurring domain-general neural activity involving brain regions beyond the sensory cortices.
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Blind Identification sentence examples within blind identification method
In this work, we formulate a blind identification method based on long short-term memory neural network (LSTM-NN) model.
In this work, we formulate a blind identification method based on long short-term memory neural network (LSTM-NN) model.
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To address the issues such as less sensors than the targeted modal modes (under-determinate problem), repeated natural frequencies as well as systems with complex mode shapes, this paper proposed a complex wavelet modified second order blind identification method (CWMSOBI) by transforming the time domain problem into time-frequency domain.
To address the issues such as less sensors than the targeted modal modes (under-determinate problem), repeated natural frequencies as well as systems with complex mode shapes, this paper proposed a complex wavelet modified second order blind identification method (CWMSOBI) by transforming the time domain problem into time-frequency domain.
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Blind Identification sentence examples within blind identification algorithm
The blind identification algorithm of nonlinear model is applied for the digital calibration of weak nonlinear circuit.
The blind identification algorithm of nonlinear model is applied for the digital calibration of weak nonlinear circuit.
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Diagonalization methods for IVA in the proposed system were reworked based on SCHUR decomposition offering a faster second order blind identification algorithm that can be used on time demanding applications.
Diagonalization methods for IVA in the proposed system were reworked based on SCHUR decomposition offering a faster second order blind identification algorithm that can be used on time demanding applications.
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Blind Identification sentence examples within blind identification problem
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10.3390/s21113884
At present, the recognition of FEC codes is mainly concentrated in the field of semi-blind identification with known types of codes.
At present, the recognition of FEC codes is mainly concentrated in the field of semi-blind identification with known types of codes.
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10.1109/LPT.2021.3083989
Consequently, blind identification of the shaping rate for the PS-QAM signals is in an urgent demand for the flexible transceiver.
Consequently, blind identification of the shaping rate for the PS-QAM signals is in an urgent demand for the flexible transceiver.
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10.1088/1741-2552/ac1d5a
By using mathematical derivation and empirical corroboration, the results suggest that the improved moment matching (IMM) is capable of reducing OAs effectively and reserving the EEG waveform information on the greatest extent compared to existing methods, such as independent component analysis (ICA) and second-order blind identification.
By using mathematical derivation and empirical corroboration, the results suggest that the improved moment matching (IMM) is capable of reducing OAs effectively and reserving the EEG waveform information on the greatest extent compared to existing methods, such as independent component analysis (ICA) and second-order blind identification.
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10.1016/J.SIGPRO.2021.108152
This paper addresses the problem of blind identification of multichannel systems.
This paper addresses the problem of blind identification of multichannel systems.
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10.1109/LCOMM.2021.3053151
However, the role of chaos in blind identification of a sparse system has not been investigated.
However, the role of chaos in blind identification of a sparse system has not been investigated.
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10.3390/systems9020046
The study presented in this paper demonstrates that the cumulant-based algorithms are more adequate if the data inputs are not available (blind identification), but the kernel- and binary-measurement-based methods are more adequate if the noise is not important (SNR≥16 dB).
The study presented in this paper demonstrates that the cumulant-based algorithms are more adequate if the data inputs are not available (blind identification), but the kernel- and binary-measurement-based methods are more adequate if the noise is not important (SNR≥16 dB).
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10.31234/OSF.IO/QF7YZ
Here using a combination of high-density EEG, second order blind identification (SOBI), and a standard visual oddball task, we test, in humans, a two-stage novelty processing hypothesis which states that two distinct stages of novelty processing exist, one involves early-occurring domain-specific neural activity in the sensory processing areas of the brain and the other involves later-occurring domain-general neural activity involving brain regions beyond the sensory cortices.
Here using a combination of high-density EEG, second order blind identification (SOBI), and a standard visual oddball task, we test, in humans, a two-stage novelty processing hypothesis which states that two distinct stages of novelty processing exist, one involves early-occurring domain-specific neural activity in the sensory processing areas of the brain and the other involves later-occurring domain-general neural activity involving brain regions beyond the sensory cortices.
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10.1007/S40030-021-00523-2
A modal identification technique called second-order blind identification (SOBI) is discussed in this paper to estimate the modal parameters of tall structures subjected to ambient loading.
A modal identification technique called second-order blind identification (SOBI) is discussed in this paper to estimate the modal parameters of tall structures subjected to ambient loading.
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10.1109/ICASSP39728.2021.9415031
This paper is concerned with the blind identification of graph filters from graph signals.
This paper is concerned with the blind identification of graph filters from graph signals.
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10.1109/ACCESS.2021.3051646
The proposed technique is shown to improve blind identification performance at low signal-to-noise ratio (SNR) when the system is driven by both chaotic numeric and symbolic signals.
The proposed technique is shown to improve blind identification performance at low signal-to-noise ratio (SNR) when the system is driven by both chaotic numeric and symbolic signals.
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10.1364/OE.419654
In this work, we formulate a blind identification method based on long short-term memory neural network (LSTM-NN) model.
In this work, we formulate a blind identification method based on long short-term memory neural network (LSTM-NN) model.
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10.14429/dsj.71.15047
Several papers have been published on blind identification of binary FEC codes but papers reported on the identification of non-binary error correcting codes are less.
Several papers have been published on blind identification of binary FEC codes but papers reported on the identification of non-binary error correcting codes are less.
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10.12989/SEM.2021.78.3.369
To address the issues such as less sensors than the targeted modal modes (under-determinate problem), repeated natural frequencies as well as systems with complex mode shapes, this paper proposed a complex wavelet modified second order blind identification method (CWMSOBI) by transforming the time domain problem into time-frequency domain.
To address the issues such as less sensors than the targeted modal modes (under-determinate problem), repeated natural frequencies as well as systems with complex mode shapes, this paper proposed a complex wavelet modified second order blind identification method (CWMSOBI) by transforming the time domain problem into time-frequency domain.
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10.1016/J.SIGPRO.2021.108297
Therefore, this paper deals with the blind and semi-blind identification of nonlinear SIMO/MIMO channels.
Therefore, this paper deals with the blind and semi-blind identification of nonlinear SIMO/MIMO channels.
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10.1007/S11045-021-00767-Y
Compared with the existing second-order blind identification and spatial smoothing SOBI algorithms, the proposed algorithm does not need the information of the first order Bragg frequency of sea clutter, so it can improve the output signal-to-clutter-noise ratio when there is an error in the first order Bragg frequency of sea clutter.
Compared with the existing second-order blind identification and spatial smoothing SOBI algorithms, the proposed algorithm does not need the information of the first order Bragg frequency of sea clutter, so it can improve the output signal-to-clutter-noise ratio when there is an error in the first order Bragg frequency of sea clutter.
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10.1109/LCOMM.2021.3083921
Accordingly, the blind identification techniques of encoders have drawn much research interest.
Accordingly, the blind identification techniques of encoders have drawn much research interest.
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10.1109/LSP.2020.3047334
Blind identification of encoders has received increasing attention in recent years.
Blind identification of encoders has received increasing attention in recent years.
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10.1016/J.CJA.2020.10.037
While DL has been intensively studied for modulation recognition, there are very few investigations for blind identification of Space-Time Block Codes (STBCs).
While DL has been intensively studied for modulation recognition, there are very few investigations for blind identification of Space-Time Block Codes (STBCs).
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10.1109/DDCLS52934.2021.9455365
In this work, we study the blind identification of Hammerstein-like system with memory nonlinearity.
In this work, we study the blind identification of Hammerstein-like system with memory nonlinearity.
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10.1109/ICTC51749.2021.9441567
The blind identification of scrambling codes is an important issue in intelligent reception of unknown synchronous digital hierarchy (SDH) lines.
The blind identification of scrambling codes is an important issue in intelligent reception of unknown synchronous digital hierarchy (SDH) lines.
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10.1088/1361-6560/ac02d3
Based on clinical consensus for three typical DCE-MRI curve patterns, three characteristic curves as regularization constraints were introduced to the extended Tofts model (ETM) using clustering strategy, and the clustering-based blind identification of multichannel (CBM) framework was then proposed for pharmacokinetic parameter estimation.
Based on clinical consensus for three typical DCE-MRI curve patterns, three characteristic curves as regularization constraints were introduced to the extended Tofts model (ETM) using clustering strategy, and the clustering-based blind identification of multichannel (CBM) framework was then proposed for pharmacokinetic parameter estimation.
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10.1016/j.phycom.2020.101255
Firstly, based on a new double-constrained single source points (SSP) detection criterion, a fuzzy mean clustering underdetermined blind identification (UBI) algorithm is proposed which got the high precision estimation of the mixing matrix.
Firstly, based on a new double-constrained single source points (SSP) detection criterion, a fuzzy mean clustering underdetermined blind identification (UBI) algorithm is proposed which got the high precision estimation of the mixing matrix.
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10.1109/ICSGEA53208.2021.00036
The four ICA algorithms are: Second Order Blind Identification (SOBI), Hyvarinen's Fixed Point Algorithm (FastICA), Infomax and Joint Approximation Diagonalization of Eigenmatrices (JADE).
The four ICA algorithms are: Second Order Blind Identification (SOBI), Hyvarinen's Fixed Point Algorithm (FastICA), Infomax and Joint Approximation Diagonalization of Eigenmatrices (JADE).
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10.1016/J.DSP.2021.103086
Blind identification of channel codes is becoming increasingly important in signal interception and intelligent communication systems.
Blind identification of channel codes is becoming increasingly important in signal interception and intelligent communication systems.
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10.1016/J.DSP.2021.103137
For the issue, this paper proposes a method with inverse-sparse transform and second order blind identification (SOBI) for the separation of the activations.
For the issue, this paper proposes a method with inverse-sparse transform and second order blind identification (SOBI) for the separation of the activations.
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10.1117/12.2587041
The proposed approach reduces the problem of statistical blind image deconvolution to the problem of blind identification of one-dimensional signals.
The proposed approach reduces the problem of statistical blind image deconvolution to the problem of blind identification of one-dimensional signals.
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10.1016/j.ijepes.2020.106415
This work proposes the utilization of signal processing techniques to decompose the electrical voltage and/or current signals into its harmonic and interhamonic component waveforms through a Blind Source Separation (BSS) algorithm named Second Order Blind Identification (SOBI).
This work proposes the utilization of signal processing techniques to decompose the electrical voltage and/or current signals into its harmonic and interhamonic component waveforms through a Blind Source Separation (BSS) algorithm named Second Order Blind Identification (SOBI).
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10.1109/WCNC49053.2021.9417531
Therefore, we propose a blind identification method for mixed numerologies.
Therefore, we propose a blind identification method for mixed numerologies.
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10.1109/ICCSSE52761.2021.9545107
A blind identification of adaptive nonlinear control for inverse nonlinear transform is proposed.
A blind identification of adaptive nonlinear control for inverse nonlinear transform is proposed.
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10.1007/s13042-021-01406-5
Second, to obtain an accurate mixing matrix estimation, a blind identification method is designed by identifying single source data.
Second, to obtain an accurate mixing matrix estimation, a blind identification method is designed by identifying single source data.
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10.1016/j.jmva.2021.104830
Three popular dimension reduction methods, namely principal component analysis (PCA), fourth order blind identification (FOBI) and sliced inverse regression (SIR) are considered in detail and the first two moments of subsets of the eigenvalues are used to test for the dimension of the signal space.
Three popular dimension reduction methods, namely principal component analysis (PCA), fourth order blind identification (FOBI) and sliced inverse regression (SIR) are considered in detail and the first two moments of subsets of the eigenvalues are used to test for the dimension of the signal space.
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10.3390/sym13061094
At present, the recognition of FEC codes is mainly concentrated in the field of semi-blind identification with known types of codes.
At present, the recognition of FEC codes is mainly concentrated in the field of semi-blind identification with known types of codes.
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10.1109/CCNS53852.2021.00013
Blind identification for modulations is an important issue in signal processing and wireless communications.
Blind identification for modulations is an important issue in signal processing and wireless communications.
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10.1007/S00034-021-01669-X
In this paper, we are interested in the blind identification of binary linear block codes from received noisy data.
In this paper, we are interested in the blind identification of binary linear block codes from received noisy data.
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10.5281/zenodo.2656681
Thus, DMD is a time series blind source separation algorithm in disguise, but is different from closely related second order algorithms such as the Second-Order Blind Identification (SOBI) method and the Algorithm for Multiple Unknown Signals Extraction (AMUSE).
Thus, DMD is a time series blind source separation algorithm in disguise, but is different from closely related second order algorithms such as the Second-Order Blind Identification (SOBI) method and the Algorithm for Multiple Unknown Signals Extraction (AMUSE).
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10.23919/ICCAS47443.2019.8971645
DWSAE is compared with two other methods that are Second order blind identification (SOBI) and Wavelet neural network (WNN).
DWSAE is compared with two other methods that are Second order blind identification (SOBI) and Wavelet neural network (WNN).
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10.1109/ICSIDP47821.2019.9173033
The blind identification algorithm of nonlinear model is applied for the digital calibration of weak nonlinear circuit.
The blind identification algorithm of nonlinear model is applied for the digital calibration of weak nonlinear circuit.
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10.1109/TUFFC.2019.2924824
We then tested ADMIRE’s performance using full, GSO, SVD, and ICA–fourth-order blind identification (ICA-FOBI) models.
We then tested ADMIRE’s performance using full, GSO, SVD, and ICA–fourth-order blind identification (ICA-FOBI) models.
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10.1109/JIOT.2018.2879454
We successfully trained and tested various multilayer perceptron-based models for blind identification, in real-time, using our implemented agricultural IoT implementation.
We successfully trained and tested various multilayer perceptron-based models for blind identification, in real-time, using our implemented agricultural IoT implementation.
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10.1109/ACCESS.2019.2891971
We then propose a method to extract blood volume pulse and eye blink and yawn signals as multiple independent sources simultaneously by multi-channel second-order blind identification (SOBI) without any other sophisticated processing, such as eye and mouth localizations.
We then propose a method to extract blood volume pulse and eye blink and yawn signals as multiple independent sources simultaneously by multi-channel second-order blind identification (SOBI) without any other sophisticated processing, such as eye and mouth localizations.
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10.1109/CISCE.2019.00040
In terms of non-cooperative communication, blind identification of signal interleaving type is an important part of channel coding identification.
In terms of non-cooperative communication, blind identification of signal interleaving type is an important part of channel coding identification.
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10.23919/ACC.2019.8814303
In this paper we consider the blind identification problem of a single input single output (SISO) linear system.
In this paper we consider the blind identification problem of a single input single output (SISO) linear system.
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10.5344/catalyst.2019.18008
Key Findings: Participants with the most experience with the reference standards performed best on a blind identification of reference standards.
Key Findings: Participants with the most experience with the reference standards performed best on a blind identification of reference standards.
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10.14429/dsj.69.13370
To get useful information from intercepted data, in noncooperative context, it is necessary to have algoritihms for blind identification of FEC code and interleaver parameters.
To get useful information from intercepted data, in noncooperative context, it is necessary to have algoritihms for blind identification of FEC code and interleaver parameters.
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10.1109/ACCESS.2019.2915564
This method is a combination of singular spectrum analysis (SSA) and second-order blind identification (SOBI) method.
This method is a combination of singular spectrum analysis (SSA) and second-order blind identification (SOBI) method.
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10.1007/S00034-018-0961-Y
Simulation results show that the proposed algorithm significantly separate the source signals with better performance measures as compared with the state-of-the-art approaches such as second-order blind identification and fast independent component analysis.
Simulation results show that the proposed algorithm significantly separate the source signals with better performance measures as compared with the state-of-the-art approaches such as second-order blind identification and fast independent component analysis.
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10.23919/ACES48530.2019.9060584
SOBI(second order blind identification)algorithm is applied to solve the practical problem of separating multiple targets in space.
SOBI(second order blind identification)algorithm is applied to solve the practical problem of separating multiple targets in space.
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10.2139/ssrn.3391292
In the first step, independent components are extracted from nine macroeconomic time series using second order blind identification (SOBI).
In the first step, independent components are extracted from nine macroeconomic time series using second order blind identification (SOBI).
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10.1038/s41598-019-47006-w
Further validation of the platform was obtained through the blind identification of D-Cycloserine, a molecule scheduled to enter phase IV clinical trials for SCI.
Further validation of the platform was obtained through the blind identification of D-Cycloserine, a molecule scheduled to enter phase IV clinical trials for SCI.
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10.1967/S002449911051
Diagonalization methods for IVA in the proposed system were reworked based on SCHUR decomposition offering a faster second order blind identification algorithm that can be used on time demanding applications.
Diagonalization methods for IVA in the proposed system were reworked based on SCHUR decomposition offering a faster second order blind identification algorithm that can be used on time demanding applications.
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10.1109/ICASSP.2019.8683844
We study the problem of jointly estimating several network processes that are driven by the same input, recasting it as one of blind identification of a bank of graph filters.
We study the problem of jointly estimating several network processes that are driven by the same input, recasting it as one of blind identification of a bank of graph filters.
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10.1109/HPCC/SmartCity/DSS.2019.00196
The Second Order Blind identification (SOBI) algorithm is widely used in blind source separation (BSS) processing and has achieved many satisfactory results.
The Second Order Blind identification (SOBI) algorithm is widely used in blind source separation (BSS) processing and has achieved many satisfactory results.
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10.1177/1475921718758629
In this article, the use of Second-Order Blind Identification is proposed.
In this article, the use of Second-Order Blind Identification is proposed.
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10.21595/JVE.2018.20007
Then, we propose an adaptive blind identification and separation method based on the variable learning rate equivariant adaptive source separation via independence (EASI) algorithm.
Then, we propose an adaptive blind identification and separation method based on the variable learning rate equivariant adaptive source separation via independence (EASI) algorithm.
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10.1109/LSP.2019.2909968
We investigate the blind identification and separation of underdetermined linear instantaneous mixtures with a single sensor and an arbitrary known number of sources with finite known support and uniform distribution.
We investigate the blind identification and separation of underdetermined linear instantaneous mixtures with a single sensor and an arbitrary known number of sources with finite known support and uniform distribution.
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10.1016/J.KNOSYS.2019.02.026
The estimator is however already known since 1989 as FOBI (Fourth order blind identification), and it indeed has many nice properties, even outside the independent component model.
The estimator is however already known since 1989 as FOBI (Fourth order blind identification), and it indeed has many nice properties, even outside the independent component model.
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10.1007/978-3-319-74421-6_34
An algorithm called Second Order Blind Identification (SOBI) has been utilized for source separation and validated using simulation.
An algorithm called Second Order Blind Identification (SOBI) has been utilized for source separation and validated using simulation.
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10.1109/ACCESS.2019.2896878
The existing underdetermined speech blind identification (BI) algorithms can hardly possess both high recovery quality and high efficiency.
The existing underdetermined speech blind identification (BI) algorithms can hardly possess both high recovery quality and high efficiency.
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10.1007/978-3-030-36405-2_5
To improve the ability of blind identification and scheduling of sparse multipath channels in wireless communication networks under the background of Internet of things, a blind identification algorithm for sparse multipath wireless communication based on random sampling interval equalization and BPSK modulation is proposed.
To improve the ability of blind identification and scheduling of sparse multipath channels in wireless communication networks under the background of Internet of things, a blind identification algorithm for sparse multipath wireless communication based on random sampling interval equalization and BPSK modulation is proposed.
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10.1109/TWC.2019.2914687
Previous approaches for blind identification of space-frequency block codes (SFBCs) do not perform well for short observation periods due to their inefficient utilization of frequency-domain redundancy.
Previous approaches for blind identification of space-frequency block codes (SFBCs) do not perform well for short observation periods due to their inefficient utilization of frequency-domain redundancy.
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10.1364/JOSAA.36.000809
As such, our method is a blind identification method for linear dynamics in a stochastic Wiener system with a quadratic nonlinearity at the output and a phase retrieval method that uses a time-evolution-model constraint and a single image at every time step.
As such, our method is a blind identification method for linear dynamics in a stochastic Wiener system with a quadratic nonlinearity at the output and a phase retrieval method that uses a time-evolution-model constraint and a single image at every time step.
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10.18178/IJSPS.7.1.14-19
Secondly, weights-adjusted second-order blind identification (WASOBI) is utilized to separate the jamming and target echo.
Secondly, weights-adjusted second-order blind identification (WASOBI) is utilized to separate the jamming and target echo.
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10.1007/978-3-319-89620-5_8
4 considers a blind identification problem with prior knowledge about the input in the form of a linear time-invariant autonomous system.
4 considers a blind identification problem with prior knowledge about the input in the form of a linear time-invariant autonomous system.
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10.1016/J.ANIFEEDSCI.2019.114219
arundinaceus was under the same Operational Taxonomic Unit (OTU) as Phleum pratense (not present in the C3 sourced hay), so blind identification was initially wrong.
arundinaceus was under the same Operational Taxonomic Unit (OTU) as Phleum pratense (not present in the C3 sourced hay), so blind identification was initially wrong.
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10.1109/CISP-BMEI48845.2019.8965936
The results show that the second order blind identification (SOBI) algorithm is the best one to separate the BVP signal.
The results show that the second order blind identification (SOBI) algorithm is the best one to separate the BVP signal.
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10.1109/TWC.2018.2879941
Blind enumeration of the number of transmit antennas and blind identification of multiple-input multiple-output (MIMO) schemes are two pivotal steps in MIMO signal identification for both military and commercial applications.
Blind enumeration of the number of transmit antennas and blind identification of multiple-input multiple-output (MIMO) schemes are two pivotal steps in MIMO signal identification for both military and commercial applications.
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Keywords related to Blind
Blind Signal
Blind Decision
Blind Cavefish
Blind Bolt
Blind Cfo
Blind Crossover
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Blind Image
Blind Eye
Blind Mexican
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Blind Information
Blind Reconstruction
Blind Controlled
Blind Digital
Blind Motion
Blind Feeding
Blind Bolted Connectors
Blind Placement
Blind Area
Blind Alley
Blind Tee
Blind Modal
Blind Placebo Controlled
Blind Receiver
Blind Signature
Blind Patients
Blind Challenge
Blind Prediction
Blind Mole
Blind Restoration
Blind Compensation
Blind Adaptive
Blind Fault
Blind Super Resolution
Blind Comparative
Blind Injections
Blind Peer Review
Blind Users
Blind Bone
Blind Troglobitic
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Blind Spot
Blind Men
Blind Calibration
Blind Parameter
Blind Deconvolution
Blind Trial
Blind Photodetectors
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Keywords related to Identification
Facilitate Identification
Wireless Identification
Phenotype Identification
Materials Identification
Ligand Identification
Mimo Identification
Service Identification
Remote Identification
Isomer Identification
Mci Identification
Gland Identification
Stiffness Identification
Material Identification
Parametric Identification
Pattern Identification
Screening Identification
Task Identification
Numerical Identification
Organizational Identification
Timely Identification
Camera Identification
Correct Identification
Vessel Identification
Rna Identification
Fracture Identification
Biomarkers Identification
Children Identification
Part Identification
Qtl Identification
Structures Identification
Function Identification
Nonparametric Identification
Voice Identification
Employee Customer Identification
Boundary Identification
Frame Identification
Conditions Identification
Nerve Identification
Radiological Identification
Proteome Wide Identification
Genome Wide Identification
Selective Identification
Radiofrequency Identification
Region Identification
Classification Identification
Simultaneous Identification
Response Identification
Strain Identification
Patients Identification
Mechanism Identification
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