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Performance Comparison Of The Blind Multi Channel Frequency Domain Normalized Lms And Variable Step-Size Lms With Noise
2007
Zenodo
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Publication in the conference proceedings of EUSIPCO, Poznan, Poland, 2007 ...
A variable step size multichannel frequency-domain LMS (VSS-MCFLMS) algorithm has been reported in [6] which optimizes the performance of the algorithm in each iteration in order to achieve minimum misalignment ...
The normalized multichannel frequency-domain LMS (NMCFLMS) has been suggested as an efficient and effective method for BCI [4] . ...
doi:10.5281/zenodo.40247
fatcat:vhvxkboio5evvhtnmx676he66m
A New Step Size Control Technique for Blind and Non-Blind Equalization Algorithms
2013
Radioengineering
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A new variable step size (VSS) control technique employing cross correlation between channel output and error signal has been proposed as a solution to the problem of slow convergence of blind and non-blind ...
Computer simulations have been performed to verify the performance of the proposed method in frequency selective Rayleigh fading channels. ...
Fig. 4 . 4 Comparison of the BER performances of the blind and non-blind adaptive channel equalizers. ...
doaj:4e6b43a1d2364e388d30f4cf6cbcde78
fatcat:pqcaordq5rehfoxega4kbq4v64
A novel variable step size constant modulus algorithm based on autocorrelation of error signal for blind equalization
2011
2011 34th International Conference on Telecommunications and Signal Processing (TSP)
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Computer simulations have been performed to illustrate the performance of the proposed method in simulated frequency selective Rayleigh fading channels and experimental real communication channels. ...
A novel enhanced variable step size CMA algorithm (VSS-CMA) based on autocorrelation of error signal has been proposed to improve the weakness of CMA for application to blind equalization in this paper ...
Fig. 3 . 3 Comparison of the MSE performances of the blind adaptive channel equalizers.
Fig. 4 . 4 Comparison of the coded BER performances of the blind adaptive channel equalizers. ...
doi:10.1109/tsp.2011.6043680
dblp:conf/tsp/DemirO11
fatcat:j4osmcilpnhp5iynl3rqtwoiqi
Collaborative Blind Equalization for Time- Varying OFDM Applications Enabled by Normalized Least Mean and Recursive Square Methodologies
2020
IEEE Access
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To further enhance the equalization performance of time-varying OFDM systems, which is typically with massive calculation, a collaborative blind equalization is proposed in this work, which is able to ...
INDEX TERMS Blind equalization, normalized least mean square (NLMS), orthogonal frequency division modulation (OFDM), recursive least square (RLS), time-varying channel. ...
Meanwhile, to evaluate error performance of the LM-RS method more convincingly and reasonably, the popular variable step-size NLMS (VSS-NLMS) and hierarchical RLS (HRLS) blind equalization algorithms, ...
doi:10.1109/access.2020.2999387
fatcat:j5wr3zvwxjd5reolycyt2oaqaa
SGD Frequency-Domain Space-Frequency Semiblind Multiuser Receiver with an Adaptive Optimal Mixing Parameter
2013
Radioengineering
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A novel stochastic gradient descent frequency-domain (FD) space-frequency (SF) semiblind multiuser receiver with an adaptive optimal mixing parameter is proposed to improve performance of FD semiblind ...
AS) LMS semiblind based with a fixed mixing parameter and conventional FD SF AS-LMS training-based multiuser receivers in the MSE, SER and signal to interference plus noise ratio in both static and dynamic ...
Acknowledgements This work was supported by the Thailand Research Fund (TRF) under Grant MRG5080027. ...
doaj:7a2f12b48c4a4639899199dd6a744317
fatcat:myo6xswcmzgzvhdmhh4bjt2ikm
Dereverberation Based on Spectral Subtraction by Multi-channel LMS Algorithm for Hands-free Speech Recognition
[chapter]
2012
Modern Speech Recognition Approaches with Case Studies
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Variable step-size unconstrained multi-channel LMS algorithm in time domain The cost function J(t + 1) at time t + 1 diminishes and its gradient with respect toĥ(t) can be approximated as ∆J(t + 1) ≈ 2R ...
There are various methods to minimize the cost function J, for example, constrained Multi-Channel LMS (MCLMS) algorithm, constrained Multi-Channel Newton (MCN) algorithm and Variable Step-Size Unconstrained ...
doi:10.5772/48430
fatcat:lgn5ql2sircgfdmmhpdfpdhywe
Adaptive multi-channel least mean square and Newton algorithms for blind channel identification
2002
Signal Processing
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The problem of identifying a single-input multiple-output FIR system without a training signal, the so-called blind system identiÿcation, is addressed and two multi-channel adaptive approaches, least mean ...
The corresponding cost (error) function is easy to manipulate and facilitates the use of adaptive ÿltering methods for an e cient blind channel identiÿcation scheme. ...
Juang and D.R. Morgan for their constructive comments and suggestions that have improved the clarity of this paper. ...
doi:10.1016/s0165-1684(02)00247-5
fatcat:vzoh7rkahjcxhel5e4irs2vxzm
On Acoustic Channel Identification In Multi-Microphone Systems Via Adaptive Blind Signal Enhancement
2013
Zenodo
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Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco, 2013 ...
The additional inverse part in (15) represents a frequency-dependent normalization (or single-channel correction) of the multi-channel PCA part. ...
NFPM comparison of BCI performance at SNR=10 dB. ...
doi:10.5281/zenodo.43500
fatcat:oojcxykqtrfr7gvt5tq26soiwa
Enhanced blind maximum ratio combining using channel tap masking for broadcasting applications
2013
2013 IEEE Third International Conference on Consumer Electronics ¿ Berlin (ICCE-Berlin)
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In this work, we propose a new algorithm to exploit the communication channel sparseness via channel tap masking for blind channel identification using multi-channel frequency least mean squares algorithm ...
In order to correctly assess the performance of MCFLMS in the context of blind maximum ratio combining (BMRC), we propose a new assessment criterion that is independent of inherent channel estimation ambiguities ...
In [12] , the authors derive an expression for an optimal step size blind multi-channel LMS in the Wiener sense. ...
doi:10.1109/icce-berlin.2013.6697967
dblp:conf/icce-berlin/EitelSS13
fatcat:dxutkszdzfgcxf5dm24a6zxjee
Computationally efficient approaches for blind adaptive beamforming in SIMO-OFDM systems
2009
2009 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing
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and n is the step size of the weight optimization. ...
As demonstrated in [10], the performance of the CMA strongly depends on the selected value of step size. ...
doi:10.1109/pacrim.2009.5291364
fatcat:snw6zubibnftfdwcott2z6yr4m
Meta-AF: Meta-Learning for Adaptive Filters
[article]
2022
arXiv
pre-print
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, blind equalization, multi-channel dereverberation, and beamforming. ...
For each application, we compare against common baselines and/or current state-of-the-art methods and show we can learn high-performing adaptive filters that operate in real-time and, in most cases, significantly ...
The LMS update is ∆ k [τ ] = −λ∇ k [τ ], (12) where λ is the step-size and ∇ k [τ ] is the gradient of the ISE. ...
arXiv:2204.11942v1
fatcat:h7o2ga6ddzfpnl3jcgaqpbemjy
Conventional and Subspace Algorithms for Mobile Source Detection and Radiation Formation
2021
Traitement du signal
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Several methods namely Least Mean Square, Griffiths Method, Variable Step Size Griffiths and Recursive Least Square are used to form the main beam for the user detected by the direction of arrival algorithms ...
Novelty/improvements: In order to take further the research on enhancing the resolution and having a higher convergence rate with reasonable step size, this paper presents the well-known conventional and ...
Variable step size Griffiths The variable step size Griffiths (VSSG) makes use of multiple factors to compute high convergent phase values. ...
doi:10.18280/ts.380114
fatcat:ijvew76pr5eibh3bxtw3rdvpne
MC-CDMA System Identification and Equalization Using the LMS Algorithm and Takagi-Sugeno Fuzzy System
2013
IFAC Proceedings Volumes
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The identification problem is performed using the Least Mean Squares (LMS) algorithm and the Takagi-Sugueno (TS) fuzzy system. ...
The comparison between these techniques, for the channel identification, will be made for different Signal to Noise Ratios (SNR). ...
w(n + 1) = w(n) + 1 2 µ[−∇(E{e 2 (n)})] (11) Where µ is the step-size parameter and controls the convergence characteristics of the LMS algorithm; e 2 (n) is the mean square error between the beamformer ...
doi:10.3182/20130703-3-fr-4038.00027
fatcat:i672aouelbfe5bmtfoegaubaii
A survey on active noise control techniques – Part I: Linear systems
[article]
2021
arXiv
pre-print
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Furthermore, some novel methods and applications of ANC emerging in the past decade are summarized. Finally, future research challenges regarding the ANC technique are discussed. ...
Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic or electromechanical systems. ...
Acknowledgment The authors would like to thank the associate editor and the anonymous referees for their valuable comments.
References ...
arXiv:2110.00531v1
fatcat:zehdcbafh5d5rh6zldeo6u66du
Ultrafast and low overhead training symbol based channel estimation in coherent M-QAM single-carrier transmission systems
2012
Optics Express
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Also, the tolerance of the proposed TS-EST algorithm to laser phase noise and fiber nonlinearity is experimentally verified. ...
(TS-LMS) algorithm and results show that the proposed TS-EST algorithm provides the same steady-state BER with a superior convergence speed. ...
We used step sizes of 1 × 10 −3 , 1 × 10 −3 and 4 × 10 −4 for TS-LMS, CMA and DD-LMS, respectively. ...
doi:10.1364/oe.20.00b171
pmid:23262849
fatcat:ugbix7zz75d4hlkakcsswlf7ou
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