Se connecter

Bibliographies thématiques / Blind decorrelation

Littérature scientifique sur le sujet « Blind decorrelation »

Auteur : Grafiati

Publié le 10 mars 2023

Créez une référence correcte selon les styles APA, MLA, Chicago, Harvard et plusieurs autres

Choisissez une source :

Sommaire

Articles de revues
Thèses
Chapitres de livres
Actes de conférences

Consultez les listes thématiques d’articles de revues, de livres, de thèses, de rapports de conférences et d’autres sources académiques sur le sujet « Blind decorrelation ».

À côté de chaque source dans la liste de références il y a un bouton « Ajouter à la bibliographie ». Cliquez sur ce bouton, et nous générerons automatiquement la référence bibliographique pour la source choisie selon votre style de citation préféré : APA, MLA, Harvard, Vancouver, Chicago, etc.

Vous pouvez aussi télécharger le texte intégral de la publication scolaire au format pdf et consulter son résumé en ligne lorsque ces informations sont inclues dans les métadonnées.

Articles de revues sur le sujet "Blind decorrelation"

1

Tuzlukov, V. P. « Two approaches to multiuser detection over fading channels ». Doklady BGUIR 19, n^o 1 (23 février 2021) : 11–20. http://dx.doi.org/10.35596/1729-7648-2021-19-1-11-20.

Texte intégral

Résumé :

In this paper, two different receiver structures to multiuser detection that are appropriate for the code-division multiple-access systems with antenna arrays in fading channels are investigated and compared. We analyze and compare the performance of the two different multiuser detection structures for uplink or downlink channels. The number of elements of receiving antenna array may be limited in the downlink channel due to the small size of receivers. We assume a synchronous system, but it can be easily extended to an asynchronous system. The first approach is based on the distributed decorrelator where the signal decorrelation is performed by each receiving antenna element independently and decorrelated outputs are combined according to the maximum ratio. The second approach is the central decorrelator where the signal decorrelation is performed once collectively on the outputs from all elements of receiving antenna array. Both decorrelators provide the same performance in the additive white Gaussian noise channels. The distributed decorrelator provides the better performance in flat fading channels. We employ the decorrelator to demonstrate our results. The results discussed in the present paper can be extended to other configurations such as the blind adaptive space-time multiuser detection.

Styles APA, Harvard, Vancouver, ISO, etc.

2

Lapini, Alessandro, Tiziano Bianchi, Fabrizio Argenti et Luciano Alparone. « Blind Speckle Decorrelation for SAR Image Despeckling ». IEEE Transactions on Geoscience and Remote Sensing 52, n^o 2 (février 2014) : 1044–58. http://dx.doi.org/10.1109/tgrs.2013.2246838.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

3

Douglas, S. C., et A. Cichocki. « Neural networks for blind decorrelation of signals ». IEEE Transactions on Signal Processing 45, n^o 11 (1997) : 2829–42. http://dx.doi.org/10.1109/78.650109.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

4

Mei, Tiemin, et Fuliang Yin. « Blind separation of convolutive mixtures by decorrelation ». Signal Processing 84, n^o 12 (décembre 2004) : 2297–313. http://dx.doi.org/10.1016/j.sigpro.2004.07.024.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

5

Rui Wang, Jing Lu et Yue He. « Variable Step Size Algorithm for Adaptive Blind Decorrelation ». International Journal of Digital Content Technology and its Applications 7, n^o 6 (31 mars 2013) : 1209–16. http://dx.doi.org/10.4156/jdcta.vol7.issue6.138.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

6

Yin, Fuliang, Tiemin Mei et Jun Wang. « Blind-Source Separation Based on Decorrelation and Nonstationarity ». IEEE Transactions on Circuits and Systems I : Regular Papers 54, n^o 5 (mai 2007) : 1150–58. http://dx.doi.org/10.1109/tcsi.2007.895510.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

7

Chen, Guo Jun, et Han Ying Hu. « New Blind Adaptive Channel Estimation Schemes Based on OFDM Systems ». Advanced Materials Research 709 (juin 2013) : 370–73. http://dx.doi.org/10.4028/www.scientific.net/amr.709.370.

Texte intégral

Résumé :

Two new blind estimation schemes based on decorrelation LMS（DLMS）and time-domain orthogonal LMS（TDO-LMS） algorithms are proposed to solve the problem of convergence in the estimation scheme based on LMS algorithm in wireless mobile communication OFDM systems. These schemes are improved on the traditional LMS algorithm.The factor of TDO-LMS algorithm changes along with the power of signal ,and the decorrelation LMS removes the correlation of the signal.Two methods can get faster convergence and better estimation performance combining with alterable step in the channel estimation of OFDM systems.Simulation shows that the convergence of the schemes proposed is better than that in the channel estimation based on the traditional LMS algorithm obviously.

Styles APA, Harvard, Vancouver, ISO, etc.

8

Schobben, D. W. E., et P. W. Sommen. « A frequency domain blind signal separation method based on decorrelation ». IEEE Transactions on Signal Processing 50, n^o 8 (août 2002) : 1855–65. http://dx.doi.org/10.1109/tsp.2002.800417.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

9

Krstić, Vladimir R. « The blind decision feedback equalizer with the entropic : Leaky decorrelation algorithm ». Tehnika 70, n^o 1 (2015) : 105–11. http://dx.doi.org/10.5937/tehnika1501105k.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

10

Li, Jiahui. « The Study of Blind Source Separation Based on Sparsity and Decorrelation ». IOP Conference Series : Materials Science and Engineering 394 (7 août 2018) : 052019. http://dx.doi.org/10.1088/1757-899x/394/5/052019.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

Plus de sources

Thèses sur le sujet "Blind decorrelation"

1

Nessel, James Aaron. « Estimation of Atmospheric Phase Scintillation Via Decorrelation of Water Vapor Radiometer Signals ». University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1447701180.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

2

Wada, Ted S. « System approach to robust acoustic echo cancellation through semi-blind source separation based on independent component analysis ». Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44851.

Texte intégral

Résumé :

We live in a dynamic world full of noises and interferences. The conventional acoustic echo cancellation (AEC) framework based on the least mean square (LMS) algorithm by itself lacks the ability to handle many secondary signals that interfere with the adaptive filtering process, e.g., local speech and background noise. In this dissertation, we build a foundation for what we refer to as the system approach to signal enhancement as we focus on the AEC problem. We first propose the residual echo enhancement (REE) technique that utilizes the error recovery nonlinearity (ERN) to "enhances" the filter estimation error prior to the filter adaptation. The single-channel AEC problem can be viewed as a special case of semi-blind source separation (SBSS) where one of the source signals is partially known, i.e., the far-end microphone signal that generates the near-end acoustic echo. SBSS optimized via independent component analysis (ICA) leads to the system combination of the LMS algorithm with the ERN that allows for continuous and stable adaptation even during double talk. Second, we extend the system perspective to the decorrelation problem for AEC, where we show that the REE procedure can be applied effectively in a multi-channel AEC (MCAEC) setting to indirectly assist the recovery of lost AEC performance due to inter-channel correlation, known generally as the "non-uniqueness" problem. We develop a novel, computationally efficient technique of frequency-domain resampling (FDR) that effectively alleviates the non-uniqueness problem directly while introducing minimal distortion to signal quality and statistics. We also apply the system approach to the multi-delay filter (MDF) that suffers from the inter-block correlation problem. Finally, we generalize the MCAEC problem in the SBSS framework and discuss many issues related to the implementation of an SBSS system. We propose a constrained batch-online implementation of SBSS that stabilizes the convergence behavior even in the worst case scenario of a single far-end talker along with the non-uniqueness condition on the far-end mixing system. The proposed techniques are developed from a pragmatic standpoint, motivated by real-world problems in acoustic and audio signal processing. Generalization of the orthogonality principle to the system level of an AEC problem allows us to relate AEC to source separation that seeks to maximize the independence, hence implicitly the orthogonality, not only between the error signal and the far-end signal, but rather, among all signals involved. The system approach, for which the REE paradigm is just one realization, enables the encompassing of many traditional signal enhancement techniques in analytically consistent yet practically effective manner for solving the enhancement problem in a very noisy and disruptive acoustic mixing environment.

Styles APA, Harvard, Vancouver, ISO, etc.

3

Boudjenouia, Fouad. « Restauration d’images avec critères orientés qualité ». Thesis, Orléans, 2017. http://www.theses.fr/2017ORLE2031/document.

Texte intégral

Résumé :

Cette thèse concerne la restauration aveugle d’images (formulée comme un problème inverse mal-posé et mal-conditionné), en considérant particulièrement les systèmes SIMO. Dans un premier temps une technique d’identification aveugle de ce système où l’ordre du canal est inconnu (surestimé) est introduite. Nous introduisons d’abord une version simplifiée à coût réduit SCR de la méthode des relations croisées (CR). Ensuite, une version robuste R-SCR basée sur la recherche d’une solution parcimonieuse minimisant la fonction de coût CR est proposée. La restauration d’image est ensuite assurée par une nouvelle approche inspirée des techniques de décodage des signaux 1D et étendue ici aux cas de la restauration d’images en se basant sur une recherche arborescente efficace (algorithme ‘Stack’). Plusieurs améliorations de la méthode ‘Stack’ ont été introduites afin de réduire sa complexité et d’améliorer la qualité de restauration lorsque les images sont fortement bruitées. Ceci en utilisant une technique de régularisation et une approche d’optimisation all-at-once basée sur la descente du gradient qui permet de raffiner l’image estimée et mieux converger vers la solution optimale. Ensuite, les mesures de la qualité d’images sont utilisées comme fonctions de coûts (intégrées dans le critère global) et ce afin d’étudier leur potentiel pour améliorer les performances de restauration. Dans le contexte où l’image d’intérêt est corrompue par d’autres images interférentes, sa restauration nécessite le recours aux techniques de séparation aveugle de sources. Pour cela, une étude comparative de certaines techniques de séparation basées sur la propriété de décorrélation au second ordre et la parcimonie est réalisée
This thesis concerns the blind restoration of images (formulated as an ill-posed and illconditioned inverse problem), considering a SIMO system. Thus, a blind system identification technique in which the order of the channel is unknown (overestimated) is introduced. Firstly, a simplified version at reduced cost SCR of the cross relation (CR) method is introduced. Secondly, a robust version R-SCR based on the search for a sparse solution minimizing the CR cost function is proposed. Image restoration is then achieved by a new approach (inspired from 1D signal decoding techniques and extended here to the case of 2D images) based on an efficient tree search (Stack algorithm). Several improvements to the ‘Stack’ method have been introduced in order to reduce its complexity and to improve the restoration quality when the images are noisy. This is done using a regularization technique and an all-at-once optimization approach based on the gradient descent which refines the estimated image and improves the algorithm’s convergence towards the optimal solution. Then, image quality measurements are used as cost functions (integrated in the global criterion), in order to study their potential for improving restoration performance. In the context where the image of interest is corrupted by other interfering images, its restoration requires the use of blind sources separation techniques. In this sense, a comparative study of some separation techniques based on the property of second-order decorrelation and sparsity is performed

Styles APA, Harvard, Vancouver, ISO, etc.

4

XU, BIN. « A Blind Space-Time Decorrelating RAKE Receiver in a DS-CDMA System in Multipath Channels ». University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1078193785.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

5

« Novel self-decorrelation and fractional self-decorrelation pre-processing techniques to enhance the output SINR of single-user-type DS-CDMA detectors in blind space-time RAKE receivers ». 2002. http://library.cuhk.edu.hk/record=b5891142.

Texte intégral

Résumé :

Cheung Shun Keung.
Thesis (M.Phil.)--Chinese University of Hong Kong, 2002.
Includes bibliographical references (leaves 80-83).
Abstracts in English and Chinese.
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- The Problem --- p.1
Chapter 1.2 --- Overview of CDMA --- p.2
Chapter 1.3 --- Problems Encountered in Direct-Sequence (DS)CDMA --- p.3
Chapter 1.3.1 --- Multipath Fading Scenario in DS-CDMA Cellular Mo- bile Communication --- p.3
Chapter 1.3.2 --- Near-Far Problem --- p.4
Chapter 1.4 --- Delimitation and Significance of the Thesis --- p.5
Chapter 1.5 --- Summary --- p.7
Chapter 1.6 --- Scope of the Thesis --- p.8
Chapter 2 --- Literature Review of Blind Space-Time Processing in a wire- less CDMA Receiver --- p.9
Chapter 2.1 --- General Background Information --- p.9
Chapter 2.1.1 --- Time Model of K-User Chip-Synchronous CDMA --- p.9
Chapter 2.1.2 --- Dispersive Channel Modelling --- p.10
Chapter 2.1.3 --- Combination of K-user CDMA Time Model with the Slow Frequency-Selective Fading Channel Model to form a completed Chip-Synchronous CDMA Time Model --- p.13
Chapter 2.1.4 --- Spatial Channel Model with Antenna Array [9] --- p.15
Chapter 2.1.5 --- Joint Space-Time Channel Model in Chip-Synchronous CDMA --- p.19
Chapter 2.1.6 --- Challenges to Blind Space-Time Processing in a base- station CDMA Receiver --- p.23
Chapter 2.2 --- Literature Review of Single-User-Type Detectors used in Blind Space-Time DS-CDMA RAKE Receivers --- p.25
Chapter 2.2.1 --- A Common Problem among the Signal Processing Schemes --- p.28
Chapter 3 --- "Novel ""Self-Decorrelation"" Technique" --- p.29
Chapter 3.1 --- "Problem with ""Blind"" Space-Time RAKE Processing Using Single- User-Type Detectors" --- p.29
Chapter 3.2 --- "Review of Zoltowski & Ramos[10,11,12] Maximum-SINR Single- User-Type CDMA Blind RAKE Receiver Schemes" --- p.31
Chapter 3.2.1 --- Space-Time Data Model --- p.31
Chapter 3.2.2 --- The Blind Element-Space-Only (ESO) RAKE Receiver with Self-Decorrelation Pre-processing Applied --- p.32
Chapter 3.3 --- Physical Meaning of Self-Decorrelation Pre-processing --- p.35
Chapter 3.4 --- Simulation Results --- p.38
Chapter 4 --- """Fractional Self-Decorrelation"" Pre-processing" --- p.45
Chapter 4.1 --- The Blind Maximum-SINR RAKE Receivers in Chen et. al.[l] and Wong et. al.[2] --- p.45
Chapter 4.2 --- Fractional Self-Decorrelation Pre-processing --- p.47
Chapter 4.3 --- The Blind Element-Space-Only (ESO) RAKE Receiver with Fractional Self-Decorrelation Pre-processing Applied --- p.50
Chapter 4.4 --- Physical Meaning of Fractional Self-Decorrelation Pre-processing --- p.54
Chapter 4.5 --- Simulation Results --- p.55
Chapter 5 --- Complexity Analysis and Schematics of Proposed Techniques --- p.64
Chapter 5.1 --- Computational Complexity --- p.64
Chapter 5.1.1 --- Self-Decorrelation Applied in Element-Space-Only (ESO) RAKE Receiver --- p.64
Chapter 5.1.2 --- Fractional Self-Decorrelation Applied in Element-Space- Only (ESO) RAKE Receiver --- p.67
Chapter 5.2 --- Schematics of the Two Proposed Techniques --- p.69
Chapter 6 --- Summary and Conclusion --- p.74
Chapter 6.1 --- Summary of the Thesis --- p.74
Chapter 6.1.1 --- The Self-Decorrelation Pre-processing Technique --- p.75
Chapter 6.1.2 --- The Fractional Self-Decorrelation Pre-processing Tech- nique --- p.76
Chapter 6.2 --- Conclusion --- p.78
Chapter 6.3 --- Future Work --- p.78
Bibliography --- p.80
Chapter A --- Generalized Eigenvalue Problem --- p.84
Chapter A.1 --- Standard Eigenvalue Problem --- p.84
Chapter A.2 --- Generalized Eigenvalue Problem --- p.84

Styles APA, Harvard, Vancouver, ISO, etc.

6

LAPINI, ALESSANDRO. « Advanced multiresolution bayesian methods and sar image modelling for speckle removal ». Doctoral thesis, 2014. http://hdl.handle.net/2158/843707.

Texte intégral

Résumé :

SAR imaging systems are widely used for the observation of Earth surface. Despeckling methods based on Bayesian estimation in the Undecimated Wavelet Transform domain have been considered, as well as optimal image formats for despeckling, despeckling of correlated speckle noise and the problem of quality assessment for the despeckling of SAR images.

Styles APA, Harvard, Vancouver, ISO, etc.

7

Lee, Chih-Chien, et 李志堅. « Blind energy estimation for decorrelating decision-feedback CDMA multiuser detection using learning type stochastic approximations ». Thesis, 1996. http://ndltd.ncl.edu.tw/handle/05499243399646261757.

Texte intégral

Résumé :

碩士
國立交通大學
電信工程研究所
84
This paper investigates the application of linear reinforcement learning stochastic approximation to the blind adaptive energy estimation for a decorrelating decision-feedback (DDF) multiuser detector over synchronous CDMA radio channel in the presence of multiple access interference (MAI) and additive Gaussian noise. The decision feedback incorporated into the structure of linear decorrelating detector is able to significantly improve the weaker users' performance by cancelling the MAI from the stronger users. However, the DDF receiver requires knowledge of the received energies. In this paper, a new novel blind estimation mechanism is proposed to estimate all the users' energies using a stochastic approximation algorithm without training data. In order to increase the convergence speed of the energy estimation, a linear reinforcement learning technique is conducted to accelerate the stochastic approximation algorithms. Results show that our blind adaptation mechanism is able to accurately estimate all the users' energies even the users of DDF detector are not ranked properly. After performing the blind energy estimation and then re-ordering the users in a nonincreasing order, numerical simulations show that the DDF detector for the weakest user performs closely to the maximum likelihood detector, whose complexity grows exponentically with the number of users.

Styles APA, Harvard, Vancouver, ISO, etc.

Chapitres de livres sur le sujet "Blind decorrelation"

1

Wang, Fuxiang, et Jun Zhang. « Convolutive Blind Speech Separation by Decorrelation ». Dans Advances in Neuro-Information Processing, 737–44. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02490-0_90.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

2

Hosseini, Shahram, et Yannick Deville. « Blind Separation of Nonstationary Sources by Spectral Decorrelation ». Dans Independent Component Analysis and Blind Signal Separation, 279–86. Berlin, Heidelberg : Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_36.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

3

Karvanen, Juha, et Toshihisa Tanaka. « Temporal Decorrelation as Preprocessing for Linear and Post-nonlinear ICA ». Dans Independent Component Analysis and Blind Signal Separation, 774–81. Berlin, Heidelberg : Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_98.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

4

Wang, Rui, et Jing Lu. « A Gradient-based Variable Step Size Algorithm Based on Blind Decorrelation ». Dans Lecture Notes in Electrical Engineering, 63–70. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40633-1_9.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

5

Saylani, Hicham, Shahram Hosseini et Yannick Deville. « Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation ». Dans Independent Component Analysis and Signal Separation, 322–29. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00599-2_41.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

6

Ono, Nobutaka, et Shigeki Sagayam. « Crystal-like Symmetric Sensor Arrangements for Blind Decorrelation of Isotropic Wavefield ». Dans Signal Processing. InTech, 2010. http://dx.doi.org/10.5772/8524.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

Actes de conférences sur le sujet "Blind decorrelation"

1

Ou, Shifeng, Xiaohui Zhao et Ying Gao. « Variable Step Size Technique for Adaptive Blind Decorrelation ». Dans Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007). IEEE, 2007. http://dx.doi.org/10.1109/snpd.2007.196.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

2

Ou, Shifeng, Xiaohui Zhao et Ying Gao. « Variable Step Size Technique for Adaptive Blind Decorrelation ». Dans Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007). IEEE, 2007. http://dx.doi.org/10.1109/snpd.2007.564.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

3

Wang, Yongchuan, et Zili Chen. « Blind fractionally spaced equalizer based on output decorrelation ». Dans Sixth International Symposium on Instrumentation and Control Technology : Signal Analysis, Measurement Theory, Photo-Electronic technology, and Artificial Intelligence, sous la direction de Jiancheng Fang et Zhongyu Wang. SPIE, 2006. http://dx.doi.org/10.1117/12.716941.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

4

Sica, F., L. Alparone, F. Argenti, G. Fornaro, A. Lapini et D. Reale. « Benefits of blind speckle decorrelation for InSAR processing ». Dans SPIE Remote Sensing, sous la direction de Claudia Notarnicola, Simonetta Paloscia et Nazzareno Pierdicca. SPIE, 2014. http://dx.doi.org/10.1117/12.2068717.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

5

Yang, Jun-an, Xuefan He et Yunxiao Jiang. « A Fast Blind Deconvolution Algorithm Using Decorrelation and Block Matrix ». Dans Third International Conference on Natural Computation (ICNC 2007). IEEE, 2007. http://dx.doi.org/10.1109/icnc.2007.21.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

6

Sun, Lijun, et Ying He. « Novel Blind Channel Equalization Iterative Algorithm Based on Decorrelation Method ». Dans 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.333.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

7

Ono, Nobutaka, Nobutaka Ito et Shigeki Sagayama. « Five classes of crystal arrays for blind decorrelation of diffuse noise ». Dans 2008 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2008. http://dx.doi.org/10.1109/sam.2008.4606844.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

8

Feng, Fangchen, et Matthieu Kowalski. « An unified approach for blind source separation using sparsity and decorrelation ». Dans 2015 23rd European Signal Processing Conference (EUSIPCO). IEEE, 2015. http://dx.doi.org/10.1109/eusipco.2015.7362681.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

9

Cavalcanti, F. R. P., J. M. T. Romano et A. L. Brandao. « Least-squares CMA with decorrelation for fast blind multiuser signal separation ». Dans 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.760645.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

10

Li, Zhijun, Jianping An, Lei Sun et Miao Yang. « A Blind Source Separation Algorithm Based on Whitening and Non-linear Decorrelation ». Dans 2010 Second International Conference on Computer Modeling and Simulation (ICCMS). IEEE, 2010. http://dx.doi.org/10.1109/iccms.2010.123.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

Nous offrons des réductions sur tous les plans premium pour les auteurs dont les œuvres sont incluses dans des sélections littéraires thématiques. Contactez-nous pour obtenir un code promo unique!