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Journal articles on the topic 'Decorrelating'

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Author: Grafiati

Published: 4 June 2021

Last updated: 28 January 2023

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1

Lombardini, Fabrizio, and Francesco Cai. "Generalized-Capon Method for Diff-Tomo SAR Analyses of Decorrelating Scatterers." Remote Sensing 11, no. 4 (February 18, 2019): 412. http://dx.doi.org/10.3390/rs11040412.

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In synthetic aperture radar (SAR) remote sensing, Differential Tomography (Diff-Tomo) is developing as a powerful crossing of the mature Differential SAR Interferometry and the emerged 3D SAR Tomography. Diff-Tomo produces advanced 4D (3D+Time) SAR imaging capabilities, extensively applied to urban deformation monitoring. More recently, it has been shown that, through Diff-Tomo, identifying temporal spectra of multiple height-distributed decorrelating scatterers, the important decorrelation-robust forest Tomography functionality is possible. To loosen application constraints of the related main experimented full model-based processing, and develop other functionalities, this work presents an adaptive, just semi-parametric, generalized-Capon Diff-Tomo method, first conceived at University of Pisa in 2013, for joint extraction of height and dynamical information of natural distributed (volumetric) scatterers, with its formalization and a series of insights. Particular reference is given to the important functionality of the separation of different decorrelation mechanisms in forest layers. Representative simulated and P-band forest data sample results are also shown. The new Diff-Tomo method is getting a flexible and rich decorrelation-robust Tomography functionality, and is able to profile height-varying temporal decorrelation, for significantly distributed scatterers.

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2

Lippert, Th, B. Allés, G. Bali, M. D'Elia, A. Di Giacomo, N. Eicker, S. Güsken, et al. "Decorrelating topology with HMC." Nuclear Physics B - Proceedings Supplements 73, no. 1-3 (March 1999): 521–23. http://dx.doi.org/10.1016/s0920-5632(99)85124-x.

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3

Canfield-Dafilou, Elliot K., and Jonathan S. Abel. "Allpass decorrelating filter design and evaluation." Journal of the Acoustical Society of America 143, no. 3 (March 2018): 1933. http://dx.doi.org/10.1121/1.5036319.

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4

Hamilton, A. J. S., and M. Tegmark. "Decorrelating the power spectrum of galaxies." Monthly Notices of the Royal Astronomical Society 312, no. 2 (February 21, 2000): 285–94. http://dx.doi.org/10.1046/j.1365-8711.2000.03074.x.

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5

Novikov, L. V. "Decorrelating scaling functions for wavelet transformations." Journal of Communications Technology and Electronics 51, no. 6 (June 2006): 663–69. http://dx.doi.org/10.1134/s1064226906060076.

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6

Baykas, Tuncer, Mohamed Siala, and Abbas Yongacoglu. "Generalized decorrelating discrete-time rake receiver." IEEE Transactions on Wireless Communications 6, no. 12 (December 2007): 4268–74. http://dx.doi.org/10.1109/twc.2007.060392.

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7

Van Heeswyk, Frank, D. D. Falconer, and A. U. H. Sheikh. "Decorrelating detectors for quasi-synchronous CDMA." Wireless Personal Communications 3, no. 1-2 (March 1996): 129–47. http://dx.doi.org/10.1007/bf00333927.

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8

Boyd, G., B. Allés, M. D'Elia, A. Di Giacomo, and E. Vicari. "Decorrelating the topology in full QCD." Nuclear Physics B - Proceedings Supplements 53, no. 1-3 (February 1997): 544–46. http://dx.doi.org/10.1016/s0920-5632(96)00713-x.

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9

Sollich, Peter. "Trap models with slowly decorrelating observables." Journal of Physics A: Mathematical and General 39, no. 11 (March 1, 2006): 2573–97. http://dx.doi.org/10.1088/0305-4470/39/11/004.

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10

Mitra, U., and H. V. Poor. "Adaptive decorrelating detectors for CDMA systems." Wireless Personal Communications 2, no. 4 (1996): 415–40. http://dx.doi.org/10.1007/bf01099344.

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11

Mitra, U., and H. V. Poor. "Adaptive decorrelating detectors for CDMA systems." Wireless Personal Communications 2, no. 3 (1995): 265–90. http://dx.doi.org/10.1007/bf01099636.

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12

Kamal Iqbal, Nur Hidayah, Nooryusmiza Yusoff, and Lemma Dendena Tufa. "Detection of Model Parameter Mismatch Using Simplified Partial Correlation Analysis for Closed-Loop System." Applied Mechanics and Materials 625 (September 2014): 398–401. http://dx.doi.org/10.4028/www.scientific.net/amm.625.398.

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Partial correlation analysis is used in detecting the model-plant mismatch as it will give accurate location of mismatched submodel. In this work of model parameter mismatch detection in closed-loop system, a simplified method of partial correlation analysis is proposed. In this method, the identification step for input sensitivities relating setpoints and manipulated variables,Sru, is omitted due the ability of ARX model structure to capture the dynamic of the input-output data even though in the presence of unmeasured disturbance in closed-loop system. The ARX model structure is implemented in decorrelating the observed data from the correlated inputs. By using the ARX model, the mismatch is detected at the precise location compared to the detection using FIR decorrelation model.

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13

Srinivasa, Rao V., Kumar P. Vinay, S. Balaji, Khan Habibulla, and Kumar T. Anil. "Robust Multiuser Detection in Synchronous DS-CDMA System with MRC Receive Diversity over Nakagami-m Fading Channel." Advanced Engineering Forum 4 (June 2012): 43–50. http://dx.doi.org/10.4028/www.scientific.net/aef.4.43.

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This paper presents the robust multiuser detection in synchronous direct sequence-code division multiple access (DS-CDMA) systems with Maximal Ratio Combiner (MRC) receive diversity over frequency-nonselective, slowly fading Nakagami-m channels in a non-Gaussian environment. Average probability of error is derived for decorrelating detector over single path Nakagami-m fading channel. A new M-estimator proposed to robustify the detector is studied and analyzed. Simulation results show that the new M-estimator outperforms linear decorrelating detector, the Huber, and the Hampel estimator based detectors.

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14

Polloreno, Anthony M., and Kevin C. Young. "Robustly decorrelating errors with mixed quantum gates." Quantum Science and Technology 7, no. 2 (January 10, 2022): 025004. http://dx.doi.org/10.1088/2058-9565/ac4423.

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Abstract Coherent errors in quantum operations are ubiquitous. Whether arising from spurious environmental couplings or errors in control fields, such errors can accumulate rapidly and degrade the performance of a quantum circuit significantly more than an average gate fidelity may indicate. As Hastings (2017 Quantum Inf. Comput. 17 488) and Campbell (2017 Phys. Rev. A 95 042306) have recently shown, by replacing the deterministic implementation of a quantum gate with a randomized ensemble of implementations, one can dramatically suppress coherent errors. Our work begins by reformulating the results of Hastings and Campbell as a quantum optimal control problem. We then discuss a family of convex programs able to solve this problem, as well as a set of secondary objectives designed to improve the performance, implementability, and robustness of the resulting mixed quantum gates. Finally, we implement these mixed quantum gates on a superconducting qubit and discuss randomized benchmarking results consistent with a marked reduction in the coherent error.

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15

Siala, Mohamed. "Maximuma posteriori decorrelating discrete-time rake receiver." Annales des Télécommunications 59, no. 3-4 (March 2004): 374–411. http://dx.doi.org/10.1007/bf03179703.

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16

Zhang, Gaonan, Guoan Bi, and Alex Chichung Kot. "Intersymbol decorrelating detector for asynchronous CDMA systems." Journal of Communications and Networks 9, no. 1 (March 2007): 28–33. http://dx.doi.org/10.1109/jcn.2007.6182810.

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17

Sippy, T., and R. Yuste. "Decorrelating Action of Inhibition in Neocortical Networks." Journal of Neuroscience 33, no. 23 (June 5, 2013): 9813–30. http://dx.doi.org/10.1523/jneurosci.4579-12.2013.

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18

Savković, Borislav. "Decorrelating Properties of Chromatic Derivative Signal Representations." IEEE Signal Processing Letters 17, no. 8 (August 2010): 770–73. http://dx.doi.org/10.1109/lsp.2010.2053924.

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19

Chen, Hsiao-Hwa. "Quasi-decorrelating detector: a non-matrix inversion based decorrelating detector with near-far resistance and complexity trade-off." European Transactions on Telecommunications 16, no. 4 (2005): 273–89. http://dx.doi.org/10.1002/ett.1009.

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20

Palmer, Alan R., Dan Jiang, and David McAlpine. "Desynchronizing Responses to Correlated Noise: A Mechanism for Binaural Masking Level Differences at the Inferior Colliculus." Journal of Neurophysiology 81, no. 2 (February 1, 1999): 722–34. http://dx.doi.org/10.1152/jn.1999.81.2.722.

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Desynchronizing responses to correlated noise: a mechanism for binaural masking level differences at the inferior colliculus. We examined the adequacy of decorrelation of the responses to dichotic noise as an explanation for the binaural masking level difference (BMLD). The responses of 48 low-frequency neurons in the inferior colliculus of anesthetized guinea pigs were recorded to binaurally presented noise with various degrees of interaural correlation and to interaurally correlated noise in the presence of 500-Hz tones in either zero or π interaural phase. In response to fully correlated noise, neurons’ responses were modulated with interaural delay, showing quasiperiodic noise delay functions (NDFs) with a central peak and side peaks, separated by intervals roughly equivalent to the period of the neuron’s best frequency. For noise with zero interaural correlation (independent noises presented to each ear), neurons were insensitive to the interaural delay. Their NDFs were unmodulated, with the majority showing a level of activity approximately equal to the mean of the peaks and troughs of the NDF obtained with fully correlated noise. Partial decorrelation of the noise resulted in NDFs that were, in general, intermediate between the fully correlated and fully decorrelated noise. Presenting 500-Hz tones simultaneously with fully correlated noise also had the effect of demodulating the NDFs. In the case of tones with zero interaural phase, this demodulation appeared to be a saturation process, raising the discharge at all noise delays to that at the largest peak in the NDF. In the majority of neurons, presenting the tones in π phase had a similar effect on the NDFs to decorrelating the noise; the response was demodulated toward the mean of the peaks and troughs of the NDF. Thus the effect of added tones on the responses of delay-sensitive inferior colliculus neurons to noise could be accounted for by a desynchronizing effect. This result is entirely consistent with cross-correlation models of the BMLD. However, in some neurons, the effects of an added tone on the NDF appeared more extreme than the effect of decorrelating the noise, suggesting the possibility of additional inhibitory influences.

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21

Mengkang Peng, M. F. Sasabo, Hingjie Jay Guo, O. J. Downing, and S. K. Barton. "Frame-extended linear decorrelating detector for asynchronous CDMA." IEEE Transactions on Vehicular Technology 49, no. 5 (2000): 1918–27. http://dx.doi.org/10.1109/25.892594.

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22

Ramprasad, S., N. R. Shanbhag, and I. N. Hajj. "Decorrelating (DECOR) transformations for low-power digital filters." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 46, no. 6 (June 1999): 776–88. http://dx.doi.org/10.1109/82.769785.

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23

Hmidat, A. M., B. S. Sharif, and W. L. Woo. "Fuzzy decorrelating detector for non-Gaussian CDMA channel." Electronics Letters 40, no. 15 (2004): 948. http://dx.doi.org/10.1049/el:20040595.

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24

Lang Tong, A. van der Veen, P. Dewilde, and Youngchul Sung. "Blind decorrelating rake receivers for long-code WCDMA." IEEE Transactions on Signal Processing 51, no. 6 (June 2003): 1642–55. http://dx.doi.org/10.1109/tsp.2003.811230.

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25

Martínez-García, Mauricio. "Quantifying filter bank decorrelating performance via matrix diagonality." Signal Processing 89, no. 1 (January 2009): 116–20. http://dx.doi.org/10.1016/j.sigpro.2008.07.019.

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26

Wijayasuriya, S. S. H., G. H. Norton, and J. P. McGeehan. "Sliding window decorrelating algorithm for DS-CDMA receivers." Electronics Letters 28, no. 17 (1992): 1596. http://dx.doi.org/10.1049/el:19921016.

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27

Ulukus, S., and R. D. Yates. "A blind adaptive decorrelating detector for CDMA systems." IEEE Journal on Selected Areas in Communications 16, no. 8 (1998): 1530–41. http://dx.doi.org/10.1109/49.730459.

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28

Boujemâa, Hatem, and Mohamed Siala. "Maximuma posteriori decorrelating receiver for MC-CDMA systems." European Transactions on Telecommunications 17, no. 1 (January 2006): 151–55. http://dx.doi.org/10.1002/ett.1087.

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29

Teunissen, P. J. G. "On the GPS widelane and its decorrelating property." Journal of Geodesy 71, no. 9 (August 13, 1997): 577–87. http://dx.doi.org/10.1007/s001900050126.

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30

Brown, Tyler, and Mostafa Kaveh. "A decorrelating detector for use with antenna arrays." International Journal of Wireless Information Networks 2, no. 4 (October 1995): 239–46. http://dx.doi.org/10.1007/bf01538148.

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31

Everson, Richard, and Stephen Roberts. "Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach." Neural Computation 11, no. 8 (November 1, 1999): 1957–83. http://dx.doi.org/10.1162/089976699300016043.

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Independent component analysis (ICA) finds a linear transformation to variables that are maximally statistically independent. We examine ICA and algorithms for finding the best transformation from the point of view of maximizing the likelihood of the data. In particular, we discuss the way in which scaling of the unmixing matrix permits a “static” nonlinearity to adapt to various marginal densities. We demonstrate a new algorithm that uses generalized exponential functions to model the marginal densities and is able to separate densities with light tails. We characterize the manifold of decorrelating matrices and show that it lies along the ridges of high-likelihood unmixing matrices in the space of all unmixing matrices. We show how to find the optimum ICA matrix on the manifold of decorrelating matrices, and as an example we use the algorithm to find independent component basis vectors for an ensemble of portraits.

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32

Rupp, M. "A family of adaptive filter algorithms with decorrelating properties." IEEE Transactions on Signal Processing 46, no. 3 (March 1998): 771–75. http://dx.doi.org/10.1109/78.661344.

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33

Weihua Ye and P. K. Varshney. "A two-stage decorrelating detector for DS/CDMA systems." IEEE Transactions on Vehicular Technology 50, no. 2 (March 2001): 465–79. http://dx.doi.org/10.1109/25.923058.

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34

Miki, Y., and M. Sawahashi. "Preselection-type coherent decorrelating detector for asynchronous DS-CDMA." Electronics Letters 31, no. 19 (September 14, 1995): 1636–37. http://dx.doi.org/10.1049/el:19951123.

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35

Riccardi, Enrico, Oda Dahlen, and Titus S. van Erp. "Fast Decorrelating Monte Carlo Moves for Efficient Path Sampling." Journal of Physical Chemistry Letters 8, no. 18 (September 6, 2017): 4456–60. http://dx.doi.org/10.1021/acs.jpclett.7b01617.

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36

Dang, Quang Hieu, and Alle-Jan van der Veen. "A Decorrelating Multiuser Receiver for Transmit-Reference UWB Systems." IEEE Journal of Selected Topics in Signal Processing 1, no. 3 (October 2007): 431–42. http://dx.doi.org/10.1109/jstsp.2007.906649.

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37

Yingbo Hua, Senjian An, and Yong Xiang. "Blind identification of FIR MIMO channels by decorrelating subchannels." IEEE Transactions on Signal Processing 51, no. 5 (May 2003): 1143–55. http://dx.doi.org/10.1109/tsp.2003.810295.

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38

Paris, B. P. "Finite precision decorrelating receivers for multiuser CDMA communication systems." IEEE Transactions on Communications 44, no. 4 (April 1996): 496–507. http://dx.doi.org/10.1109/26.489096.

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39

Ghauri, I., and R. A. Iltis. "Capacity of the linear decorrelating detector for QS-CDMA." IEEE Transactions on Communications 45, no. 9 (1997): 1039–42. http://dx.doi.org/10.1109/26.623067.

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40

Nigam, I., and R. K. Mallik. "A Joint Performance Measure for the Decorrelating Multiuser Detector." IEEE Transactions on Wireless Communications 3, no. 4 (July 2004): 1024–30. http://dx.doi.org/10.1109/twc.2004.830820.

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41

Kegen Yu and I. Oppermann. "Performance of decorrelating receivers in multipath Rician fading channels." IEEE Transactions on Wireless Communications 5, no. 8 (August 2006): 2009–16. http://dx.doi.org/10.1109/twc.2006.1687713.

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42

Zhang, Gaonan, Guoan Bi, and Qian Yu. "Blind intersymbol decorrelating detector for asynchronous multicarrier CDMA system." Signal Processing 85, no. 8 (August 2005): 1511–22. http://dx.doi.org/10.1016/j.sigpro.2005.02.006.

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43

Wijayasuriya, S. S. H., J. P. McGeehan, and G. H. Norton. "RAKE decorrelating receiver for DS-CDMA mobile radio networks." Electronics Letters 29, no. 4 (1993): 395. http://dx.doi.org/10.1049/el:19930265.

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44

Komorowski, Tomasz, Alexei Novikov, and Lenya Ryzhik. "Evolution of particle separation in slowly decorrelating velocity fields." Communications in Mathematical Sciences 10, no. 3 (2012): 767–86. http://dx.doi.org/10.4310/cms.2012.v10.n3.a3.

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45

Gu, Yu, and Lenya Ryzhik. "The random Schrödinger equation: Slowly decorrelating time-dependent potentials." Communications in Mathematical Sciences 15, no. 2 (2017): 359–78. http://dx.doi.org/10.4310/cms.2017.v15.n2.a4.

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46

KIMURA, Y., K. SHIBATA, T. SAKAI, and A. NAKAGAKI. "A Blind Adaptive Decorrelating Detector Using Spatial Signature Estimation." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E89-A, no. 10 (October 1, 2006): 2686–89. http://dx.doi.org/10.1093/ietfec/e89-a.10.2686.

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47

van Heeswyk, F., D. D. Falconer, and A. U. H. Sheikh. "A delay independent decorrelating detector for quasi-synchronous CDMA." IEEE Journal on Selected Areas in Communications 14, no. 8 (1996): 1619–26. http://dx.doi.org/10.1109/49.539416.

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48

Yu, Shiang-Hwua. "Feedback Dithering for Decorrelating Quantization Noise and Enhancing SNDR." IEEE Transactions on Control Systems Technology 20, no. 3 (May 2012): 621–31. http://dx.doi.org/10.1109/tcst.2011.2141131.

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49

Krenz, Rafał. "On the application of decorrelating receiver to multicode system." European Transactions on Telecommunications 20, no. 6 (October 2009): 625–30. http://dx.doi.org/10.1002/ett.1375.

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50

Urushihara, Tomoya, and Hideichi Sasaoka. "Multiuser detection with decorrelating detector for asynchronous CDMA systems." Electronics and Communications in Japan (Part I: Communications) 88, no. 1 (2004): 32–43. http://dx.doi.org/10.1002/ecja.20139.

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