Relevant bibliographies by topics / Decorrelation noise

Academic literature on the topic 'Decorrelation noise'

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Published: 25 May 2024

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Journal articles on the topic "Decorrelation noise"

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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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Tuzlukov, V. P. "Two approaches to multiuser detection over fading channels." Doklady BGUIR 19, no. 1 (February 23, 2021): 11–20. http://dx.doi.org/10.35596/1729-7648-2021-19-1-11-20.

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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.
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Jiang, Guoqing, Chao Sun, and Lei Xie. "Diagonal Denoising for Spatially Correlated Noise Based on Diagonalization Decorrelation in Underwater Radiated Noise Measurement." Journal of Marine Science and Engineering 10, no. 4 (April 5, 2022): 502. http://dx.doi.org/10.3390/jmse10040502.

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In underwater radiated noise measurement using a vertical linear array, a diagonalization-decorrelation-based diagonal denoising method is proposed to improve the denoising effect for spatially correlated noise. Firstly, the ambient noise cross-spectral matrix is measured without the radiated noise source. Subsequently, the eigenvector matrix of the ambient noise cross-spectral matrix is utilized to implement a unitary transformation for the received data, which eliminates the correlation of the received noise and transforms the received noise cross-spectral matrix into a diagonal matrix, then the noise components are removed by diagonal denoising. Finally, the denoised cross-spectral matrix is used to estimate the power of the radiated noise by beamforming. Consequently, the influence of spatially correlated noise on radiated noise measurement is reduced. The effectiveness of the proposed method is validated and compared with the diagonal denoising method and the whitening-decorrelation-based diagonal denoising method via numerical simulations and experimental data. Under the ideal condition, the noise reduction performances of the proposed method and the whitening-decorrelation-based diagonal denoising method are equal and better than that of the diagonal denoising method. In practice, the number of snapshots is limited, so there is an inevitable mismatch between the ambient noise cross-spectral matrix and the received noise cross-spectral matrix due to the randomness of noise. The mismatch results in imperfect whitening and diagonalization, which reduces the denoising effect. However, the simulation results indicate that the proposed method still reduces more correlated noise and has a better performance on underwater radiated noise measurement compared with the diagonal denoising method and the whitening-decorrelation-based diagonal denoising method even if the number of snapshots is finite.
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Arienzo, Alberto, Fabrizio Argenti, Luciano Alparone, and Monica Gherardelli. "Accurate Despeckling and Estimation of Polarimetric Features by Means of a Spatial Decorrelation of the Noise in Complex PolSAR Data." Remote Sensing 12, no. 2 (January 20, 2020): 331. http://dx.doi.org/10.3390/rs12020331.

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In this work, we extended a procedure for the spatial decorrelation of fully-developed speckle, originally developed for single-polarization SAR data, to fully-polarimetric SAR data. The spatial correlation of the noise depends on the tapering window in the Fourier domain used by the SAR processor to avoid defocusing of targets caused by Gibbs effects. Since each polarimetric channel is focused independently of the others, the noise-whitening procedure can be performed applying the decorrelation stage to each channel separately. Equivalently, the noise-whitening stage is applied to each element of the scattering matrix before any multilooking operation, either coherent or not, is performed. In order to evaluate the impact of a spatial decorrelation of the noise on the performance of polarimetric despeckling filters, we make use of simulated PolSAR data, having user-defined polarimetric features. We optionally introduce a spatial correlation of the noise in the simulated complex data by means of a 2D separable Hamming window in the Fourier domain. Then, we remove such a correlation by using the whitening procedure and compare the accuracy of both despeckling and polarimetric features estimation for the three following cases: uncorrelated, correlated, and decorrelated images. Simulation results showed a steady improvement of performance scores, most notably the equivalent number of looks (ENL), which increased after decorrelation and closely attained the value of the uncorrelated case. Besides ENL, the benefits of the noise decorrelation hold also for polarimetric features, whose estimation accuracy is diminished by the correlation. Also, the trends of simulations were confirmed by qualitative results of experiments carried out on a true Radarsat-2 image.
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Chen, Yaogang, Qian Sun, and Jun Hu. "Quantitatively Estimating of InSAR Decorrelation Based on Landsat-Derived NDVI." Remote Sensing 13, no. 13 (June 22, 2021): 2440. http://dx.doi.org/10.3390/rs13132440.

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As a by-product of Interferometric Synthetic Aperture Radar (SAR, InSAR) technique, interferometric coherence is a measure of the decorrelation noise for InSAR observation, where the lower the coherence value, the more serious the decorrelation noise. In the densely vegetated area, the coherence value could be too low to obtain any valuable signals, leading to the degradation of InSAR performance and the possible waste of expensive SAR data. Normalized Difference Vegetation Index (NDVI) value is a measure of the vegetation coverage and can be estimated from the freely available optical satellite images. In this paper, a multi-stage model is established to quantitatively estimate the decorrelation noise for vegetable areas based on Landsat-derived NDVI prior to the acquisition of SAR data. The modeling process is being investigated with the L-band ALOS-1/PALSAR-1 data and the Landsat-5 optical data acquired in the Meitanba area of Hunan Province, China. Furthermore, the reliability of the established model is verified in the Longhui area, which is situated near the Meitanba area. The results demonstrate that the established model can quantitatively estimate InSAR decorrelation associated with the vegetation coverage.
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Sathesh, Sathesh, and Dr J. Samuel Manoharan. "De-correlation stretch filtering approach for effective Poisson reduction in galaxy Images." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 9 (December 5, 2013): 2987–93. http://dx.doi.org/10.24297/ijct.v11i9.3408.

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Noise reduction is one of the most important processes to enhance the quality of images. This paper proposes a statistical filter, the decorrelation stretch filter for the reduction of Poisson noise that occurs frequently in galaxy images. The primary purpose of decorrelation stretch is visual enhancement. Decorrstretch is applied to the three band images but can also work on arbitrary number of bands. This filter enhances the color separation of an image with significant band-band correlation. Effectiveness of the proposed filter is compared on the basis of Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE).
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Jung, H. Y., D. Y. Kim, and C. K. Un. "Frame decorrelation for noise-robust speech recognition." Electronics Letters 32, no. 13 (1996): 1163. http://dx.doi.org/10.1049/el:19960808.

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Pradhan, Somanath, Xiaojun Qiu, and Jinchen Ji. "A Four-Stage Method for Active Control with Online Feedback Path Modelling Using Control Signal." Applied Sciences 9, no. 15 (July 25, 2019): 2973. http://dx.doi.org/10.3390/app9152973.

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The presence of control signal feedback to the reference microphone in feedforward active control systems deteriorates the control performance. A four-stage method is proposed in this paper to carry out online feedback path modelling with the control signal. It consists of controller initialization, feedback path modelling using decorrelation filters, active control operation, and feedback path change detection for maintaining the control operation. In contrast to the existing auxiliary noise injection method, the proposed method uses five switches and three thresholds to control and maintain the system stability by avoiding the interference between control operation and feedback path modelling, and adaptive decorrelation filters are used to increase the feedback path modelling performance. Simulation results reveal that the proposed method is capable of tracking feedback path changes without injecting any auxiliary noise and maintaining the noise reduction performance and stability of the system.
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Wang, Xinmei, Leimin Wang, Longsheng Wei, and Feng Liu. "Estimation of Object Motion State Based on Adaptive Decorrelation Kalman Filtering." Journal of Advanced Computational Intelligence and Intelligent Informatics 23, no. 4 (July 20, 2019): 749–57. http://dx.doi.org/10.20965/jaciii.2019.p0749.

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To estimate the motion state of object feature point in image space, an adaptive decorrelation Kalman filtering model is proposed in this paper. The model is based on the Kalman filtering method. A first-order Markov sequence model is used to describe the colored measurement noise. To eliminate the colored noise, the measurement equation is reconstructed and then a cross-correlation between the process noise and the newly measurement noise is established. To eliminate the noise cross-correlation, a reconstructed process equation is proposed. According to the new process and measurement equations, and the noise mathematical characteristics of the standard Kalman filtering method, the parameters involved in the new process equation can be acquired. Then the noise cross-correlation can be successfully eliminated, and a decorrelation Kalman filtering model can be obtained. At the same time, for obtaining a more accurate measurement noise variance, an adaptive recursive algorithm is proposed to update the measurement noise variance based on the correlation method. It overcomes the limitations of traditional correlation methods used for noise variance estimation, thus, a relatively accurate Kalman filtering model can be obtained. The simulation shows that the proposed method improves the estimation accuracy of the motion state of object feature point.
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Aghanim, N., M. Ashdown, J. Aumont, C. Baccigalupi, M. Ballardini, A. J. Banday, R. B. Barreiro, et al. "Planck intermediate results." Astronomy & Astrophysics 599 (February 28, 2017): A51. http://dx.doi.org/10.1051/0004-6361/201629164.

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The characterization of the Galactic foregrounds has been shown to be the main obstacle in thechallenging quest to detect primordial B-modes in the polarized microwave sky. We make use of the Planck-HFI 2015 data release at high frequencies to place new constraints on the properties of the polarized thermal dust emission at high Galactic latitudes. Here, we specifically study the spatial variability of the dust polarized spectral energy distribution (SED), and its potential impact on the determination of the tensor-to-scalar ratio, r. We use the correlation ratio of the CBBℓ angular power spectra between the 217 and 353 GHz channels as a tracer of these potential variations, computed on different high Galactic latitude regions, ranging from 80% to 20% of the sky. The new insight from Planck data is a departure of the correlation ratio from unity that cannot be attributed to a spurious decorrelation due to the cosmic microwave background, instrumental noise, or instrumental systematics. The effect is marginally detected on each region, but the statistical combination of all the regions gives more than 99% confidence for this variation in polarized dust properties. In addition, we show that the decorrelation increases when there is a decrease in the mean column density of the region of the sky being considered, and we propose a simple power-law empirical model for this dependence, which matches what is seen in the Planck data. We explore the effect that this measured decorrelation has on simulations of the BICEP2-Keck Array/Planck analysis and show that the 2015 constraints from these data still allow a decorrelation between the dust at 150 and 353 GHz that is compatible with our measured value. Finally, using simplified models, we show that either spatial variation of the dust SED or of the dust polarization angle are able to produce decorrelations between 217 and 353 GHz data similar to the values we observe in the data.
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Dissertations / Theses on the topic "Decorrelation noise"

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Tu, Yifeng. "Multiple Reference Active Noise Control." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/36790.

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The major application of active noise control (ANC) has been focused on using a single reference signal; the work on multiple reference ANC is very scarce. Here, the behavior of multiple reference ANC is analyzed in both the frequency and time domain, and the coherence functions are provided to evaluate the effectiveness of multiple reference ANC. When there are multiple noise sources, multiple reference sensors are needed to generate complete reference signals. A simplified method combines those signals from multiple reference sensors into a single reference signal. Although this method could result in satisfactory noise control effects under special circumstances, the performance is generally compromised. A widely adopted method feeds each reference signal into a different control filter. This approach suffers from the problem of ill-conditioning when the reference signals are correlated. The problem of ill-conditioning results in slow convergence rate and high sensitivity to measurement error especially when the FXLMS algorithm is applied. To handle this particular problem, the decorrelated Filtered-X LMS (DFXLMS) algorithm is developed and studied in this thesis. Both simulations and experiments have been conducted to verify the DFXLMS algorithm and other issues associated with multiple reference ANC. The results presented herein are consistent with the theoretical analysis, and favorably indicate that the DFXLMS algorithm is effective in improving the convergence speed. To take the maximum advantage of the TMS320C30 DSP board used to implement the controller, several DSP programming issues are discussed, and assembly routines are given in the appendix. Furthermore, a graphical user interface (GUI) running under Windows' environment is introduced. The main purpose of the GUI is to facilitate parameters modification, real time data monitoring and DSP process control.
Master of Science
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Giarra, Matthew Nicholson. "The Signal in the Noise: Understanding and Mitigating Decorrelation in Particle Image Velocimetry." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/84520.

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Particle image velocimetry (PIV) has become one of the most important tools for experimentally investigating the physics of fluid flows. In PIV, image-processing algorithms estimate flow velocity by measuring the displacements of flow-tracer particles suspended in a fluid. The fundamental operation in PIV is the cross correlation (CC), which measures the displacement between two similar patterns. These measurements can fail under circumstances that arise due to the nature of the underlying flow field (e.g., vortices and boundary layers, where particle patterns not only translate but also rotate, stretch, and shear) or of the images (e.g., X-ray images, with comparatively low signal to noise ratios). Despite these shortcomings, fairly little attention has been paid to fundamentally improving measurements at the level of the CC. The objective of this dissertation is to demonstrate specific modifications to the correlation kernel of PIV that increase its accuracy and in certain cases extend its utility to classes of flows and image types that were previously unresolvable. First, we present a new PIV correlation algorithm called the Fourier-Mellin correlation (FMC) that reduces velocity errors by an order of magnitude in rotating flows (chapter 1). Second, we develop a model of PIV cross correlations that explains the fundamental sources of several major drivers of error in these measurements. We show how the shapes of the tracer particles and the distributions of their individual displacements affect the correlation signal to noise ratio (SNR), whose effects have previously been described only heuristically. We use this insight to create an algorithm that automatically creates a Fourier-based weighting filter, and demonstrate that our algorithm reduces bias and RMS errors in multiple types of PIV experiments (chapter 2). Finally, we apply principles from our insights to measure blood flows in the hearts of grasshoppers using X-ray PIV, and discovered flow kinematics that were unexpected according to the current prevailing understanding of the heart as a peristaltic pump that produces directional flows. Our results suggest that flow production in insect hearts may be more complex than once thought (chapter 3).
Ph. D.
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Oksar, Yesim. "Target Tracking With Correlated Measurement Noise." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608198/index.pdf.

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A white Gaussian noise measurement model is widely used in target tracking problem formulation. In practice, the measurement noise may not be white. This phenomenon is due to the scintillation of the target. In many radar systems, the measurement frequency is high enough so that the correlation cannot be ignored without degrading tracking performance. In this thesis, target tracking problem with correlated measurement noise is considered. The correlated measurement noise is modeled by a first-order Markov model. The effect of correlation is thought as interference, and Optimum Decoding Based Smoothing Algorithm is applied. For linear models, the estimation performances of Optimum Decoding Based Smoothing Algorithm are compared with the performances of Alpha-Beta Filter Algorithm. For nonlinear models, the estimation performances of Optimum Decoding Based Smoothing Algorithm are compared with the performances of Extended Kalman Filter by performing various simulations.
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Piniard, Matthieu. "Contrôle en ligne du procédé Laser Beam Melting : apports de l'holographie numérique à deux longueurs d'onde." Electronic Thesis or Diss., Sorbonne université, 2021. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2021SORUS571.pdf.

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Ce manuscrit décrit le développement d’un système pour mesurer la forme 3D du bain de fusion du procédé Laser Beam Melting (LBM). Après avoir constaté l’absence de moyens adaptés au contrôle plein-champ, temps-réel, in situ de la topographie du bain de fusion et de la zone adjacente, il est montré qu’un système basé sur l’holographie numérique à deux longueurs d’ondes présente tous les atouts pour atteindre cet objectif. Un banc basé sur le principe du multiplexage spatio-chromatique d’hologrammes numériques hors-axes à deux longueurs d’ondes a alors été conçu. Une étude photométrique a permis de chiffrer les contributions des différents rayonnements en jeu et d’évaluer le niveau des sources de bruit. En particulier, un modèle analytique décrivant la contribution du bruit de phase induit par la décorrélation de speckle dûe à la topographie de la surface inspectée a été développé. Une simulation réaliste des conditions expérimentales a permis de valider le modèle. Les études numériques et expérimentales ont notamment permis de choisir le couple de longueurs d’ondes adéquates pour réaliser la mesure. Enfin, le système holographique a été implanté sur un banc simplifié LBM et la pertinence de notre concept est démontrée. Pour traiter les hologrammes une méthode de compensation des fréquences spatiales des ondes porteuses a été proposée et validée. Les premiers résultats expérimentaux ont été obtenus avec la mesure de cordons statiques, en translation et de bains de fusion en condition in situ. Ces résultats ouvrent des perspectives à l’amélioration du banc et à des études quantitatives du bain de fusion
This manuscript describes the development of a system to measure the 3D shapeLaser Beam Melting (LBM) process melt pool. Noting the lack of means adapted to the fullfield,real-time, in situ topography monitoring of the melt pool and the adjacent zone, it is shown that a system based on digital holography at two wave lengths presents all the assets to achieve this objective. A bench based on the principle of space-chromatic multiplexing of off-axis digital holograms at two wavelengths was then designed. A photometric study allowed to quantify the contributions of the various radiations involved and to evaluate the level of the noise sources. In particular, an analytical model describing the contribution of the phase noise induced by the decorrelation of speckle due to the topography of the inspected surface was developed. A realistic simulation of the experimental conditions allowed to validate the model. Numerical and experimental studies allowed to choose the adequate pair of wavelengths to realize the measurement. Finally, the holographic system has been implemented on a simplified LBM bench and the relevance of our concept is demonstrated. To process the holograms, a method of compensation of the spatial frequencies of the carrier waves has been proposed and validated. The first experimental results have been obtained with the measurement of static track, in translation and melt pool in the in situ condition. These results open perspectives for the improvement of the bench and for quantitative studies of the melt
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Lee, Wei-Chen, and 李維真. "Reliability of noise-decorrelation method in inverse problems." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/20304027195665368675.

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碩士
國立交通大學
物理研究所
103
Nowadays, massive amounts of measured data are available for analysis in various fields. However, the underlying mechanism yielding these data are often hard to extract. Therefore, it has become an important issue how to inversely deduce the mechanism of these data. Calculations by typical fitting methods will be rather complicated in high-dimensional systems. Recently some new ideas have been proposed to tackle this tricky problem. In this work, we use a newly developed method to resolve these inverse problems in different dynamical systems. Besides, we analyze the validity and precision of that theory and try to generalize this method. Finally, we try to apply this method to biological systems, e.g., how does a biological receptor extract the extracellular concentration of a signal molecule.
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Book chapters on the topic "Decorrelation noise"

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Bendoumia, Rédha, Mohamed Djendi, and Abderrazek Guessoum. "Two-Channel Acoustic Noise Reduction by New Backward Normalized Decorrelation Algorithm." In Advanced Control Engineering Methods in Electrical Engineering Systems, 464–78. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97816-1_35.

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Saylani, Hicham, Shahram Hosseini, and Yannick Deville. "Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation." In 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.

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Korte, Johannes, Till Schubert, Jan Martin Brockmann, and Wolf-Dieter Schuh. "On the Estimation of Time Varying AR Processes." In International Association of Geodesy Symposia. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/1345_2023_188.

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AbstractIn time series analysis auto regressive (AR) modelling of zero mean data is widely used for system identification, signal decorrelation, detection of outliers and forecasting. An AR process of order p is uniquely defined by r coefficients and the variance of the noise. The roots of the characteristic polynomial can be used as an alternative parametrization of the coefficients, which is used to construct a continuous covariance function of the AR processes or to verify that the AR processes are stationary. In this contribution we propose an approach to estimate an AR process of time varying coefficients (TVAR process). In the literature, roots are evaluated at discrete times, rather than a continuous function like we have for time varying systems. By introducing the assumption that the movement of the roots are linear functions in time, stationarity for all possible epochs in the time domain is easy to accomplish. We will illustrate how this assumption leads to TVAR coefficients where the k-th coefficient is a polynomial of order k with further restrictions on the parameters of the coefficients. At first we study how to estimate TVAR process parameters by using a Least Squares approach in general. As any AR process can be rewritten as a combination of AR processes of order two with two complex conjugated roots and AR processes of order one, we limit our investigations to these orders. Higher order TVAR processes are computed by successively estimating TVAR processes of orders one or two. Based on a simulation, we will demonstrate the advantages of a time varying model and compare them to the stationary time stable model. In addition, we will give a method to identify time series, for which the model of the TVAR processes with linear roots is suitable.
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Conference papers on the topic "Decorrelation noise"

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Meteyer, Erwan, Charles Pezerat, and Pascal Picart. "On the anisotropy of decorrelation noise in digital holographic interferometry." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/dh.2022.tu4a.8.

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Matsumoto, Mitsuharu. "Adaptive ε-filter based on signal-noise decorrelation." In 2009 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2009). IEEE, 2009. http://dx.doi.org/10.1109/ispacs.2009.5383766.

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Torres, Francesc, Lin Wu, Nuria Duffo, Ignasi Corbella, and Manuel Martin-Neira. "Spatial decorrelation of radiometric noise in SMOS measurements." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6350802.

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Zheng, Yujie, Howard Zebker, and Roger Michaelides. "A Physics-Based Decorrelation Phase Covariance Model for Effective Decorrelation Noise Reduction in Interferogram Stacks." In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020. http://dx.doi.org/10.1109/igarss39084.2020.9323237.

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Meteyer, Erwan, Charles Pezerat, and Pascal Picart. "Speckle phase noise versus out-of-focus in digital holographic interferometry." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/dh.2023.htu3c.1.

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Pires, Leo S., Robert P. Dougherty, and Samir N. Y. Gerges. "Predicting Turbulent Decorrelation in Acoustic Phased Array in a Turbulent Medium." In SAE Brasil International Noise and Vibration Colloquium 2014. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2014. http://dx.doi.org/10.4271/2014-36-0765.

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Stojanović, Nebojša, Stefano Calabrò, Lin Youxi, Tom Jonas Wettlin, Talha Rahman, and Maxim Kuschnerov. "Improving FFE Performance by an Error Decorrelation Algorithm." In Optical Fiber Communication Conference. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/ofc.2024.w2a.1.

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Two error decorrelation algorithms with negligible complexity and latency are developed to improve noise statistics after feed-forward equalizers. Performance improvement is demonstrated in simulations and experiments.
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Mast, T. D., and Swetha Subramanian. "Analytic and numerical modeling of ultrasonic B-scan and echo decorrelation imaging." In 159th Meeting Acoustical Society of America/NOISE-CON 2010. ASA, 2010. http://dx.doi.org/10.1121/1.3483555.

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Piniard, Matthieu, Pascal Picart, Béatrice Sorrente, and Gilles Hug. "Decorrelation-induced speckle phase noise in twowavelength digital holographic profilometry." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/dh.2019.tu4b.2.

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

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