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Relevant bibliographies by topics / Decorrelation noise

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Journal articles

Academic literature on the topic 'Decorrelation noise'

Author: Grafiati

Published: 25 May 2024

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Journal articles on the topic "Decorrelation noise"

1

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 (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 no

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2

Tuzlukov, V. P. "Two approaches to multiuser detection over fading channels." Doklady BGUIR 19, no. 1 (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 decorr

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3

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 (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

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4

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 (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 elemen

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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 (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 satelli

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6

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 (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),

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7

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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8

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 (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

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9

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 (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 equatio

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10

Aghanim, N., M. Ashdown, J. Aumont, 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 spec

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