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V. Borodacheva and A. Gol'denberg and V. Manuilov and O. O. Malygina}, year={1995} } Abstract: The decorrelation performance of LAMBDA algorithm, LLL algorithm and Seysen algorithm are analyzed with evaluation indexes, i.e., condition number, orthogonal defect and S(A).Moreover, relationships between decorrelation performance of the above algorithms and ambiguity search efficiency are evaluated using theoretical and practical validation, respectively. decorrelation would enhance coding efficiency in optic nerve fibers of limited capacity. Here we test the central prediction of the theory and demonstrate that the spike trains of retinal ganglion cells are indeed decorrelated compared to the visual input. However, most of the decorrelation is Our analysis reveals that the energy distribution among signal elements is critical for the efficiency of uncoded transmission. A decorrelation transform can potentially bring a significant performance gain by boosting the energy diversity in signal representation.

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(Nat Neurosci 16: 724–729, 2013), who measured for the Measurement of azimuthal decorrelation angle between the leading jet and the scattered lepton in deep inelastic scattering at HERA (first preliminary presentation) I.Pidhurskyi 1, M.Shchedrolosiev , J.Nam2, A.Quintero2, B. Surrow2 1Taras Shevchenko National University of Kyiv, 2Temple University 19 June 2019 1 The efficiency of multiresolution decomposition using mor-phological filters for 3D volume image decorrelation in lossless compression and computational complexity are evaluated. More efficient decorrelation is performed using morphological wavelets for multiresolution data representa-tion than using Laplacian style pyramidal decomposition A decorrelation of the wave-particle phase is added in order to model stochasticity of the system (e.g. due to collisions between particles). Based on the nonlinear description with added phase decorrelation, a quasilinear version of the model has been developed, where the phase decorrelation has been replaced by a quasilinear diffusion coefficient in particle energy. This paper presents another, independent from the previous, approach to increase the efficiency of the MAFA method. It is based on the application of the integer decorrelation matrix to transform observation equations into equivalent, but better conditioned, observation equations.

Among them, the materials A and C present are significant spectral similarities, while the material B is the most dissimilar. The correlation coefficient is a really popular way of summarizing a scatter plot into a single number between -1 and 1. In this video, I'm giving an intuiti This paper presents a new coding tool named cross component decorrelation in the emerging High Efficiency Video Coding Range Extension (HEVC RExt) standard.

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2016-08-20 It provides data decorrelation and creates a frequency-related distribution of energy allowing low energy coefficients to be discarded. 2. Retained coefficients can be quantized, using a scalar quantizer, according to their perceptual importance.

Decorrelation efficiency

Multiplexing efficiency of MIMO antennas with user effects

Decorrelation efficiency

Since the minimum possible autocorrelation for a given 2019-11-19 2018-05-23 2018-04-03 to which a transform is optimal, we define two measures of optimality: decorrelation efficiency ( the traditional measure ) is the proportional reduction in off-diagonal energy ( sum of ak)solute values of covariances ) from the data domain to the transform domain4, and relative remaining energy is Ambiguity decorrelation is a useful technique for rapid integer ambiguity fixing. It plays an important role in the least-squares ambiguity decorrelation adjustment (Lambda) method. 2020-02-26 The efficient coding hypothesis was proposed by Horace Barlow in 1961 as a theoretical model of sensory coding in the brain. Within the brain, neurons communicate with one another by sending electrical impulses referred to as action potentials or spikes.

Decorrelation efficiency

In this paper, we develop an online regularization framework for decorrelating features 2018-05-23 · LLL reduction algorithm has been used as a new technique of decorrelation to GNSS ambiguity resolution for recent years.
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Then, substitutions are made into the measurement noise, design matrix and measurements using these factors. Mar 11, 2012 For bright, high-contrast images, this decorrelation would enhance coding efficiency in optic nerve fibers of limited capacity. We tested the  An Improved Decorrelation Method For the Efficient. Display of Multispectral Data . JEAN M. DURAND AND YANN H. KERR, MEMBER, IEEE.

Dec 25, 2019 Logan, its popularity has not diminished due to its computational efficiency and versatile applicability in artificial reverberation, decorrelation,  the analysis of finite sequence length multipath decorrelation under the practical the bandwidth-efficient two-user case and for a system with spreading factor  maximum decorrelation, efficient minimum volatility efficiency (see for instance Ferson, Kandel and Stambaugh [1987], as well as Goltz and Le Sourd [2011],  provide high decorrelation efficiency.
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Scalar quantizers are applied to transform outputs to extract uniformly distributed bit sequences to which secret keys are bound. A set of transforms that perform well in terms of the 2020-04-01 In lossless compression with JPEG 2000, compared with methods which do not use transforms, the VMSSTs reduced the average bitrates of three types of CFAs: from approximately 0.09 to 0.12 bpp for the modified Bayer CFA, from 0.25 to 0.65 bpp for the diagonal stripe CFA, and from 0.33 to 0.70 bpp for the Fujifilm X-Trans CFA due to their high color decorrelation efficiency.

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Study and Analysis of Convolutional Neural Networks for

May 2018; DOI: 10.1007/978-981-13-0014-1_43. Basic theories of efficiency (e.g., decorrelation, sparseness, independence, etc.) are likely to be insufficient to account for the more complex nonlinear representations found in higher levels.