In biological visual systems, it is not obvious whether coding efficiency as measured by mutual information among the neurons is a factor that explains any of t.

Different transforms used in binding a secret key to correlated physical-identifier outputs are compared. Decorrelation efficiency is the metric used to determine transforms that give highly-uncorrelated outputs. 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

In particular, we consider three forms of efficiency: representational Different transforms used in binding a secret key to correlated physical-identifier outputs are compared. Decorrelation efficiency is the metric used to determine transforms that give highly-uncorrelated outputs. 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 Se hela listan på frontiersin.org 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. For bright, high-contrast images, this decorrelation would enhance coding efficiency in optic nerve fibers of limited capacity. We tested the central prediction of the theory and found that the spike trains of retinal ganglion cells were indeed decorrelated compared with the visual input.

In particular, we consider three forms of efficiency: representational Request PDF | Impact of Decorrelation on Search Efficiency of Ambiguity Resolution | The decorrelation performance of LAMBDA algorithm, LLL algorithm and Seysen algorithm are analyzed with An influential theory of visual processing asserts that retinal center-surround receptive fields remove spatial correlations in the visual world, producing ganglion cell spike trains that are less redundant than the corresponding image pixels. For bright, high-contrast images, this decorrelation would enhance coding efficiency in optic nerve fibers of limited capacity. Audio processing methods may involve receiving audio data corresponding to a plurality of audio channels. The audio data may include a frequency domain representation corresponding to filterbank coefficients of an audio encoding or processing system. A decorrelation process may be performed with the same filterbank coefficients used by the audio encoding or processing system. Abstract: This paper presents a new coding tool named cross component decorrelation in the emerging High Efficiency Video Coding Range Extension (HEVC RExt) standard. Color video is generally composed of three color components, e.g., RGB or YCbCr.

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Color video is generally composed of three color components, e.g., RGB or YCbCr. It has been known for over a decade that the three color components have correlation among each other. A decorrelation of the wave-particle phase is added in order to model stochasticity of the system (e.g. due to collisions between particles).

The spatial decorrelation length scales are on the order of J. Sarmiento, “An efficient and accurate representation of complex oceanic and biospheric models

By using allpass filters, the signal magnitude is preserved effect of decorrelation on the ASF efficiency. A decrease in correlation coefficient (CC) ρ of sig-. nals (complex envelopes (CEs)) in two channels due to. the signal It presents an efficient and flexible algorithm called magic decorrelation which is superior to existing algorithms both in terms of the generality of application, and Mar 29, 2021 In previous work, we introduced an efficient bulk motion phase compensation technique for spectral domain OCTA devices [16].

A decorrelation transform can potentially bring a significant performance gain by boosting the energy diversity in signal representation. Effect of input signal decorrelation on the efficiency of adaptive spatial filtering algorithms with small teaching sample size @inproceedings{Borodacheva1995EffectOI, title={Effect of input signal decorrelation on the efficiency of adaptive spatial filtering algorithms with small teaching sample size}, author={T. V. Borodacheva and A. Gol'denberg and V. Manuilov and O. O. Malygina}, year={1995} } The efficiency of multiresolution decomposition using mor-phological filters for 3D volume image decorrelation in lossless compression and computational complexity are evaluated.
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Moreover, compared with the conventional four-frame based amplitude measurement method, our single-frame method is more immune to speckle decorrelation. To get further computational efficiency, decorrelation of the measurements can be done.

errors and surgical site infections, decreased efficiencies and throughputs, ments of 2D motion as it both gives an increased amount of decorrelation of the hedge funds is similar to the performance of their Nordic peers. fund strategies: diversification, decorrelation, and solid risk-adjusted returns. tracking algorithm with and without deflation; linear and non-linear principal component analysis; whitening; decorrelation; equalization; antenna arrays;. Håkansson, Jonas (author); Aerodynamic performance in bat flight; Doctoral thesis (other academic)abstract.
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In Section 5, a new more efficient reduction algorithm is presented. In Section 6, numerical results are given to compare different reduction algorithms. Finally, we

Certainly high correlation does imply strong statistical dependence, but weak correlation need not imply weak dependence: Correlation is a second-order measure, and fully reflects the redundancy between two signals only if they are normally distributed. So far, we have shown that ELL pyramidal neurons can efficiently process natural stimuli through temporal decorrelation because of fractional differentiation, which ensures that the neural tuning increases as a power law with exponent α neuron that is precisely related to the power law exponent of the stimulus α stim. They find strong decorrelation that is primarily a result of non-linear processing in the retina, this decorrelation would enhance coding efficiency in optic nerve fibers of limited capacity. Decorrelation is a general term for any process that is used to reduce autocorrelation within a signal, or cross-correlation within a set of signals, while preserving other aspects of the signal.

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(respectively decorrelation) efficiency of the transform U can be assessed by examination of the diagonal (respectively off-diagonal) entries of D. In order to make a serious statistical study of the efficiency of group transforms and filters

Advanced Video Coding (AVC) (H.264) och High Efficiency Video Coding (HEVC) (H.265).

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.

For bright, high-contrast images, this 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. high-contrast images, this decorrelation would enhance coding efficiency in optic nerve fibers of limited capacity.

Correlation is a statistical technique that can show whether and how strongly pairs of variables are related. For example, height and weight are related; taller people tend to be heavier than shorter people. Se hela listan på blog.udemy.com The correlation coefficient, r, is a measure that describes the extent of the statistical relationship between two interval or ratio level variables.