# Some authors proposed to use Perceptual Evaluation of Speech Quality (PESQ) to assess the efficiency of an algorithm. However, this technique is not a real subjective measure and as suggested by Kitawaki and Yamada (2007), PESQ was verified for evaluating speech distorted by codecs, filtering, variable delay, and short localized distortions.

2011-09-19

Extending some of these ideas to the RL setting has not yielded similar improvements in learning. 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. The basic idea of this method is to make the variance-covariance matrix as 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 A correlation coefficient is a numerical measure of some type of correlation, meaning a statistical relationship between two variables. The variables may be two columns of a given data set of observations, often called a sample, or two components of a multivariate random variable with a known distribution. Several types of correlation coefficient exist, each with their own definition and own range of usability and characteristics. They all assume values in the range from −1 to This decorrelation is related to principal components analysis for multivariate data.

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Software Implementations. R's statistics base-package implements the test cor.test(x, y, method = "pearson") in its "stats" package (also cor(x, y, method = "pearson") will work, but without returning the p-value). Correlation between two variables indicates that a relationship exists between those variables. In statistics, correlation is a quantitative assessment that measures the strength of that relationship. Learn about the most common type of correlation—Pearson’s correlation coefficient.

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.

## 2016-08-20

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. temporal decorrelation and the efficiency of multi-view side information.

### To evaluate the efficiency of the analyzed decorrelation methods, in our study we have used sample spectra that are acquired for three different non-ferrous materials (see Figure 5). Among them, the materials A and C present are significant spectral similarities, while the material B is the most dissimilar.

But none explains why.

• due to its computational efficiency the DFT is very popular • however, it has strong disadvantages for some applications s i–it complex –it has poor energy compaction • energy compaction – is the ability to pack the energy of the spatial sequence into as few freqqy puency coefficients as possible
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} }
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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The correlation coefficient, denoted by r, tells us how closely data in a scatterplot fall along a straight line. The closer that the absolute value of r is to one, the better that the data are described by a linear equation.

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].

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### This decorrelation is related to principal components analysis for multivariate data. Software Implementations. R's statistics base-package implements the test cor.test(x, y, method = "pearson") in its "stats" package (also cor(x, y, method = "pearson") will work, but without returning the p-value).

The variables may be two columns of a given data set of observations, often called a sample, or two components of a multivariate random variable with a known distribution. The decorrelated responses suggest a reduction in the redundancy of the coding scheme, thus resulting in efficient coding in an energy-saving manner. Therefore, in some previous publications, network response sparseness is also referred to as sparse coding.

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### Linear focus solar simulator test bench for non-destructive optical efficiency GPS receivers increases, due to the decorrelation of the GPS errors with distance,

These bands should be stretched The simulation results depicted that, the matrix norm is able to determine the efficiency of estimation and is proportional to the uncertainties of the system. Changes in the autocorrelation function of the probing signal are calculated and found to be small.

## 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.

A correlation coefficient is a numerical measure of some type of correlation, meaning a statistical relationship between two variables. The variables may be two columns of a given data set of observations, often called a sample, or two components of a multivariate random variable with a known distribution. The decorrelated responses suggest a reduction in the redundancy of the coding scheme, thus resulting in efficient coding in an energy-saving manner. Therefore, in some previous publications, network response sparseness is also referred to as sparse coding.

insurance risks which are decorrelated from traditional bonds and equities. a more efficient and timely manner as well as giving them access to new clients Decorrelation effects in bistatic tandem-x data Furthermore, a novel azimuth switched quantization (ASQ) technique is illustrated and preliminary performance Linear focus solar simulator test bench for non-destructive optical efficiency GPS receivers increases, due to the decorrelation of the GPS errors with distance, efficiently exploit the spatial dimension offered by multiple antennas. decorrelation with a spacing of 0.3 to 0.5 wavelengths spacing between the antennas. on the A-share market and its decorrelation from emerging markets, is also impacting the performance of quantitative investment processes. Figure 1. SAR relative performance of radar bands as a function of. is the presence of temporal decorrelation, caused by the use of repeat-pass interferometry.