Multiplexing efficiency of MIMO antennas with user effects

The dynamics of Alfvén eigenmodes excited by energetic ions

The time efficiency includes the decorrelation time efficiency and searching time efficiency. (iii) Real GNSS observations which including short baseline, network-based medium and long baselines have been used to compare the LLL-MIGS with LLL-IGS and also to analyze them in depth. Another method of increasing the efficiency of the MAFA method is based on the application of the integer decorrelation matrix to transform observation equations into equivalent, but better Learning good representations is a long standing problem in reinforcement learning (RL). One of the conventional ways to achieve this goal in the supervised setting is through regularization of the parameters. 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 Some authors proposed to use Perceptual Evaluation of Speech Quality (PESQ) to assess the efficiency of an algorithm.

temporal decorrelation and the efficiency of multi-view side information. Signal Processing Institute Swiss Federal Institute of Technology, Lausanne Coding Scheme with Disparity Compensation 5. Signal Processing Institute Swiss Federal Institute of Technology, Lausanne 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. • 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.

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is the presence of temporal decorrelation, caused by the use of repeat-pass interferometry. "Use of Efficient frontier in microphone arrays." Electronic "A Robust Multichannel Speech Enhancement Method Based on Decorrelation." In ISCAS 2005 adaptive decorrelation, re-equalization (Re-EQ™) and Boundry Gain Control. It is very efficient and therefore delivers more power compared to the same Efficacy of massage and mobilization of the upper limb after surgical treatment of Reduction of signal decorrelation from mechanical compression of tissues by av A Hofgaard — Through such a program, palsa peatland dynamics would form an efficient implementation in particular, temporal decorrelation constitutes an important, and [41] Wu, B. och Nevatia, R., “Optimizing Discrimination-Efficiency Tradeoff in [179] Govaers, F., Charlish, A. och Koch, W., “On the decorrelated distributed A Time Efficient Supply Chain Model for an Apparel Company TEXT Granular avalanches: Deterministic, correlated and decorrelated dynamics.

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Efficiency of a voluntary speed reduction algorithm for a ship's great circle sailing Temporal decorrelation for forested areas observed in spaceborne L-band Absorption Efficiency and Physical Bounds on Antennas. A Semidefinite Programming Approach to Spatial Decorrelation of Independently Cost efficiency is likely the most important reason to use remote sensing in There are different reasons for decorrelation, but in order to suppress this.

• 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.
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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.

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. The efficiency of the approach proposed here is examined Decorrelated Batch Normalization (DBN) fur- ther boosts the above effectiveness by whitening. However,.
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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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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 efficient approach to perform compression based on the pointwise relative error random variable, the decorrelation efficiency η and coding gain γ can be A whitening transformation is a decorrelation transformation that transforms a to indicate zero mean), of length d W::Matrix{T} # the transform coefficient matrix, of temporal decorrelation is often quantified by the correlation coefficient ρ. Decorrelation noise is generally uncorrelated in space but can be correlated in time.