entropy-constrained scalar quantizer
Entropy-constrained scalar quantization with a lossy-compressed bit
... a scalar quantizer is coded and transmitted via a very noisy channel, quantizers with a small number of levels (higher distortion) may yield better performance than those with a larger number of levels ...
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Entropy Density and Mismatch in High-Rate Scalar Quantization with Rényi Entropy Constraint
... R´enyi entropy constraint of order α ∈ (0, 1). The concept of a quantizer point density is a problematic one for (R´enyi) entropy-constrained quantization since (near) optimal quantizers can ...
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High-Resolution Scalar Quantization with Rényi Entropy Constraint
... R´enyi entropy of a quantizer must be si- multaneously controlled, a difficulty not encountered in fixed- rate ...Zador’s entropy-constrained quantization result in [11] cannot be used since ...
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Low-resolution scalar quantization for Gaussian sources and squared error
... of entropy-constrained scalar quantization in the low-rate ...output entropy of any scalar quantizer with mean- squared error D or ...a scalar quantizer for each ...
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Probabilistic distance based quantizer design for distributed estimation
... In this paper, we have proposed an iterative quantizer design algorithm that seeks to minimize the probabilistic distance between the posterior distribution and its quan- tized one. The benefits of our algorithm ...
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Mixing of scalar glueballs and flavour-singlet scalar mesons
... Lattice techniques are well developed to describe mass spectra. What is much less well studied are hadronic transi- tions. Here we shall concentrate on purely hadronic transi- tions such as glueball mixing with ...
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Functional quantizer design for source localization in sensor networks
... It should be noticed that the regular quantization par- titions can be also constructed by the functional quanti- zation of a monotonic estimator (e.g., a linear minimum mean square error (MMSE) estimator) since each ...
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Performance of Quasi-logarithmic Quantizer for Discrete Input Signal
... non-uniform quantizer application, was proposed in ...a quantizer with a small number of quantization levels in order to provide additional ...quasi-logarithmic quantizer in the second stage and to ...
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Exergy concept and exergetic analysis: review
... entropy and exergy concepts come from thermodynamics and are applicable to all fields of science and engineering. Therefore, this article intends to provide background for better understanding of these concepts ...
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Multipath estimation based on modified ε-constrained rank-based differential evolution with minimum error entropy
... error entropy (MEE) criterion under Gaussian or non-Gaussian ...a constrained optimization problem. A modified ε -constrained rank-based differential evolution ( ε RDE) algorithm is developed to find ...
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Monotonic Estimation for Probability Distribution and Multivariate Risk Scales by Constrained Minimum Generalized Cross Entropy
... [5] Yang, B. H. (2018). Smoothing Algorithms by Constrained Maximum Likelihood, Journal of Risk Model Validation, Volume 12 (2), pp. 89-102. [6] Potharst, R. and Feelders, A. J. (2002). Classification Trees for ...
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Construction of Global Weak Entropy Solution of Initial Boundary Value Problem for Scalar Conservation Laws with Weak Discontinuous Flux
... for scalar conservation laws plays an important role in mathematical modelling and simulation of practical problem of the one-dimensional sedimentation processes and traffic flow on highways [1] [2] [3] [4] ...
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Turbulent combustion simulation in realistic gas-turbine combustors
... the scalar properties are now a function of both mixture fraction and progress variable, which describes the extent of reaction in the local ...with scalar dissipation/strain ...reactive scalar, and ...
202
Reduced-Complexity Deterministic Annealing for Vector Quantizer Design
... vector quantizer (VQ) design by using soft information processing with simplified assignment ...system entropy due to using the simple soft measures instead of the optimal Gibbs ...vector quantizer ...
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Theory and simulation of passive scalar mixing in the presence of a mean scalar gradient
... passive scalar mixing shares many of the features of the classical turbulence problem, and has important applications in areas such as turbu- lent combustion and dispersion in geophysical ...passive scalar ...
144
A Scalar Compromise Equilibrium for N Person Prescriptive Games
... In this paper the general notion of a scalar equilibrium SE is defined for an n-person, one-shot game in normal form. The advantages of an SE include flexibility in the decision criteria for decision makers, the ...
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Analysis and Design of Robust Quasilogarithmic Quantizer for the Purpose of Traffic Optimization
... This paper proposes a simple manner to determine the support region of the quasilogarithmic robust quan- tizer. We assume Laplacian probability density function which is widely accepted as a typical model for audio and ...
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Chapter07_1 (2).ppt
... called entropy, a quantitative measure of microscopic disorder for a ...system. Entropy is a measure of energy that is no longer available to perform useful work within the current ...of entropy and, ...
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Cascade of Nonlinear Entropy and Statistics to Discriminate Fetal Heart Rates
... devices. Entropy analysis is a nonlinear signal analysis technique that has been progressively developed to improve the discriminability of a several physiological signals, with Kernel based entropy ...
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IMPLEMETATION OF A HIGHER ORDER SDM WITH MULTI BIT QUANTIZER
... By the use of uniform quantizer, the performance of Sigma Delta Modulator increases drastically. Stability issues can be resolved by using multibit quantizers. But the designing of multibit quantizer is ...
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