state space.
Spacelike hypersurfaces with constant mean curvature in the steady state space
... We also observe that, in connection with our work but using different tools, S. Montiel obtained another height estimate for compact spacelike hypersurfaces with constant mean curvature H > 1 in the Steady ...
16
A state space approach to periodic convolutional codes
... 4.1 2-periodic (3, 2, 2, 1) convolutional code with free distance 4 It is know from the literature that (3, 2, 2, 1) time-invariant convolutional codes have at most free distance 3, whereas the Griesmer bound for this ...
11
Mean-variance hedging strategies in discrete time and continuous state space
... continuous state spaces for values possibly assumed by ...continuous state space ...continuous state space financial model with the rebalancing strategies for the hedging portfolio ...
10
On the state space realization of 2D (2,2)-periodic image behaviors
... 2D state space realization by combining the invariant state space realizations of each of the different invariant operators obtained by “freezing” the coefficients of the original peri- odic ...
5
Estimating Brazilian monthly GDP: a state-space approach
... The econometric models used for interpolation (also in nowcasting and forecasting) in this paper employ a state-space approach. They have three advantages over other interpolation methods: …rst, they allow ...
25
Estimating Brazilian monthly GDP: a state-space approach
... our state- space approach imposes the restriction (discipline) that our monthly estimate must add up to the quarterly observed series in any given quarter, which may not hold regarding ...
26
Fractional State Space Analysis of Economic Systems
... a state variable of a set of multiple possibly coupled dynamic ...and space state portrait ...fractional state space portrait ...
20
STATE SPACE GENERATION FRAMEWORK BASED ON BINARY DECISION DIAGRAM FOR DISTRIBUTED EXPLICIT MODEL CHECKING
... This paper proposes a new framework based on Binary Decision Diagrams (BDD) for the graph distribution problem in the context of explicit model checking. The BDD are yet used to represent the state space ...
9
STATE-SPACE APPROACH FOR THE ANALYSIS OF SOIL WATER CONTENT AND TEMPERATURE IN A SUGARCANE CROP
... among observations and disregard their location intra-field, these newly applied methods in soil science, take advantage of the spatial dependence making use of the location of each observation. Several statistical ...
7
The State Space Average Model of Buck- Boost Switching Regulator Including all of The System Uncertainties
... Abstract—In this paper a complete state-space average model for the buck-boost switching regulators is presented. The presented model includes the most of the regulator’s parameters and uncertainties. In ...
13
STATE-SPACE APPROACH TO EVALUATE THE RELATION BETWEEN SOIL PHYSICAL AND CHEMICAL PROPERTIES
... of state- space ...of state- space ...a space representation of different states through two equations: one an observation vector and the other an evolution of the ...in space ...
10
On the state-space realization of 2-periodic image behaviors
... periodic state-space ...periodic state-space ...periodic state-space realization by means of the individual realizations of each associated time-invariant ...
6
Estimating brazilian monthly GDP: a state-space approach
... The econometric models used for interpolation (also in nowcasting and forecasting) in this paper employ a state-space approach. They have three advantages over other interpolation methods: …rst, they allow ...
26
Reconstructed State Space Model for Recognition of Consonant - Vowel (Cv) Utterances Using Support Vector Machines
... Reconstructed State Space (RSS) approach, combination of RSS with MFCC, Discrete Wavelet Transform (DWT), Radial Basis Functions, Self Organizing Maps and Time Delay Neural ...
19
Fractional Order Modelling Using State Space Theory
... i.e. state space ...by state space ...using state space is better as compared to other models such as first order with ...
4
Reducing the impact of state space explosion in Stochastic Automata Networks
... The new algorithm is analyzed in terms of its efficacy to solve models and also efficiency when compared to the traditional Shuffle method for Kronecker-based descriptors. Moreover, a set of nu- merical optimizations are ...
136
Analysis of Life Histories: A State Space Approach
... the state space approach consists of specific events selected for analysis, timings of these events, and the necessary information on censoring (in what state, and at what time) if experiences are ...
19
Approximate recursive equilibrium with minimal state space
... Remark 4.19. Theorem 4.18 allow us to conclude that if agents update the recursive statistics with arbitrary small errors then, in the long run, they are close to the behavior of competitive equilibrium models presented ...
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