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Component Modeling with State-Space Method

2016
A state-space representation, also known as the ‘time-domain approach’, is a mathematical model of a physical system as a set of input, output, and state variables related to first-order differential equations.
Ye Yao, Yuebin Yu
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State-Space Methods

2020
Wu-Sheng Lu, Andreas Antoniou
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State Space Methods For Doa Estimation

SPIE Proceedings, 1989
In this paper, we examine state space methods for estimating the direction of arrival of plane waves from a linear equispaced sensor array. From a computational point of view, the approach only involves matrix operations and is suitable for systolic/wavefront implementation.
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State-Space Methods for Multiple Amplifiers

2004
The amplifier literature contains many schemes to connect multiple amplifiers. For example, the classical cascode circuit [25] of Figure 9.1 directly connects two transistors and is still a topic in amplifier matching [90].
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State-Space Methods for Single Amplifiers

2004
The H∞ Methods bound the amplifier’s performance available from any matching circuit. In fact, a good portion of Chapter 7 is devoted to making these H∞ bounds tight. In contrast, most engineering approaches specify a matching circuit and optimize over the component values. This is the approach taken in Chapter 6.
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Advanced State Space Methods

2009
Kurt Jensen, Lars M. Kristensen
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The State Space Method Generalizations and Applications

Integral Equations and Operator Theory, 2005
Daniel Alpay, Israel Gohberg
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On Particle Methods for Parameter Estimation in State-Space Models

Statistical Science, 2015
Nikolas KANTAŞ   +2 more
exaly  

A state space framework for automatic forecasting using exponential smoothing methods

International Journal of Forecasting, 2002
Rob J Hyndman   +2 more
exaly  

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