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3,884
1Spatial Source Subtraction Based on Incomplete Measurements of Relative Transfer Function
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Relationship-specificity, Incomplete Contracts, and the Pattern of Trade
- JOURNAL OF ECONOMICS
, 2007
"... Is a country’s ability to enforce contracts an important determinant of comparative advantage? To answer this question, I construct a variable that measures, for each good, the proportion of its intermediate inputs that require rela-tionship-specific investments. Combining this measure with data on ..."
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Cited by 264 (3 self)
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Is a country’s ability to enforce contracts an important determinant of comparative advantage? To answer this question, I construct a variable that measures, for each good, the proportion of its intermediate inputs that require rela-tionship-specific investments. Combining this measure with data
Mechanical Systems and Signal Processing A direct method for model updating with incomplete measured data and without spurious modes
, 2007
"... Abstract This paper presents a new method for finite element matrix updating problem in an undamped model. This method has a computationally convenient feature of handling the difficulty of the incomplete measured data in an algorithmic way without using standard modal expansion or reduction techni ..."
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Abstract This paper presents a new method for finite element matrix updating problem in an undamped model. This method has a computationally convenient feature of handling the difficulty of the incomplete measured data in an algorithmic way without using standard modal expansion or reduction
Can Sticky Price Models Generate Volatile and Persistent Real Exchange Rates?
, 2000
"... The central puzzle in international business cycles is that real exchange rates are volatile and persistent. The most popular story for real exchange rate fluctuations is that they are generated by monetary shocks interacting with sticky goods prices. We quantify this story and find that it can acco ..."
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Cited by 343 (6 self)
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that are persistent, but less so than in the data. If monetary shocks are correlated across countries, then the comovements in aggregates across countries are broadly consistent with those in the data. Making asset markets incomplete or introducing sticky wages does not measurably change the results.
Trade Costs
- JOURNAL OF ECONOMIC LITERATURE
, 2003
"... This paper surveys trade costs — what we know, and what we don’t know but may usefully attempt to find out. Partial and incomplete data on direct measures of costs go together with inference on implicit costs from the pattern of trade across countries. Representative margins for full trade costs in ..."
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Cited by 335 (0 self)
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This paper surveys trade costs — what we know, and what we don’t know but may usefully attempt to find out. Partial and incomplete data on direct measures of costs go together with inference on implicit costs from the pattern of trade across countries. Representative margins for full trade costs
Learning Low-dimensional Signal Models -- A Bayesian approach based on incomplete measurements
, 2011
"... Sampling, coding, and streaming even the most essential data, e.g., in medical imaging and weather-monitoring applications, produce a data deluge that severely stresses the available analog-to-digital converter, communication bandwidth, and digital-storage resources. Surprisingly, while the ambient ..."
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, such as compressive sensing (CS) [1], [2], matrix completion [3], [4], and general factor-model representations [5], [6]. These approaches have enabled new measurement systems, tools, and methods for information extraction from dimensionality-reduced or incomplete data. A key aspect of maximizing the potential
Volume X, No. 0X, 200X, X–XX SIGNAL RECOVERY FROM INCOMPLETE MEASUREMENTS IN THE PRESENCE OF OUTLIERS
"... Abstract. We study the restoration of a sparse signal or an image with a sparse gradient from a relatively small number of linear measurements which are additionally corrupted by a small amount of white Gaussian noise and outliers. We minimize ℓ1 − ℓ1 and ℓ1 − TV regularization functionals using var ..."
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Abstract. We study the restoration of a sparse signal or an image with a sparse gradient from a relatively small number of linear measurements which are additionally corrupted by a small amount of white Gaussian noise and outliers. We minimize ℓ1 − ℓ1 and ℓ1 − TV regularization functionals using
Application of Preprocessed Classifier Type Neural Network for Searching of Faulty Components of Power Cycles in Case of Incomplete Measurement Data
"... ABSTRACT Thermal and flow diagnostics of power units makes use of diagnostic relations i.e. relations between fault signatures (sets of symptoms) and geometry degradation of its components. Determining symptoms may base on thorough thermal measurements of the cycle. However, numerous apparatuses in ..."
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ABSTRACT Thermal and flow diagnostics of power units makes use of diagnostic relations i.e. relations between fault signatures (sets of symptoms) and geometry degradation of its components. Determining symptoms may base on thorough thermal measurements of the cycle. However, numerous apparatuses
Measuring Trends in Leisure: The Allocation of Time Over Five Decades,”
, 2006
"... In this paper, we use five decades of time-use surveys to document trends in the allocation of time within the United States. We find that a dramatic increase in leisure time lies behind the relatively stable number of market hours worked between 1965 and 2003. Specifically, using a variety of defi ..."
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Cited by 263 (5 self)
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that is the mirror image of the growing inequality of wages and expenditures, making welfare calculation based solely on the latter series incomplete.
SCAAT: Incremental Tracking with Incomplete Information
, 1997
"... We present a promising new mathematical method for tracking a user's pose (position and orientation) for interactive computer graphics. The method, which is applicable to a wide variety of both commercial and experimental systems, improves accuracy by properly assimilating sequential observatio ..."
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Cited by 160 (14 self)
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observations, filtering sensor measurements, and by concurrently autocalibrating source and sensor devices. It facilitates user motion prediction, multisensor data fusion, and higher report rates with lower latency than previous methods. Tracking systems determine the user's pose by measuring signals from
Results 11 - 20
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3,884