7,728 research outputs found

    Do Regional Integration Agreements Increase Business-Cycle Convergence? Evidence From APEC and NAFTA

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    Using monthly industrial sector data from January 1971 to March 2004, we test for business cycles convergence among the major APEC members: Japan, South Korea, Malaysia, Mexico, USA, and Canada. In addition, we examine the synchronization of business cycles among Australia, Japan, and South Korea, based on the quarterly data for the 1957-2003 period, as well as among the different economic sectors of the NAFTA countries from January 1970 through March 2004. We apply different techniques to identify business cycles. In particular, we propose a new trend-cycle decomposition method based on wavelet analysis. The results show that convergence of business cycles of Asia-Pacific countries is far from complete, but joining the APEC has increased the mean correlation of industrial production cycles of the member economies. On the other hand, although some economic sectors of the NAFTA countries already exhibited some degree of business cycle co-movement even during pre-NAFTA period, the volatility of pair-wise correlation of business cycles declined during NAFTA. In addition, we conclude that, in general, the transmission of business cycles is relatively slow, and, consequently, business cycles appear to be asynchronous.http://deepblue.lib.umich.edu/bitstream/2027.42/40151/3/wp765.pd

    Nonlocal Myriad Filters for Cauchy Noise Removal

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    The contribution of this paper is two-fold. First, we introduce a generalized myriad filter, which is a method to compute the joint maximum likelihood estimator of the location and the scale parameter of the Cauchy distribution. Estimating only the location parameter is known as myriad filter. We propose an efficient algorithm to compute the generalized myriad filter and prove its convergence. Special cases of this algorithm result in the classical myriad filtering, respective an algorithm for estimating only the scale parameter. Based on an asymptotic analysis, we develop a second, even faster generalized myriad filtering technique. Second, we use our new approaches within a nonlocal, fully unsupervised method to denoise images corrupted by Cauchy noise. Special attention is paid to the determination of similar patches in noisy images. Numerical examples demonstrate the excellent performance of our algorithms which have moreover the advantage to be robust with respect to the parameter choice

    Do Regional Integration Agreements Increase Business-Cycle Convergence? Evidence From APEC and NAFTA

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    Using monthly industrial sector data from January 1971 to March 2004, we test for business cycles convergence among the major APEC members: Japan, South Korea, Malaysia, Mexico, USA, and Canada. In addition, we examine the synchronization of business cycles among Australia, Japan, and South Korea, based on the quarterly data for the 1957-2003 period, as well as among the different economic sectors of the NAFTA countries from January 1970 through March 2004. We apply different techniques to identify business cycles. In particular, we propose a new trend-cycle decomposition method based on wavelet analysis. The results show that convergence of business cycles of Asia-Pacific countries is far from complete, but joining the APEC has increased the mean correlation of industrial production cycles of the member economies. On the other hand, although some economic sectors of the NAFTA countries already exhibited some degree of business cycle co-movement even during pre-NAFTA period, the volatility of pair-wise correlation of business cycles declined during NAFTA. In addition, we conclude that, in general, the transmission of business cycles is relatively slow, and, consequently, business cycles appear to be asynchronous.business-cycles convergence, wavelets, APEC, NAFTA

    Approximate Inference for Wireless Communications

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    Sampling-based Motion Planning for Active Multirotor System Identification

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    This paper reports on an algorithm for planning trajectories that allow a multirotor micro aerial vehicle (MAV) to quickly identify a set of unknown parameters. In many problems like self calibration or model parameter identification some states are only observable under a specific motion. These motions are often hard to find, especially for inexperienced users. Therefore, we consider system model identification in an active setting, where the vehicle autonomously decides what actions to take in order to quickly identify the model. Our algorithm approximates the belief dynamics of the system around a candidate trajectory using an extended Kalman filter (EKF). It uses sampling-based motion planning to explore the space of possible beliefs and find a maximally informative trajectory within a user-defined budget. We validate our method in simulation and on a real system showing the feasibility and repeatability of the proposed approach. Our planner creates trajectories which reduce model parameter convergence time and uncertainty by a factor of four.Comment: Published at ICRA 2017. Video available at https://www.youtube.com/watch?v=xtqrWbgep5

    The Atacama Cosmology Telescope: A Measurement of the 600< ell <8000 Cosmic Microwave Background Power Spectrum at 148 GHz

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    We present a measurement of the angular power spectrum of the cosmic microwave background (CMB) radiation observed at 148 GHz. The measurement uses maps with 1.4' angular resolution made with data from the Atacama Cosmology Telescope (ACT). The observations cover 228 square degrees of the southern sky, in a 4.2-degree-wide strip centered on declination 53 degrees South. The CMB at arcminute angular scales is particularly sensitive to the Silk damping scale, to the Sunyaev-Zel'dovich (SZ) effect from galaxy clusters, and to emission by radio sources and dusty galaxies. After masking the 108 brightest point sources in our maps, we estimate the power spectrum between 600 < \ell < 8000 using the adaptive multi-taper method to minimize spectral leakage and maximize use of the full data set. Our absolute calibration is based on observations of Uranus. To verify the calibration and test the fidelity of our map at large angular scales, we cross-correlate the ACT map to the WMAP map and recover the WMAP power spectrum from 250 < ell < 1150. The power beyond the Silk damping tail of the CMB is consistent with models of the emission from point sources. We quantify the contribution of SZ clusters to the power spectrum by fitting to a model normalized at sigma8 = 0.8. We constrain the model's amplitude ASZ < 1.63 (95% CL). If interpreted as a measurement of sigma8, this implies sigma8^SZ < 0.86 (95% CL) given our SZ model. A fit of ACT and WMAP five-year data jointly to a 6-parameter LCDM model plus terms for point sources and the SZ effect is consistent with these results.Comment: 15 pages, 8 figures. Accepted for publication in Ap
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