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Peter O'shea - One of the best experts on this subject based on the ideXlab platform.
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Improving Polynomial Phase Parameter Estimation by Using Nonuniformly Spaced Signal Sample Methods
IEEE Transactions on Signal Processing, 2012Co-Authors: Peter O'sheaAbstract:This paper investigates the computationally efficient parameter estimation of polynomial phase Signals embedded in noise. Many authors have previously proposed multilinear analysis methods which operate on uniformly spaced Samples of the Signal. Such methods include the higher-order ambiguity functions (HAFs), the Polynomial Wigner-Ville distributions (PWVDs) and the higher-order phase (HP) functions. This paper investigates the use of multilinear methods which operate on nonuniformly spaced Signal Samples. It is seen that the relaxation of the requirement to use uniformly spaced Samples in the analysis can lead to significant performance improvements. A theoretical analysis and simulations are presented in support of these claims.
Le T - One of the best experts on this subject based on the ideXlab platform.
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Measurement of ¯ ν μ charged-current single π − production on hydrocarbon in the few-GeV region using MINERvA
'American Physical Society (APS)', 2019Co-Authors: Le T, Akbar F, Aliaga L, Da Andrade, Mv Ascencio, Bashyal A, Bercellie A, Betancourt M, Bodek A, Jl BonillaAbstract:The antineutrino scattering channel ¯ ν μ CH → μ + π − X (nucleon(s)) is analyzed in the incident energy range 1.5 to 10 GeV using the MINERvA detector at Fermilab. Differential cross sections are reported as functions of μ + momentum and production angle, π − kinetic energy and production angle, and antineutrino energy and squared four-momentum transfer. Distribution shapes are generally reproduced by simulations based on the GENIE, NuWro, and GiBUU event generators, however GENIE (GiBUU) overestimates (underestimates) the cross section normalizations by 8% (10%). Comparisons of data with the GENIE-based reference simulation probe conventional treatments of cross sections and pion intranuclear rescattering. The distribution of nontrack vertex energy is used to decompose the Signal Sample into reaction categories, and cross sections are determined for the exclusive reactions μ + π − n and μ + π − p . A similar treatment applied to the published MINERvA Sample ¯ ν μ CH → μ + π 0 X [nucleon(s)] has determined the μ + π 0 n cross section, and the latter is used with σ ( π − n ) and σ ( π − p ) to carry out an isospin decomposition of ¯ ν μ -induced CC ( π ) . The ratio of magnitudes and relative phase for isospin amplitudes A 3 and A 1 thereby obtained are: R ¯ ν = 0.99 ± 0.19 and ϕ ¯ ν = 9 3 ° ± 7 ° . Our results are in agreement with bubble chamber measurements made four decades ago
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Measurement of $\bar{\nu}_{\mu}$ charged-current single $\pi^{-}$ production on hydrocarbon in the few-GeV region using MINERvA
'American Physical Society (APS)', 2019Co-Authors: Le T, Akbar F, Aliaga L, Bashyal A, Bercellie A, Betancourt M, Bodek A, Andrade D. A., Ascencio M., Bonilla J. L.Abstract:The antineutrino scattering channel $\bar{\nu}_{\mu} \,\text{CH} \rightarrow \mu^{+} \,\pi^{-} \,X$(nucleon(s)) is analyzed in the incident energy range 1.5 to 10 GeV using the MINERvA detector at Fermilab. Differential cross sections are reported as functions of $\mu^{+}$ momentum and production angle, $\pi^{-}$ kinetic energy and production angle, and antineutrino energy and squared four-momentum transfer. Distribution shapes are generally reproduced by simulations based on the GENIE, NuWro, and GiBUU event generators, however GENIE (GiBUU) overestimates (underestimates) the cross-section normalizations by 8% (10%). Comparisons of data with the GENIE-based reference simulation probe conventional treatments of cross sections and pion intranuclear rescattering. The distribution of non-track vertex energy is used to decompose the Signal Sample into reaction categories, and cross sections are determined for the exclusive reactions $\mu^{+} \pi^{-} n$ and $ \mu^+ \pi^{-} p$. A similar treatment applied to the published MINERvA Sample $\bar{\nu}_{\mu} \,\text{CH} \rightarrow \mu^{+} \,\pi^{0} \,X$(nucleon(s)) has determined the $\mu^{+} \pi^{0} n$ cross section, and the latter is used with $\sigma(\pi^{-} n)$ and $\sigma(\pi^{-} p)$ to carry out an isospin decomposition of $\bar{\nu}_{\mu}$-induced CC($\pi$). The ratio of magnitudes and relative phase for isospin amplitudes $A_{3}$ and $A_{1}$ thereby obtained are: $R^{\bar{\nu}} = 0.99 \pm 0.19$ and $\phi^{\bar{\nu}} = 93^{\circ} \pm 7^{\circ}$. Our results are in agreement with bubble chamber measurements made four decades ago.Comment: 22 pages, 17 figure
Jl Bonilla - One of the best experts on this subject based on the ideXlab platform.
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Measurement of ¯ ν μ charged-current single π − production on hydrocarbon in the few-GeV region using MINERvA
'American Physical Society (APS)', 2019Co-Authors: Le T, Akbar F, Aliaga L, Da Andrade, Mv Ascencio, Bashyal A, Bercellie A, Betancourt M, Bodek A, Jl BonillaAbstract:The antineutrino scattering channel ¯ ν μ CH → μ + π − X (nucleon(s)) is analyzed in the incident energy range 1.5 to 10 GeV using the MINERvA detector at Fermilab. Differential cross sections are reported as functions of μ + momentum and production angle, π − kinetic energy and production angle, and antineutrino energy and squared four-momentum transfer. Distribution shapes are generally reproduced by simulations based on the GENIE, NuWro, and GiBUU event generators, however GENIE (GiBUU) overestimates (underestimates) the cross section normalizations by 8% (10%). Comparisons of data with the GENIE-based reference simulation probe conventional treatments of cross sections and pion intranuclear rescattering. The distribution of nontrack vertex energy is used to decompose the Signal Sample into reaction categories, and cross sections are determined for the exclusive reactions μ + π − n and μ + π − p . A similar treatment applied to the published MINERvA Sample ¯ ν μ CH → μ + π 0 X [nucleon(s)] has determined the μ + π 0 n cross section, and the latter is used with σ ( π − n ) and σ ( π − p ) to carry out an isospin decomposition of ¯ ν μ -induced CC ( π ) . The ratio of magnitudes and relative phase for isospin amplitudes A 3 and A 1 thereby obtained are: R ¯ ν = 0.99 ± 0.19 and ϕ ¯ ν = 9 3 ° ± 7 ° . Our results are in agreement with bubble chamber measurements made four decades ago
G U Xueping - One of the best experts on this subject based on the ideXlab platform.
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reduced order identification of low frequency oscillation transfer function and pss design based on improved multi Signal prony algorithm
Power system technology, 2007Co-Authors: G U XuepingAbstract:To avoid the dimension disaster problem in modern large-scale power system analysis and overcome the difficulty of analyzing power electronic elements by accurate mathematical model, multi-Signals are led into improved Prony algorithm based on singular values-total least square (SVD-TLS). Based on the denoising and filtering by wavelet transform, a multi-Signal Sample function matrix is built to improve the accuracy of identification; then based on multi-Signal Sample function matrix the characteristic of oscillation is identified; finally, the calculation result is applied in the identification of transfer function. According to the identified transfer function and by use of pole assignment, the power system stabilizer (PSS) is designed. The correctness and al-sidedness of identification results of Signal characteristic and transfer function by improved multi-Signal Prony algorithm are validated by IEEE 4-bus 11-machine system. When the designed PSS is added into simulation system, simulation results show that the performance of the PSS designed by the proposed algorithm is better than that of the PSS designed by traditional linearized mathematical model.
Py Kam - One of the best experts on this subject based on the ideXlab platform.
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A refinement to the viterbi-viterbi carrier phase estimator and an extension to the case with a wiener carrier phase process
'Institute of Electrical and Electronics Engineers (IEEE)', 2019Co-Authors: Li Y, Ty Song, Py KamAbstract:We provide a theoretical foundation for further analysis and optimization of the M th-power (MP) carrier phase estimator for MPSK modulation. Also known as the Viterbi-Viterbi (VV) estimator, it is commonly used in practice because it leads to low-latency receiver implementations. The MP carrier phase estimator first raises the received noisy Signal Samples to the Mth-power to remove the unknown phase modulation, and then extracts the unknown carrier phase of the mid-symbol using a weighted sum of these modulation-wiped-off received Signal Samples over a symmetrical observation window. Our starting point is the single-term, complex exponential expression for a complex sinusoid received in complex, additive, white, Gaussian noise (AWGN), which leads to a great deal of simplicity in dealing with arbitrary powers of the noisy received Signal Sample when compared with the conventional approach of raising the sum of Signal plus noise to higher powers. The single-exponential expression enables us to first optimize the weighting coefficients of the MP carrier phase estimator with respect to the statistics of the AWGN, in a manner much simpler than previous approaches. Then, it enables us to apply the linear minimum mean square error (LMMSE) criterion to optimize the MP estimator with respect to both the statistics of the AWGN and the carrier phase noise that we model here as a Wiener process. Although the LMMSE MP estimator is computationally intensive for online implementation, a much less complex version is suggested that can be efficiently implemented in real time. Extensive simulation results are presented to demonstrate the improved performance of the LMMSE MP estimator over the conventional MP estimator. By using a sufficiently long symmetrical observation window, the LMMSE estimator does not suffer from the block length effect, which leads to much performance gain over the VV/MP estimator especially at high Signal-to-noise ratio (SNR) and high phase noise. A phase unwrapping algorithm is also presented for accurate unwrapping of the estimated carrier phase before it is used in data detection. The proposed LMMSE carrier phase estimator is suitable for implementing a coherent receiver at all SNRs.Department of Electronic and Information Engineering201909 bcrcpublished_fina