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Showing 1 to 12 of 12 for “"colored noise"”.

  1. Ship Rolling Motion Subjected to Colored Noise Excitation

    … damping, nonlinear restoring moment, the white noise wave excitation, and the colored noise wave excitation. As an example, an ocean survey vessel T-AGOS is considered to sail in the seas of Pierson-Moskowitz wave spectrum. It is found that the probability decreases as time progresses and it …

    tdl Repository record for Ship Rolling Motion Subjected to Colored Noise Excitation (opens in a new tab)

  2. Parameter estimation for exponential signals in colored noise using the pseudo-autoregressive (PAR) model

    … spaced signals assume either uncorrelated noise or require knowledge of the noise covariance matrix. These assumptions are often invalid in practice. Here we propose a Pseudo-Autoregressive (PAR (M, <i>p</i>) model for estimation of an arbitrary number of signals M in the presence of a …

    vt Repository record for Parameter estimation for exponential signals in colored noise using the pseudo-autoregressive (PAR) model (opens in a new tab)

  3. Synchronization and Signal Enhancement in Nonlinear and Stochastic Systems

    … we study the consequences of adding a colored noise source to the classic two-state model of stochastic resonance. We will find that when both white and colored noise sources are present, stochastic resonance will occur as a function of colored noise strength only if the correlation …

    gatech Repository record for Synchronization and Signal Enhancement in Nonlinear and Stochastic Systems (opens in a new tab)

  4. Enhanced Weak Signal Detection Using SVM Based Correlation Algorithm

    … or small in amplitude compared to any corruptive noise. To address this a kernel transform based cross-correlation algorithm is proposed for the application of weak signal detection. The algorithm leverages kernel methods to inflate SNR of the data and enhance the noise rejection capabilities of …

    vt Repository record for Enhanced Weak Signal Detection Using SVM Based Correlation Algorithm (opens in a new tab)

  5. Stochastic stability of power systems

    … dynamic model, coupled with the presence of noise, complicates traditional methods. We approach the problem in this work through dimensional reduction in nonlinear filtering. This can be understood as a combination of filtering and averaging. Recent advances in the development of particle …

    uiuc Repository record for Stochastic stability of power systems (opens in a new tab)

  6. Electromagnetic Vector-Sensor Direction-of-Arrival Estimation in the Presence of Interference

    … cumulants only, is robust to spatially colored noise, and is capable of estimating the DOA of more sources than sensor elements.

    vt Repository record for Electromagnetic Vector-Sensor Direction-of-Arrival Estimation in the Presence of Interference (opens in a new tab)

  7. Sparsity based methods for target localization in multi-sensor radar

    … are obtained in the presence of Gaussian colored noise of unknown covariance matrix, but for which secondary data is available for its estimation. To solve the detection problem two sparsity-based algorithms, the MP-STAP and the MBMP-STAP algorithms are proposed that utilizes knowledge of …

    njit Repository record for Sparsity based methods for target localization in multi-sensor radar (opens in a new tab)

  8. GNSS Integrity Monitoring with Modelling Temporal Correlated Measurement Noise and an Application to RTK

    … and provide timely alarms. GNSS measurement noises are typically assumed to be uncorrelated Gaussian white noises in KF for GNSS integrity monitoring. However, this assumption does not hold in practical applications because GNSS observations can be contaminated by hardware noise, multipath, …

    calgary Repository record for GNSS Integrity Monitoring with Modelling Temporal Correlated Measurement Noise and an Application to RTK (opens in a new tab)

  9. Transient signal detection using GPS position time series

    … position time series because of low signal-to-noise ratios (SNR), correlated noise in space and time and large number of sites in a network. As a systematic detection method, we use state estimation based on Kalman filtering and principal component analysis (PCA). State estimation improves the …

    mit Repository record for Transient signal detection using GPS position time series (opens in a new tab)

  10. Compressive Detection and Estimation with Applications to Cognitive Radio and Radar

    … in the presence of additive clutter (modeled as colored noise) requires knowledge of the clutter covariance matrix. In practice, this is estimated via the sample covariance matrix using samples from the neighboring range bins around the reference bin. By applying compressive sensing, the number …

    washington Repository record for Compressive Detection and Estimation with Applications to Cognitive Radio and Radar (opens in a new tab)

  11. The tuned mass damper inerter for passive vibration control and energy harvesting in dynamically excited structural systems

    … linear single-degree-of-freedom (SDOF) white-noise excited primary systems. For this particular case, optimal TMDI parameters are derived in closed-form as functions of the additional oscillating mass and the inerter constant. Furthermore, pertinent numerical data are furnished, derived by …

    city-london Repository record for The tuned mass damper inerter for passive vibration control and energy harvesting in dynamically excited structural systems (opens in a new tab)

  12. Robust communication in a time-varying noisy environment

    … performance is measured in terms of Signal to Noise Ratio (SNR). The overall performance of a MAMF is described by the SNR Improvement (SNRI) which is the ratio of Output SNR (OSNR) to Input SNR (ISNR). The OSNR and ISNR are the SNR at the output and input of the MAMF respectively. SNRI is …

    vt Repository record for Robust communication in a time-varying noisy environment (opens in a new tab)