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M W Coughlin - One of the best experts on this subject based on the ideXlab platform.

  • wiener Filtering with a seismic underground array at the sanford underground research facility
    Classical and Quantum Gravity, 2014
    Co-Authors: M W Coughlin, J Harms, N Christensen, V Dergachev, Riccardo Desalvo, S Kandhasamy, V Mandic
    Abstract:

    A seismic array has been deployed at the Sanford Underground Research Facility in the former Homestake mine, South Dakota, USA, to study the underground seismic environment. This includes exploring the advantages of constructing a third-generation gravitational-wave (GW) detector underground. A major noise source for these detectors would be Newtonian noise (NN), which is induced by fluctuations in the local gravitational field. The hope is that a combination of a low-noise seismic environment and coherent noise subtraction using seismometers in the vicinity of the detector could suppress the NN to below the projected noise floor for future GW detectors. In this paper, certain properties of the NN subtraction problem are studied by applying similar techniques to data of a seismic array. We use Wiener Filtering techniques to subtract coherent noise in a seismic array in the frequency band 0.05–1 Hz. This achieves more than an Order of magnitude noise cancellation over a majority of this band. The variation in the Wiener-Filter coefficients over the course of the day, including how local activities impact the Filter, is analyzed. We also study the variation in coefficients over the course of a month, showing the stability of the Filter with time. How varying the Filter Order affects the subtraction performance is also explored. It is shown that optimizing Filter Order can significantly improve subtraction of seismic noise.

  • wiener Filtering with a seismic underground array at the sanford underground research facility
    arXiv: General Relativity and Quantum Cosmology, 2014
    Co-Authors: M W Coughlin, J Harms, N Christensen, V Dergachev, Riccardo Desalvo, S Kandhasamy, V Mandic
    Abstract:

    A seismic array has been deployed at the Sanford Underground Research Facility in the former Homestake mine, South Dakota, to study the underground seismic environment. This includes exploring the advantages of constructing a third-generation gravitational-wave detector underground. A major noise source for these detectors would be Newtonian noise, which is induced by fluctuations in the local gravitational field. The hope is that a combination of a low-noise seismic environment and coherent noise subtraction using seismometers in the vicinity of the detector could suppress the Newtonian noise to below the projected noise floor for future gravitational-wave detectors. In this paper, we use Wiener Filtering techniques to subtract coherent noise in a seismic array in the frequency band 0.05 -- 1\,Hz. This achieves more than an Order of magnitude noise cancellation over a majority of this band. We show how this subtraction would benefit proposed future low-frequency gravitational wave detectors. The variation in the Wiener Filter coefficients over the course of the day, including how local activities impact the Filter, is analyzed. We also study the variation in coefficients over the course of a month, showing the stability of the Filter with time. How varying the Filter Order affects the subtraction performance is also explored. It is shown that optimizing Filter Order can significantly improve subtraction of seismic noise, which gives hope for future gravitational-wave detectors to address Newtonian noise.

V Mandic - One of the best experts on this subject based on the ideXlab platform.

  • wiener Filtering with a seismic underground array at the sanford underground research facility
    Classical and Quantum Gravity, 2014
    Co-Authors: M W Coughlin, J Harms, N Christensen, V Dergachev, Riccardo Desalvo, S Kandhasamy, V Mandic
    Abstract:

    A seismic array has been deployed at the Sanford Underground Research Facility in the former Homestake mine, South Dakota, USA, to study the underground seismic environment. This includes exploring the advantages of constructing a third-generation gravitational-wave (GW) detector underground. A major noise source for these detectors would be Newtonian noise (NN), which is induced by fluctuations in the local gravitational field. The hope is that a combination of a low-noise seismic environment and coherent noise subtraction using seismometers in the vicinity of the detector could suppress the NN to below the projected noise floor for future GW detectors. In this paper, certain properties of the NN subtraction problem are studied by applying similar techniques to data of a seismic array. We use Wiener Filtering techniques to subtract coherent noise in a seismic array in the frequency band 0.05–1 Hz. This achieves more than an Order of magnitude noise cancellation over a majority of this band. The variation in the Wiener-Filter coefficients over the course of the day, including how local activities impact the Filter, is analyzed. We also study the variation in coefficients over the course of a month, showing the stability of the Filter with time. How varying the Filter Order affects the subtraction performance is also explored. It is shown that optimizing Filter Order can significantly improve subtraction of seismic noise.

  • wiener Filtering with a seismic underground array at the sanford underground research facility
    arXiv: General Relativity and Quantum Cosmology, 2014
    Co-Authors: M W Coughlin, J Harms, N Christensen, V Dergachev, Riccardo Desalvo, S Kandhasamy, V Mandic
    Abstract:

    A seismic array has been deployed at the Sanford Underground Research Facility in the former Homestake mine, South Dakota, to study the underground seismic environment. This includes exploring the advantages of constructing a third-generation gravitational-wave detector underground. A major noise source for these detectors would be Newtonian noise, which is induced by fluctuations in the local gravitational field. The hope is that a combination of a low-noise seismic environment and coherent noise subtraction using seismometers in the vicinity of the detector could suppress the Newtonian noise to below the projected noise floor for future gravitational-wave detectors. In this paper, we use Wiener Filtering techniques to subtract coherent noise in a seismic array in the frequency band 0.05 -- 1\,Hz. This achieves more than an Order of magnitude noise cancellation over a majority of this band. We show how this subtraction would benefit proposed future low-frequency gravitational wave detectors. The variation in the Wiener Filter coefficients over the course of the day, including how local activities impact the Filter, is analyzed. We also study the variation in coefficients over the course of a month, showing the stability of the Filter with time. How varying the Filter Order affects the subtraction performance is also explored. It is shown that optimizing Filter Order can significantly improve subtraction of seismic noise, which gives hope for future gravitational-wave detectors to address Newtonian noise.

S Kandhasamy - One of the best experts on this subject based on the ideXlab platform.

  • wiener Filtering with a seismic underground array at the sanford underground research facility
    Classical and Quantum Gravity, 2014
    Co-Authors: M W Coughlin, J Harms, N Christensen, V Dergachev, Riccardo Desalvo, S Kandhasamy, V Mandic
    Abstract:

    A seismic array has been deployed at the Sanford Underground Research Facility in the former Homestake mine, South Dakota, USA, to study the underground seismic environment. This includes exploring the advantages of constructing a third-generation gravitational-wave (GW) detector underground. A major noise source for these detectors would be Newtonian noise (NN), which is induced by fluctuations in the local gravitational field. The hope is that a combination of a low-noise seismic environment and coherent noise subtraction using seismometers in the vicinity of the detector could suppress the NN to below the projected noise floor for future GW detectors. In this paper, certain properties of the NN subtraction problem are studied by applying similar techniques to data of a seismic array. We use Wiener Filtering techniques to subtract coherent noise in a seismic array in the frequency band 0.05–1 Hz. This achieves more than an Order of magnitude noise cancellation over a majority of this band. The variation in the Wiener-Filter coefficients over the course of the day, including how local activities impact the Filter, is analyzed. We also study the variation in coefficients over the course of a month, showing the stability of the Filter with time. How varying the Filter Order affects the subtraction performance is also explored. It is shown that optimizing Filter Order can significantly improve subtraction of seismic noise.

  • wiener Filtering with a seismic underground array at the sanford underground research facility
    arXiv: General Relativity and Quantum Cosmology, 2014
    Co-Authors: M W Coughlin, J Harms, N Christensen, V Dergachev, Riccardo Desalvo, S Kandhasamy, V Mandic
    Abstract:

    A seismic array has been deployed at the Sanford Underground Research Facility in the former Homestake mine, South Dakota, to study the underground seismic environment. This includes exploring the advantages of constructing a third-generation gravitational-wave detector underground. A major noise source for these detectors would be Newtonian noise, which is induced by fluctuations in the local gravitational field. The hope is that a combination of a low-noise seismic environment and coherent noise subtraction using seismometers in the vicinity of the detector could suppress the Newtonian noise to below the projected noise floor for future gravitational-wave detectors. In this paper, we use Wiener Filtering techniques to subtract coherent noise in a seismic array in the frequency band 0.05 -- 1\,Hz. This achieves more than an Order of magnitude noise cancellation over a majority of this band. We show how this subtraction would benefit proposed future low-frequency gravitational wave detectors. The variation in the Wiener Filter coefficients over the course of the day, including how local activities impact the Filter, is analyzed. We also study the variation in coefficients over the course of a month, showing the stability of the Filter with time. How varying the Filter Order affects the subtraction performance is also explored. It is shown that optimizing Filter Order can significantly improve subtraction of seismic noise, which gives hope for future gravitational-wave detectors to address Newtonian noise.

David V Anderson - One of the best experts on this subject based on the ideXlab platform.

  • a reconfigurable mixed signal vlsi implementation of distributed arithmetic used for finite impulse response Filtering
    IEEE Transactions on Circuits and Systems, 2008
    Co-Authors: E Ozalevli, W Huang, P Hasler, David V Anderson
    Abstract:

    A reconfigurable implementation of distributed arithmetic (DA) for post-processing applications is described. The input of DA is received in digital form and its analog coefficients are set by using the floating-gate voltage references. The effect of the offset and gain errors on DA computational accuracy is analyzed, and theoretical results for the limitations of this design strategy are presented. This architecture is fabricated in a 0.5-mum CMOS process, and configured as a 16-tap finite impulse response (FIR) Filter to demonstrate the reconfigurability and computational efficiency. The measurement results for comb, low-pass, and bandpass Filters at 32/50-kHz sampling frequencies are presented. This implementation occupies around 1.125 mm2 of die area and consumes 16 mW of static power. The Filter Order can be increased at the cost of 0.011 mm2 of die area and 0.02 mW of power per tap.

  • hardware efficient distributed arithmetic architecture for high Order digital Filters
    International Conference on Acoustics Speech and Signal Processing, 2005
    Co-Authors: Heejong Yoo, David V Anderson
    Abstract:

    The paper presents a new memory-efficient distributed arithmetic (DA) architecture for high-Order FIR Filters. The proposed architecture is based on a memory reduction technique for DA look-up-tables (LUTs); it requires fewer transistors for high-Order Filters than original LUT-based DA, DA-offset binary coding (DA-OBC), and the LUT-less DA-OBC. Recursive iteration of the memory reduction technique significantly increases the maximum number of Filter Order implementable on an FPGA platform by not only saving transistor counts, but also balancing hardware usage between logic element (LE) and memory. FPGA implementation results confirm that the proposed DA architecture can implement a 1024-tap FIR Filter with significantly smaller area usage (<50%) than the original LUT-based DA and the LUT-less DA-OBC.

Yu Yu - One of the best experts on this subject based on the ideXlab platform.

  • optimally designed single fiber bragg grating Filter scheme for rz ook dpsk dqpsk to nrz ook dpsk dqpsk format conversion
    Optics Express, 2014
    Co-Authors: Javid Atai, Adenowo Gbadebo, Bangyun Xiong, Haishu Tang, Weili Yang, Yu Yu
    Abstract:

    We investigate return-to-zero (RZ) to non-return-to-zero (NRZ) format conversion by means of the linear time-invariant system theory. It is shown that the problem of converting random RZ stream to NRZ stream can be reduced to constructing an appropriate transfer function for the linear Filter. This approach is then used to propose novel optimally-designed single fiber Bragg grating (FBG) Filter scheme for RZ-OOK/DPSK/DQPSK to NRZ-OOK/DPSK/DQPSK format conversion. The spectral response of the FBG is designed according to the optical spectra of the algebraic difference between isolated NRZ and RZ pulses, and the Filter Order is optimized for the maximum Q-factor of the output NRZ signals. Experimental results as well as simulations show that such an optimallydesigned FBG can successfully perform RZ-OOK/DPSK/DQPSK to NRZOOK/ DPSK/DQPSK format conversion.