Relevant bibliographies by topics / Generalized Eigen Value Beamforming

Academic literature on the topic 'Generalized Eigen Value Beamforming'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Generalized Eigen Value Beamforming"

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Feng, Shuai, Yadan Wang, Chichao Zheng, Zhihui Han, and Hu Peng. "Neighborhood Singular Value Decomposition Filter and Application in Adaptive Beamforming for Coherent Plane-Wave Compounding." Applied Sciences 10, no. 16 (August 12, 2020): 5595. http://dx.doi.org/10.3390/app10165595.

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Coherent plane-wave compounding (CPWC) is widely used in medical ultrasound imaging, in which plane-waves tilted at multiple angles are used to reconstruct ultrasound images. CPWC helps to achieve a balance between frame rate and image quality. However, the image quality of CPWC is limited due to sidelobes and noise interferences. Filtering techniques and adaptive beamforming methods are commonly used to suppress noise and sidelobes. Here, we propose a neighborhood singular value decomposition (NSVD) filter to obtain high-quality images in CPWC. The NSVD filter is applied to adaptive beamforming by combining with adaptive weighting factors. The NSVD filter is advantageous because of its singular value decomposition (SVD) and smoothing filters, performing the SVD processing in neighboring regions while using a sliding rectangular window to filter the entire imaging region. We also tested the application of NSVD in adaptive beamforming. The NSVD filter was combined with short-lag spatial coherence (SLSC), coherence factor (CF), and generalized coherence factor (GCF) to enhance performances of adaptive beamforming methods. The proposed methods were evaluated using simulated and experimental datasets. We found that NSVD can suppress noise and achieve improved contrast (contrast ratio (CR), contrast-to-noise ratio (CNR) and generalized CNR (gCNR)) compared to CPWC. When the NSVD filter is used, adaptive weighting methods provide higher CR, CNR, gCNR and speckle signal-to-noise ratio (sSNR), indicating that NSVD is able to improve the imaging performance of adaptive beamforming in noise suppression and speckle pattern preservation.
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Om, Chol Nam, Hyok Kwak, Chong Il Kwak, Song Gum Ho, and Hyon Gyong Jang. "Multichannel Speech Enhancement of Target Speaker Based on Wakeup Word Mask Estimation with Deep Neural Network." International Journal of Advanced Networking and Applications 15, no. 01 (2023): 5754–59. http://dx.doi.org/10.35444/ijana.2023.15101.

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In this paper, we address a multichannel speech enhancement method based on wakeup word mask estimation using Deep Neural Network (DNN). It is thought that the wakeup word is an important clue for target speaker. We use a DNN to estimate the wakeup word mask and noise mask and apply them to separate the mixed wakeup word signal into target speaker’s speech and background noise. Convolutional Recurrent Neural Network (CRNN) is used to exploit both short and long term time-frequency dependencies of sequences such as speech signals. Generalized Eigen Vector (GEV) beamforming estimates the spatial filter by using the masks to enhance the following speech command of target speaker and reduce undesirable noise. Experiment results show that the proposal provides more robust to noise, so that improves the Signal-to-Noise Ratio (SNR) and speech recognition accuracy.
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Kumar, V., and R. Singh. "Response Due To Impulsive Force In Generalized Thermomicrostretch Elastic Solid." International Journal of Applied Mechanics and Engineering 20, no. 3 (August 1, 2015): 487–502. http://dx.doi.org/10.1515/ijame-2015-0033.

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Abstract A two dimensional Cartesian model of a generalized thermo-microstretch elastic solid subjected to impulsive force has been studied. The eigen value approach is employed after applying the Laplace and Fourier transforms on the field equations for L-S and G-L model of the plain strain problem. The integral transforms have been inverted into physical domain numerically and components of normal displacement, normal force stress, couple stress and microstress have been illustrated graphically.
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Wang, Zheng, Yan Jun Li, and Xiao Wei Sun. "Satellite Fault Detection and Isolation through Decoupling Parity Space." Applied Mechanics and Materials 110-116 (October 2011): 4406–14. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.4406.

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In order to detect and isolate orbiting satellite actuator faults, a decoupling parity space method was extended. The decoupling parity vector was obtained using this method by singular value decomposition. Sometimes this vector may not exist, then by singular value substitution or generalized Eigen value method was used for solving the optimal approximation. The vector can easily make satellite actuator fault detected and isolated. The simulation results showed the effectiveness of the proposed algorithm.
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Roy, Sourov, and Abhijit Lahiri. "A Study on Fractional Order Thermoelastic Half Space." International Journal of Applied Mechanics and Engineering 25, no. 4 (December 1, 2020): 191–202. http://dx.doi.org/10.2478/ijame-2020-0058.

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AbstractIn this paper, we consider a one dimensional problem on a fractional order generalized thermoelasticity in half space subjected to an instantaneous heat source. The Laplace transform as well as eigen value approach techniques are applied to solve the governing equations of motion and heat conduction. Closed form solutions for displacement, temperature and stress are obtained and presented graphically.
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Singh, R., and V. Kumar. "Interaction Due to Mechanical Source in Generalized Thermo Microstretch Elastic Medium." International Journal of Applied Mechanics and Engineering 19, no. 2 (May 1, 2014): 347–63. http://dx.doi.org/10.2478/ijame-2014-0023.

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Abstract The eigen value approach, following the Laplace and Hankel transformation has been employed to find a general solution of the field equations in a generalized thermo microstretch elastic medium for an axisymmetric problem. An infinite space with the mechanical source has been applied to illustrate the utility of the approach. The integral transformations have been inverted by using a numerical inversion technique to obtain normal displacement, normal force stress, couple stress and microstress in the physical domain. Numerical results are shown graphically
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Wang, Yan, and Zhong Min Wang. "Stability of a Cracked Viscoelastic Plate of Varying Thickness Subjected to Follower Force." Advanced Materials Research 243-249 (May 2011): 298–303. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.298.

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The stability of the cracked visoelastic rectangular plate of varying thickness subjected to uniformly distributed tangential follower force is investigated. Two models describing thickness variation are parabolic and linear variations along one edge of the plate. This is done in order to show how critical loads for cracked visoelastic thin plate subjected to follower force can be obtained using the two-dimensional viscoelastic differential constitutive relation and the thin-plate theory. The differential equations in the Laplace domain are established. The complex eigen-value equations are derived by the differential quadrature method. The generalized eigen-value under different boundary conditions is calculated. The effects of the plate parameters, the crack parameters and the dimensionless delay time on the stability of the viscoelastic plates are analyzed. The crack is found to change the type of instability and reduce the stability of varying thickness viscoelastic plate.
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Luo, Han-Wu, Fang Li, Guang Sun, Shi-Gang Cui, and Nan Lin. "Singular Value Decomposition-Based Generalized Side Lobe Canceller Beamforming Method for Ultrasound Imaging." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 07 (March 14, 2018): 1854017. http://dx.doi.org/10.1142/s0218001418540174.

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In the previous studies, eigenspace-based minimum variance (ESBMV) algorithms were proposed, however, the quality of the algorithm will degrade in low signal to noise occasions. In this study, a singular value decomposition generalized side lobe canceller (SVD-GSC) beamforming method based on the GSC is proposed. The sample covariance matrix is eigendecomposed, and a kind of further SVD is introduced to establish the noise space and the signal space, respectively. After that, the weighting vectors acquired by GSC are projected into the left singular space of the desired signal space. The performance of the proposed method is investigated by both of the simulation and experimental data. And the sound velocity error is also investigated in this paper. The imaging quality of point targets are measured by the [Formula: see text][Formula: see text]dB main lobe width and the peak side lobe (PSL). The contrast ratio (CR) is introduced to describe the quality of cyst phantom. Both the point targets and cyst phantom simulation show that the proposed SVD-GSC performs better in terms of spatial resolution, PSL and CR. Furthermore, the proposed method has a stronger robustness than the traditional GSC.
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Singh, R., and V. Kumar. "Eigen value approach to two dimensional problem in generalized magneto micropolar thermoelastic medium with rotation effect." International Journal of Applied Mechanics and Engineering 21, no. 1 (February 1, 2016): 205–19. http://dx.doi.org/10.1515/ijame-2016-0013.

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Abstract In this study an eigen value approach has been employed to examine the mechanical force applied along with a transverse magnetic field in a two dimensional generalized magneto micropolar thermoelastic infinite space. Results have been obtained by treating rotational velocity to be invariant. Integral transforms have been applied to solve the system of partial differential equations. Components of displacement, normal stress, tangential couple stress, temperature distribution, electric field and magnetic field have been obtained in the transformed domain. Finally numerical inversion technique has been used to invert the result in the physical domain. Graphical analysis has been done to described the study.
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Chakraborty, S. "Eigen Value Approach to Generalized Thermoelastic Interactions in an Unbounded Body with Circular Cylindrical Cavity without Energy Dissipation." International Journal of Applied Mechanics and Engineering 22, no. 4 (December 20, 2017): 811–25. http://dx.doi.org/10.1515/ijame-2017-0053.

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Abstract The theory of generalized thermoelasticity in the context of the Green-Naghdi model -II (thermoelasticity without energy dissipation) is studied for an infinite circular cylindrical cavity subjected to two different cases of thermoelastic interactions when the radial stress is zero for (a) maintaining constant temperature and (b) temperature is varying exponentially with time. The Laplace transform from time variable is used to the governing equations to formulate a vector matrix differential equation which is then solved by the eigen value approach. Numerical computations for the displacement component, temperature distribution and components of thermal stress have been made and presented graphically.
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Dissertations / Theses on the topic "Generalized Eigen Value Beamforming"

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Gorrell, Genevieve. "Generalized Hebbian Algorithm for Dimensionality Reduction in Natural Language Processing." Doctoral thesis, Linköping : Department of Computer and Information Science, Linköpings universitet, 2006. http://www.bibl.liu.se/liupubl/disp/disp2006/tek1045s.pdf.

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Conference papers on the topic "Generalized Eigen Value Beamforming"

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Kumar, Rohit, Anirudh Sreeram, Anurenjan Purushothaman, and Sriram Ganapathy. "Unsupervised Neural Mask Estimator for Generalized Eigen-Value Beamforming Based Asr." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9054550.

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Ke, Minyi, and Huazhong Jin. "Solving Generalized Eigen-Value by Using Orthogonal Projection LANCZOS Algorithm." In 2010 2nd International Workshop on Intelligent Systems and Applications (ISA). IEEE, 2010. http://dx.doi.org/10.1109/iwisa.2010.5473674.

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Hajipour, Sepideh, Mohammad B. Shamsollahi, Hossein Mamaghanian, and Vahid Abootalebi. "Extracting Single Trial Visual Evoked Potentials Using Iterative Generalized Eigen Value Decomposition." In 2008 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 2008. http://dx.doi.org/10.1109/isspit.2008.4775708.

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Senaratne, Damith, and Chintha Tellambura. "Generalized Singular Value Decomposition for Coordinated Beamforming in MIMO Systems." In GLOBECOM 2010 - 2010 IEEE Global Communications Conference. IEEE, 2010. http://dx.doi.org/10.1109/glocom.2010.5684109.

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Li, Changli. "A Unifying Framework for Blind Source Separation Algorithms Based on Generalized Eigen-value Decomposition." In SPML 2022: 2022 5th International Conference on Signal Processing and Machine Learning. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3556384.3556404.

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Khamidullina, Liana, Andre L. F. de Almeida, and Martin Haardt. "Multilinear Generalized Singular Value Decomposition (Ml-gsvd) with Application to Coordinated Beamforming in Multi-user Mimo Systems." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053691.

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Ndjinga, Michae¨l, Anela Kumbaro, Pascal Laurent-Gengoux, and Florian De Vuyst. "Fast and Robust Computation of the Matrix Absolute Value Function: Application to Roe Solver for the Numerical Simulation of Two-Phase Flow Models." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89817.

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The application of the generalized Roe scheme to the numerical simulation of two-phase flow models requires a fast and robust computation of the absolute value of the system matrix. In several models such as the two-fluid model or a general multi-field model, this matrix has a non trivial eigenstructure and the eigen decomposition is often ill conditioned. We give two general algorithms avoiding the diagonalization process: an iterative computation, which turns out to be an exact computation, and an interpolation algorithm which is faster and can handle the case of complex eigenvalues. The knowledge of the characteristic polynomial gives us an easy access to the eigenvalues but however, the iterative scheme can be used with only estimates of the eigenvalues, using for example Gershgorin’s disk localization. We finally show some numerical results of two-fluid model simulations involving interfacial pressure and virtual mass force models.
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