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Relevant bibliographies by topics / Generalized Eigen Value Beamforming

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Academic literature on the topic 'Generalized Eigen Value Beamforming'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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Journal articles on the topic "Generalized Eigen Value Beamforming"

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Raj, Kumar Verma* Mrs. Akanksha Awasthi. "EFFICIENCY IMPROVEMENT OF SD PROCESSOR BASED ON CRDC ALGORITHM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 4 (2017): 368–73. https://doi.org/10.5281/zenodo.556252.

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One such complex algorithm is Singular-value Decomposition (SD) which is an important algorithm with applications in varied domains of signal processing such as direction estimation, spectrum analysis and systems identification. It is a generalized extension to the eigen-decomposition for non-square matrices and is hence of great importance, particularly for subspace based algorithms in signal processing. But SD is known to be a very complicated algorithm with computational complexity ~O (N3) (for a N x N square matrix). For real-time computation of such a complex algorithm the use of a parall

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Bishop, Jordan W., Philip S. Blom, and Jeremy Webster. "Generalized least squares beamforming of infrasound data." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A70. http://dx.doi.org/10.1121/10.0026835.

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Generalized least squares (GLS) beamforming is a method for determining the direction of arrival and trace velocity of transient infrasound signals that may be otherwise obscured by persistent, correlated background noise, such as microbaroms. This method complements the adaptive F-detector by using an estimate of the noise background to form a generalized power ratio, which is used to estimate plane wave parameters (trace velocity and back-azimuth). Using a suite of fully synthetic signals, we first investigate the resolving power of the GLS estimator as a function of signal to noise ratio co

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Lee, Jeunghoon, Yongsung Park, and Peter Gerstoft. "Generalized frequency-sum beamforming for low frequencies." Journal of the Acoustical Society of America 156, no. 6 (2024): 4037–47. https://doi.org/10.1121/10.0034621.

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For direction-of-arrival (DOA) estimation in the low-frequency range, we improve spatial resolution using generalized frequency-sum (gFS) beamforming with the Qth order frequency-sum autoproduct. The order Q does not exceed the maximum value, determined by the criteria that the sum of frequencies used to create the autoproduct must be less than the array's spatial Nyquist frequency. Unlike other high-resolution beamformers, gFS maintains stable performance even with a single snapshot and is unaffected by the coherence of steering vectors. Rigorous analysis using the multinomial expansion has s

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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

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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 (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 beamformi

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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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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 (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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Roy, Sourov, and Abhijit Lahiri. "A Study on Fractional Order Thermoelastic Half Space." International Journal of Applied Mechanics and Engineering 25, no. 4 (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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Ganaie, M. A., Yogesh Kumar, Anshika Bhatia, and Chavda Jayrajsinh. "Ensemble deep generalized eigen-value random vector functional link network for classification problems." Computers and Electrical Engineering 123 (April 2025): 110040. https://doi.org/10.1016/j.compeleceng.2024.110040.

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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 (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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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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Kumar, Rohit. "Mask Estimator Approaches For Audio Beamforming." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4711.

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Beamforming is a family of algorithms and performs a spatial filtering operation that makes it possible to map the distribution of the sources at a certain distance from the microphones and therefore locate the strongest source. The state-of-art methods for acoustic beamforming in multi-channel ASR are based on a neural mask estimator that predicts the presence of speech and noise, which in turn used to determine spatial filter coefficients value. These models are trained using a paired corpus of clean and noisy recordings (teacher model). In this thesis, we attempt to move away fr

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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. 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 kno

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