PPT-A Multipath Sparse Beamforming Method

Author : pasty-toler | Published Date : 2016-12-12

Afsaneh Asaei Joint work with baran gözcü Volkan Cevher Mohammad J Taghizadeh Bhiksha Raj Herve Bourlard Acquisition model Sensor array acquisition

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A Multipath Sparse Beamforming Method: Transcript


Afsaneh Asaei Joint work with baran gözcü Volkan Cevher Mohammad J Taghizadeh Bhiksha Raj Herve Bourlard Acquisition model Sensor array acquisition forward model. Volkan . Cevher. volkan.cevher@epfl.ch. Laboratory. for Information . . and Inference Systems - . LIONS. . http://lions.epfl.ch. Linear Dimensionality Reduction. Compressive sensing. non-adaptive measurements. Raja . Giryes. ICASSP 2011. Volkan. Cevher. Agenda. The sparse approximation problem. Algorithms and pre-run guarantees. Online performance guarantees. Performance bound. Parameter selection. 2. Sparse approximation. J. Friedman, T. Hastie, R. . Tibshirani. Biostatistics, 2008. Presented by . Minhua. Chen. 1. Motivation. Mathematical Model. Mathematical Tools. Graphical LASSO. Related papers. 2. Outline. Motivation. massive. MU-MIMO. Lin Zhong. http://. recg.org. Guiding Principles. Spectrum is scarce. Hardware is cheap, and getting cheaper. 2. Antennas. 3. 4. Data 1. Omni-directional base station. Poor spatial reuse; poor power efficiency; high inter-cell interference. Aditya. Chopra and Prof. Brian L. Evans. Department of Electrical and Computer Engineering. The University of Texas at Austin. 1. Introduction. Finite Impulse Response (FIR) model of transmission media. Full storage:. . 2-dimensional array.. (nrows*ncols) memory.. 31. 0. 53. 0. 59. 0. 41. 26. 0. 31. 41. 59. 26. 53. 1. 3. 2. 3. 1. Sparse storage:. . Compressed storage by columns . (CSC).. Three 1-dimensional arrays.. Reza . Sherafat. . Kazemzadeh. . AND. . Hans-Arno Jacobsen. Middleware Systems Research Group. University of Toronto. . Agenda. The content-based publish/subscribe model. Characteristics and challenges. Tianzhu . Zhang. 1,2. , . Adel Bibi. 1. , . Bernard Ghanem. 1. 1. 2. Circulant. Primal . Formulation. 3. Dual Formulation. Fourier Domain. Time . Domain. Here, the inverse Fourier transform is for each . Author: . Vikas. . Sindhwani. and . Amol. . Ghoting. Presenter: . Jinze. Li. Problem Introduction. we are given a collection of N data points or signals in a high-dimensional space R. D. : xi ∈ . Song Fang, . Yao Liu. . Wenbo. . Shen. , . Haojin. Zhu. 1. Content. Location. . d. istinction. Virtual. . m. ultipath. . attacks. Defense. . Experiment. . Summary. . 2. Goal. . of. . l. Slide . 1. Protocols for Hybrid Beamforming in 802.11ay. Date:. 2017-03-12. Authors:. Hybrid Beamforming in 802.11ay. Hybrid beamforming has been proposed in 802.11ay to enable transmission of multiple streams for SU and MU-MIMO [1].. Microphone Array. 06/01/2012. Beamforming. Microphone Array – Key Features. Industry’s first professional grade . beamforming. microphone array. Patent-pending . beamforming. & adaptive . Decimeter-level . WiFi. Localization and Orientation with a Single Unaided Receiver. Elahe Soltanaghaei Avinash Kalyanaraman Kamin Whitehouse. Unaided Localization:. 2. Unaided Localization:. Shi & Bo. What is sparse system. A system of linear equations is called sparse if . only a relatively small . number of . its matrix . elements . . are nonzero. It is wasteful to use general methods .

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