Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Signal processing --- Synthetic aperture radar. --- Source separation (Signal processing) --- Digital techniques. --- Digital signal processing --- Digital communications --- Digital electronics --- Separation, Signal --- Separation, Source (Signal processing) --- Signal separation --- SAR (Synthetic aperture radar) --- Coherent radar

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Simon Grimm examines new multi-microphone signal processing strategies that aim to achieve noise reduction and dereverberation. Therefore, narrow-band signal enhancement approaches are combined with broad-band processing in terms of directivity based beamforming. Previously introduced formulations of the multichannel Wiener filter rely on the second order statistics of the speech and noise signals. The author analyses how additional knowledge about the location of a speaker as well as the microphone arrangement can be used to achieve further noise reduction and dereverberation. The Content Directivity Based Reference for the Generalized Multichannel Wiener Filter Reference for the Binaural Multichannel Wiener Filter Wind Noise Reduction for a Closely Spaced Microphone Array Background Noise Simulation based on MIMO Equalization The Target Groups Lecturers and Students in the field of Speech Signal Processing Practitioners of Speech Signal Processing and Noise Reduction The Author Simon Grimm was a research assistant at the Institute of System Dynamics at the HTWG Konstanz, Germany, from October 2014 to March 2018. During his research period, he was working in the area of speech signal processing for multichannel microphone arrangements. He finished his Ph.D. in June 2018. Currently he is employed as a signal processing engineer at a German audio equipment manufacturer.

Computer engineering. --- Engineering mathematics. --- Information systems. --- Electrical Engineering. --- Mathematical and Computational Engineering. --- Information Systems and Communication Service. --- Beamforming. --- Source separation (Signal processing) --- Separation, Signal --- Separation, Source (Signal processing) --- Signal separation --- Signal processing --- Spatial filtering (Signal processing) --- Electrical engineering. --- Applied mathematics. --- Computers. --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Electric engineering

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing. .

Computer science. --- Computer communication systems. --- Numerical analysis. --- Artificial intelligence. --- Computer simulation. --- Image processing. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Artificial Intelligence (incl. Robotics). --- Simulation and Modeling. --- Numeric Computing. --- Computer Communication Networks. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Informatics --- Design perception --- Pattern recognition --- Pictorial data processing --- Picture processing --- Processing, Image --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Fifth generation computers --- Neural computers --- Mathematical analysis --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Science --- Form perception --- Perception --- Figure-ground perception --- Imaging systems --- Optical data processing --- Distributed processing --- Optical pattern recognition. --- Computer vision. --- Electronic data processing. --- Artificial Intelligence. --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Automation --- Source separation (Signal processing) --- Separation, Signal --- Separation, Source (Signal processing) --- Signal separation --- Signal processing --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Optical equipment --- Pattern recognition systems. --- Computer networks. --- Automated Pattern Recognition. --- Computer Vision. --- Computer Modelling. --- Numerical Analysis. --- Pattern classification systems --- Pattern recognition computers --- Computer vision