53rd Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA,

Abbrevation

Asilomar

Link

http://www.asilomarsscconf.org/

City

Pacific Grove, CA

Deadline Paper

2019-05-08

Start Date

2019-11-03

End Date

2019-11-06

Abstract

The Asilomar Conference on Signals, Systems, and Computers is a yearly Conference held on the Asilomar Grounds in Pacific Grove, CA, USA. The IEEE Signal Processing Society is a technical co–sponsor. It provides a forum for presenting recent and novel work in various areas of theoretical and applied signal processing. General areas of interest to the forum include: Architecture and Implementation Array Signal Processing Biomedical Signal & Image Processing Communication Systems MIMO Communications & Signal Processing Networks Signal Processing & Adaptive Systems Speech, Image & Video Processing Recent meetings have presented a wide array of work ranging from results in blind source separation, random networks, MIMO communications, low dimensional signal models to applications of signal processing in control, wireless communications, financial engineering, smart grids, biological systems, medical imaging, and big data. Authors are invited to submit papers in the following areas: A. Communications Systems: 1. Modulation and Coding, 2. Cognitive Radios and Spectrum Sharing, 3. Ultra–Low Latency, 4. Optimization, 5. Physical Layer Security and Privacy, 6. mmWave, 7. Underwater, 8. Wireline and Optical Communications, 9. Satellite, 10. IoT, 11. V2V, 12. 5G and Beyond B. MIMO Communications and Signal Processing: 1. Multiuser and Massive MIMO, 2. Channel Estimation and Equalization, 3. Full–Duplex, 4. Cooperation and Relaying, 5. Interference Management and Awareness, 6. mmWave, 7. Optimization C. Networks: 1. Wireless Networks, 2. IoT, 3. Network Info Theory, 4. Optimization, 5. Graph Signal Processing, 6. Social Networks, 7. Distributed Algorithms, 8. Security, 9. Computational Offloading, 10. Self–Organizing Networks, 11. UAV and V2V Networks, 12. Smart Grid D. Adaptive Systems, Machine Learning, Data Analytics: 1. Compressive Sensing, 2. Machine Learning, 3. Estimation, Inference and Learning, 4. Adaptive and Cognitive Systems, 5. Adaptive Filtering, 6. Fast and Scalable Algorithms, 7. HighDimensional Large–Scale Data, 8. Distributed Computation and Storage, 9. Deep Learning E. Array Processing and Multisensor Systems: 1. Source Localization and Separation, 2. Beamforming, 3. Robust Methods, 4. MIMO and Cognitive Radars, 5. Tensor Models and Processing, 6. Sparse Sensor Arrays, 7. Optimization, 8. Applications (Imaging, Radar, Sonar, Microphone Arrays) F. Biomedical Signal and Image Processing: 1. Molecular and Medical Imaging, 2. Computational Imaging, 3. Neuroengineering, 4. Processing of Physiological Signals, 5. Bioinformatics and Computational Biology, 6. Image Registration and Multimodal Imaging, 7. Functional Imaging, 8. Brain Machine Interfaces, 9. Neural Signal Processing, 10. Visualization G. Architectures and Implementation: 1. Energy Efficiency, 2. Accelerators, 3. Reconfigurable Processing, 4. Non–idealities, 5. Multicore, Many–core and Distributed Systems, 6. Algorithm and Architecture Co–optimization, 7. Architectures for Big Data, 8. Architectures for Machine Learning, 9. Cyber–Physical System, 10. Test–beds, 11. Mixed–Signal Processors, 12. Arithmetic and Algorithms H. Speech, Image and Video Processing: 1. Speech Processing, 2. Speech Coding, 3. Speech Recognition, 4. Audio Coding, 5. Document Processing, 6. Models for Signal and Image Processing, 7. Image and Video Coding and Communication, 8. Learning and Autonomous Systems, 9. Computer Vision, Image and Video Analysis, 10. Image and Video Forensics, 12. Biometrics and Security, 13. Hybrid Imaging Systems