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Although massive multiple-input multiple-output (MIMO) promises high spectral efficiency, there are several issues that significantly limit the potential gain of massive MIMO, such as severe inter-cell interference, huge channel state information (CSI) overhead/delay, high cost and power consumption of RF chains, and user fairness.
Much effort has been devoted to recovering sparse signals from one-bit measurements in recent years. However, it is still quite challenging to recover signals with high fidelity, which is desired in practical one-bit compressive sensing (1-bit CS) applications. We introduce the notion of Schur-concavity in this paper and propose to construct signals by taking advantage of Schur-Concave functions , which are capable of enhancing sparsity.
The Chair of Theoretical Information Technology has an immediate opening for a
Doctoral student; Postdoctoral student:
Hardware Demonstrator for Post Shannon Communication (E13 TVL) (f/m/d)
TERADYNE
Mixed Signal Board Level Electrical Engineer
North Reading, MA
Contract: 6 Months+
Artech is currently recruiting candidates for a Mixed Signal Board Level Electrical Engineer opportunity located at Teradyne Headquarters in North Reading, MA
September 21-25, 2020
Location: Florence, Italy
April 27-May 1, 2020
Location: Changed to -- Virtual Conference
March 24-27, 2020
Location: Changed to--Virtual Conference
July 6-10, 2020
Location: Changed to -- Virtual Conference
July 11-14, 2021
NOTE: Location changed to--Virtual Conference
(Formelry, Rio de Janeiro, Brazil)
Lecture Date: September 18-19, 2019
Chapter: Malaysia
Chapter Chair: R. Logeswaran
Topics: Signal Processing and the Search for MH370
Beyond the Kalman Filter: 25 Years of Particles and Other Ransom Points
Lecture Date: December 10, 2019
Chapter: Delhi
Chapter Chair: Anubha Gupta
Topics: Set Theoretic Feasibility and Optimality Frameworks for Data Hiding and Privacy
Lecture Date: December 7, 2019
Chapter: Uttar Pradesh
Chapter Chair: Uma Tiwary
Topics: Leveraging Old tricks in a New World: Efficient Generation of
Labeled Data for Deep Learning in Medical Image Segmentation
Lecture Date: October 21, 2019
Chapter: Madras
Chapter Chair: S. Salivahanan
Topic: Signal Processing for Neural Prostheses
Lecture Date: October 18, 2019
Chapter: Kerala
Chapter Chair: Suresh Kumaraswamy
Topic: Signal Processing for Health Monitoring of Aerospace Structures
Lecture Date: October 15, 2019
Chapter: Gujarat
Chapter Chair: Suman Mitra
Topic: Signal Processing for Neural Prostheses
Lecture Date: August 5, 2019
Chapter: Gujarat
Chapter Chair: Suman Mitra
Topic: Sensing Technologies and Applications in Smart Lighting and Beyond
Lecture Date: July 23-24, 2019
Chapter: Hyderabad
Chapter Chair: Lalitha Vadlamani
Topic: Machine Learning in Connected Lighting: Applications and Opportunities
The ELIOT project aims to study communication networks of interconnected devices that lie at the core of many key future technologies such as distributed control systems for autonomous vehicles, sensor networks for structural health monitoring and for smart cities. In addition to reliability, all these applications come with strict requirements in terms of: energy efficiency, security, latency and self-optimization capabilities, and demand for innovative enabling technologies. The
January 18-22, 2021
NOTE: Location changed to--Virtual Conference