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Section: Events
July 6-10, 2020
Location: Changed to -- Virtual Conference
Section: Events
March 24-27, 2020
Location: Changed to--Virtual Conference
Section: Events
April 27-May 1, 2020
Location: Changed to -- Virtual Conference
Section: Events
September 21-25, 2020
Location: Florence, Italy
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)
Section: Publications & Resources
The Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.
Advisor: Sriram Ganapathy
Email: sriram.iisc@gmail.com
Chair: Debarpan Bhattacharya
Email: debarpanbhatta123@gmail.com
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
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.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
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.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
The paper derives the stability bound of the initial mean-square deviation of an adaptive filtering algorithm based on minimizing the 2 L th moment of the estimation error, with L being an integer greater than 1. The analysis is done for a time-invariant plant with even input probability density function. Dependence of the stability bound on the algorithm step-size, type of the noise distribution, signal-to-noise ratio (SNR), and L is studied.
