2 research outputs found
A Framework for Super-Resolution of Scalable Video via Sparse Reconstruction of Residual Frames
This paper introduces a framework for super-resolution of scalable video
based on compressive sensing and sparse representation of residual frames in
reconnaissance and surveillance applications. We exploit efficient compressive
sampling and sparse reconstruction algorithms to super-resolve the video
sequence with respect to different compression rates. We use the sparsity of
residual information in residual frames as the key point in devising our
framework. Moreover, a controlling factor as the compressibility threshold to
control the complexity-performance trade-off is defined. Numerical experiments
confirm the efficiency of the proposed framework in terms of the compression
rate as well as the quality of reconstructed video sequence in terms of PSNR
measure. The framework leads to a more efficient compression rate and higher
video quality compared to other state-of-the-art algorithms considering
performance-complexity trade-offs.Comment: IEEE Military Communications Conference, MILCOM, 201
ComSens: Exploiting Pilot Diversity for Pervasive Integration of Communication and Sensing in MIMO-TDD-Frameworks
In this paper, we propose a fully-integrated radar and communication system
-- named ComSens. We utilize two different pilot sequences (one for uplink and
one for downlink) with the condition that they must be uncorrelated to each
other. Within such a framework, the signal received from end-user and the
back-scattered signal from the desired objects have uncorrelated pilots. Thus,
the base-station is able to distinguish data signal from user and
back-scattered signal from object. We assume a time division duplex (TDD)
framework. The pilot sequences are designed for MIMO channels. We evaluate
channel MSE as a figure of merit for communication system. We also show that
the designed pilots are uncorrelated for a range of time lags. Moreover,
designed uplink pilot has negligible autocorrelation for a range of time lags
leading to an impulse-like autocorrelation for radar sensing.Comment: To be published on IEEE Milcom 201