An integrate-and-fire time-encoding-machine (IF-TEM) is an energy-effici...
Packet losses are common events in today's networks. They usually result...
Modern computationally-heavy applications are often time-sensitive, dema...
Ultra-reliability and low-latency are pivotal requirements of the new
ge...
To improve the utility of learning applications and render machine learn...
For data streaming applications, existing solutions are not yet able to ...
Closing the gap between high data rates and low delay in real-time strea...
We consider the problem of quantizing samples of finite-rate-of-innovati...
The emerging large-scale and data-hungry algorithms require the computat...
One of the main challenges in containing the Coronoavirus disease 2019
(...
Modern communications have moved away from point-to-point models to
incr...
We propose a novel hybrid universal network-coding cryptosystem (HUNCC) ...
We introduce Noise Recycling, a method that substantially enhances decod...
Covert communication conceals transmission of messages from Alice to Bob...
We study the function computation problem in a communications network. T...
We propose a novel multipath multi-hop adaptive and causal random linear...
Analog signals processed in digital hardware are quantized into a discre...
Sparse signals are encountered in a broad range of applications. In orde...
We propose a novel causal coding scheme with forward error correction (F...
Group Testing (GT) addresses the problem of identifying a small subset o...
Data collection in Wireless Sensor Networks (WSN) draws significant
atte...