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Chapter
Communication over the AWGN Channel
In this section, we will cover two main topics. Firstly, we will discuss the logistics of the book, including its organization and structure. Secondly, we will provide a brief overview of the book, including t...
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Chapter
Data Science Applications
In Parts I & II, we have considered a communication problem wherein the goal is to deliver a sequence of information bits from a transmitter to a receiver over a channel. Two prominent channels were taken into...
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Book
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Chapter
Communication over ISI Channels
So far we have focused on the AWGN channel. Under the AGWN channel, we have studied several transmission/reception schemes and characterized the corresponding tradeoff between SNR, the data rate and the error pro...
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Article
Predicting vehicle collisions using data collected from video games
Training a deep learning model for identifying dangerous vehicles requires a large amount of labeled accident data. However, it is difficult to collect a sufficient amount of accident data in the real world. T...
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Chapter and Conference Paper
Reprogramming GANs via Input Noise Design
The goal of neural reprogramming is to alter the functionality of a fixed neural network just by preprocessing the input. In this work, we show that Generative Adversarial Networks (GANs) can be reprogrammed b...
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Chapter and Conference Paper
Autoencoder-Based Graph Construction for Semi-supervised Learning
We consider graph-based semi-supervised learning that leverages a similarity graph across data points to better exploit data structure exposed in unlabeled data. One challenge that arises in this problem conte...
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Article
Longer distance continuous variable quantum key distribution protocol with photon subtraction at the receiver
One of the limitations of continuous variable quantum key distribution is the relatively short transmission distance of secure keys. Some solutions have been proposed to overcome the limitation including rever...
